W kategorii Python przedstawimy Ci szeroki wybór książek do nauki programowania, które dostosowane są do każdego poziomu umiejętności. Bez względu na to, czy jesteś początkującym programistą, czy doświadczonym developerem, te książki pomogą Ci lepiej zrozumieć koncepcje, składnię i zastosowania Pythona. W dziedzinie języków programowania Python wyróżnia się jako wszechstronne i potężne narzędzie, które zdobyło serca programistów na całym świecie. Znany ze swojej prostoty, czytelności i elastyczności, Python stał się preferowanym językiem do wielu zastosowań, od tworzenia stron internetowych po analizę danych i sztuczną inteligencję.
Python - Programowanie
Książki, ebooki, kursy video z kategorii: Python - Programowanie dostępne w księgarni Helion
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Blender 2.8 By Example is improved and updated to cover the latest Blender 2.8 version and important features like the new EEVEE rendering and Grease Pencil. Starting from brushing up your basics, the book delves into important key tasks like baking, painting, sculpting, and unwrapping to create amazing Blender projects.
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Blender 3D By Example. A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil - Second Edition Blender 3D By Example. A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil - Second Edition
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Metasploit is one of the best frameworks used for enumeration and exploitation of vulnerabilities. This book will not only give you a practical understanding of Metasploit but will also cover some less known modules and auxiliaries for pentesting Web Applications.
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Hands-On Web Penetration Testing with Metasploit. The subtle art of using Metasploit 5.0 for web application exploitation Hands-On Web Penetration Testing with Metasploit. The subtle art of using Metasploit 5.0 for web application exploitation
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You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.
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Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques
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This book will help you successfully implement deep learning in Python to create smart web applications from scratch. You will learn how deep learning can transform a simple web app into a smart, business-friendly product. You will also develop neural networks using open-source libraries and also integrate them with different web stack front-ends.
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Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
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MicroPython Projects is a project-based guide that provides you with a wide range of projects along the lines of electronic applications, Android Applications, GPS, automation devices, and so on. With this pragmatic approach, you will be confident enough to design complex projects on MicroPython spanning altogether njava script:void(4)ew areas of
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MicroPython Projects. A do-it-yourself guide for embedded developers to build a range of applications using Python MicroPython Projects. A do-it-yourself guide for embedded developers to build a range of applications using Python
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Advancements in wireless devices and mobile technology have enabled the acquisition of a tremendous amount of graphics, pictures, and videos. Through cutting edge recipes, this book provides coverage on tools, algorithms, and analysis for image processing. This book provides solutions addressing the challenges and complex tasks of image processing.
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Python Image Processing Cookbook. Over 60 recipes to help you perform complex image processing and computer vision tasks with ease Python Image Processing Cookbook. Over 60 recipes to help you perform complex image processing and computer vision tasks with ease
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Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python, and most importantly, helps you make your storytelling more intuitive and persuasive.
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Interactive Data Visualization with Python. Present your data as an effective and compelling story - Second Edition Interactive Data Visualization with Python. Present your data as an effective and compelling story - Second Edition
Abha Belorkar, Sharath Chandra Guntuku, Shubhangi Hora, Anshu Kumar
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This book is a step by step guide to one-shot learning using Python-based libraries. It is designed to help you understand and design models that can learn information about your data from one, or only a few, training examples. You will also learn to apply these techniques with real-world examples and datasets for classification and regression.
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Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
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Deep learning is rapidly becoming the most popular topic in the industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart AI assistant, augmented reality, and more.
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
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Django 3 By Example, Third Edition, explores key Django features and best practices that every Python web developer should be aware of. This third edition is fully updated for Django 3 and a new chapter on Django Channels for real-time features has been added. Much more than just a reference guide, this book shows you how Django works in the real w
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Django 3 By Example. Build powerful and reliable Python web applications from scratch - Third Edition Django 3 By Example. Build powerful and reliable Python web applications from scratch - Third Edition
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A first-hand look into how quantum computing and Blockchain together are redefining industries, including fintech, healthcare, and research. Through a series of interviews with domain experts, Arun also explores the potential of these technologies to transform national and global governance and policies.
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Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain
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This book provides practical knowledge about the main pillars of EDA including data cleaning, data preparation, data exploration, and data visualization. You can leverage the power of Python to understand, summarize and investigate your data in the best way possible. The book presents a unique approach to exploring hidden features in your data.
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Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
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This recipe-based guide is intended to solve common problems in building web apps with Django 3 and Python. Starting from setting up your environment, you will come across actionable solutions for common tasks like building models, forms, views, data management, through to testing, deploying, and securing your web apps.
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Django 3 Web Development Cookbook. Actionable solutions to common problems in Python web development - Fourth Edition Django 3 Web Development Cookbook. Actionable solutions to common problems in Python web development - Fourth Edition
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Now in its third edition, this is the original book on OpenCV’s Python bindings. Readers will learn a great range of techniques and algorithms, from the classics to the state-of-the-art, and from geometry to machine learning. All of this is in aid of solving practical computer vision problems in well-built applications.
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Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition
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The place of machine learning in art is growing at a rapid pace because of recent advancements in the field. Magenta is at the forefront of that innovation. This book provides a hands-on approach to machine learning models for music generation and demonstrates how to integrate them into an existing music production workflow. Complete with practical
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Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
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Python is becoming the number one language for data science and also quantitative finance. This book provides you with solutions to common tasks from the intersection of quantitative finance and data science, using modern Python libraries.
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Python for Finance Cookbook. Over 50 recipes for applying modern Python libraries to financial data analysis Python for Finance Cookbook. Over 50 recipes for applying modern Python libraries to financial data analysis
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Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains.
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Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
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With six new chapters, Deep Reinforcement Learning Hands-On Second edition is completely updated and expanded with the very latest reinforcement learning (RL) tools and techniques, providing you with an introduction to RL, as well as the hands-on ability to code intelligent learning agents to perform a range of practical tasks.
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Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition
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A new second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems, updated to include Python 3.8 and TensorFlow 2.x as well as the latest in new algorithms and techniques.
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Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
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Completely updated and revised edition of the bestselling guide to artificial intelligence, updated to Python 3.8, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, machine learning data pipelines, chatbots, Big Data, and more.
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Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition
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Cut through the noise and get real results with a step-by-step approach to data science
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The Data Science Workshop. A New, Interactive Approach to Learning Data Science The Data Science Workshop. A New, Interactive Approach to Learning Data Science
Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare
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An understanding of how digital forensics integrates with the overall response to cybersecurity incidents is a must for all organizations. This book offers concrete and detailed guidance on how to conduct the full spectrum of incident response and digital forensic activities.
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Digital Forensics and Incident Response. Incident response techniques and procedures to respond to modern cyber threats - Second Edition Digital Forensics and Incident Response. Incident response techniques and procedures to respond to modern cyber threats - Second Edition
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Feature engineering is invaluable for developing and enriching your machine learning models. In this book, you will work with the best Python tools to streamline your feature engineering pipelines, feature engineering techniques and simplify and improve the quality of your code.
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
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With new technology threats, rising international tensions, and state-sponsored cyber attacks, cybersecurity is more important than ever. Featuring contributions from cybersecurity CEOs, military generals, and industry leaders, Cyber Minds acts as a strategic briefing on cybersecurity and data safety.
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Cyber Minds. Insights on cybersecurity across the cloud, data, artificial intelligence, blockchain, and IoT to keep you cyber safe Cyber Minds. Insights on cybersecurity across the cloud, data, artificial intelligence, blockchain, and IoT to keep you cyber safe
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The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tasks and build next-generation games using a practical
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Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
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Cybersecurity – Attack and Defense Strategies, Second Edition is a completely revised new edition of the bestselling book that covers the very latest security threats and defense strategies, updated for 2020.
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Cybersecurity - Attack and Defense Strategies. Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals - Second Edition Cybersecurity - Attack and Defense Strategies. Counter modern threats and employ state-of-the-art tools and techniques to protect your organization against cybercriminals - Second Edition
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Deep Learning with TensorFlow 2 and Keras, Second Edition teaches deep learning techniques alongside TensorFlow (TF) and Keras. The book introduces neural networks with TensorFlow, runs through the main applications, covers two working example apps, and then dives into TF and cloudin production, TF mobile, and using TensorFlow with AutoML.
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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This book will help you to apply popular neuroevolution strategies to existing neural network designs to improve their performance. It covers practical examples in areas such as games, robotics, and simulation of natural processes, using real-world examples and data sets for your better understanding.
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Hands-On Neuroevolution with Python. Build high-performing artificial neural network architectures using neuroevolution-based algorithms Hands-On Neuroevolution with Python. Build high-performing artificial neural network architectures using neuroevolution-based algorithms
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This third edition is updated with TensorFlow 2 and the latest additions to scikit-learn. Packed with clear explanations, visualizations, and working examples, the book covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: reinforcement learning and generative adversarial networks.
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
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This book is an expert-level guide to master the neural network variants using the Python ecosystem. You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to date with the latest advances and current researches in the deep learning domain.
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Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
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This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective.
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Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python
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Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.
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Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library
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This book helps data scientists and cybersecurity experts on implementing the latest AI techniques in cybersecurity. Concrete and clear steps for implementing ML security systems are provided, saving you months in research and development. By the end of this book, you will be able to build defensive systems to curb cybersecurity threats.
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Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
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This book teaches you all that’s needed to build a fully functional web application from scratch. You'll learn all the necessary tools and modules that are required in the process. Beginning with the basics of RESTful API, you'll complete the book by building and deploying an industry-grade web application.
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Python API Development Fundamentals. Develop a full-stack web application with Python and Flask Python API Development Fundamentals. Develop a full-stack web application with Python and Flask
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Microservices architecture helps create a complex system that can be maintained by independent teams working in parallel. You’ll learn how to structure big systems, encapsulate them using Docker, and deploy them using Kubernetes. By the end of this book, you’ll know how to design, deploy and operate a complex system with multiple micr
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Hands-On Docker for Microservices with Python. Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes Hands-On Docker for Microservices with Python. Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes
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More than just a Python guide for beginners, The Python Workshop takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with data science and more. Filled with practical step-by-step examples and interactive exercises, you'll learn by doing as you grow your new Python skillset.
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The Python Workshop. Learn to code in Python and kickstart your career in software development or data science The Python Workshop. Learn to code in Python and kickstart your career in software development or data science
Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade
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This book presents practical solutions to the most common reinforcement learning problems. The recipes in this book will help you understand the fundamental concepts to develop popular RL algorithms. You will gain practical experience in the RL domain using the modern offerings of the PyTorch 1.x library.
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PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python
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Odoo is a comprehensive set of open-source enterprise management applications. With, you will have access to a powerful website builder, integrated e-commerce features, and a fast growing community to help transform and modernize your business. This book will take you the essential features of Odoo and how you can make the best use of them.
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Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
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pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful techniques and real-world examples on getting the most out of pandas for expert-level data manipulation, analysis and visualization.
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Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition
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With this book, you will understand the core concepts and techniques of reinforcement learning. You will take a look into each RL algorithm and will develop your own self-learning algorithms and models. You will optimize the algorithms for better precision, use high-speed actions and lower the risk of anomalies in your applications.
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Reinforcement Learning Algorithms with Python. Learn, understand, and develop smart algorithms for addressing AI challenges Reinforcement Learning Algorithms with Python. Learn, understand, and develop smart algorithms for addressing AI challenges
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Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. This book follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary.
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Python GUI Programming Cookbook. Develop functional and responsive user interfaces with tkinter and PyQt5 - Third Edition Python GUI Programming Cookbook. Develop functional and responsive user interfaces with tkinter and PyQt5 - Third Edition
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Hands-on Application Development with PyCharm addresses the modern-age enterprise application development concerns and how to solve them using a variety of features and functionalities available in PyCharm. This book will help you master the art of developing and delivering production-ready and real-world python applications to your clients.
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Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
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This book is a guide to the TensorFlow (TF) framework, from the static graph architecture of TF 1.x to the eager execution and all the new features introduced in TF 2.0. Neural Networks applications are developed throughout the book with the aim of making the reader capable of developing neural networks-based solutions to real problems using TF 2.0
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Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks
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This book will teach Python to complete beginners through a set of 3 practical projects. Its content goes over developing a handful of scripts, performing data analysis, train machine learning models and roll them into production. We will further outline the advanced topics and direct readers to relevant resources.
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Learn Python by Building Data Science Applications. A fun, project-based guide to learning Python 3 while building real-world apps Learn Python by Building Data Science Applications. A fun, project-based guide to learning Python 3 while building real-world apps
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This book will be a handy guide to quickly learn pandas and understand how it can empower you in the exciting world of data manipulation, analysis, and data science. You will learn how to use pandas to perform numeric and statistical analysis using real-world examples. You will also visualize statistical data and apply pandas to different domains.
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Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python
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This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.
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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Data Science with Python will help you get comfortable with using the Python environment for data science. You will learn all the libraries that a data scientist uses on a daily basis. By the end of this course, you will be able to take a large raw dataset, clean it, manipulate it, and run machine learning algorithms to obtain results that influenc
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Master Data Science with Python. Combine Python with machine learning principles to discover hidden patterns in raw data Master Data Science with Python. Combine Python with machine learning principles to discover hidden patterns in raw data
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Ensemble learning can provide the necessary methods to improve the accuracy and performance of existing models. In this book, you'll understand how to combine different machine learning algorithms to produce more accurate results from your models.
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Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras
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This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.
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Flask Framework Cookbook. Over 80 proven recipes and techniques for Python web development with Flask - Second Edition Flask Framework Cookbook. Over 80 proven recipes and techniques for Python web development with Flask - Second Edition
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Web scraping is an essential technique used in many organizations to scrape valuable data from web pages. This book will help you master web scraping techniques and methodologies using Python libraries and other popular tools such as Selenium. By the end of this book, you will have learned how to efficiently scrape different websites.
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Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
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This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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This Learning Path guides you through every concept necessary to create fully functional GUI applications using PyQt and Tkinter with only a few lines of code. You’ll learn to design and build GUIs that are functional, appealing, and user-friendly using the powerful combination of Python and its GUI frameworks.
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Python GUI Programming - A Complete Reference Guide. Develop responsive and powerful GUI applications with PyQt and Tkinter Python GUI Programming - A Complete Reference Guide. Develop responsive and powerful GUI applications with PyQt and Tkinter
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Mastering Object-Oriented Python, Second Edition, will introduce the advanced features of the Python programming language to create the highest quality Python programs possible. This means exploring design alternatives and determining which design offers the best performance, while still being a good fit with the problem being solved.
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Mastering Object-Oriented Python. Build powerful applications with reusable code using OOP design patterns and Python 3.7 - Second Edition Mastering Object-Oriented Python. Build powerful applications with reusable code using OOP design patterns and Python 3.7 - Second Edition
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Starting with the basics, this book teaches you how to choose from the various text pre-processing techniques and select the best model from the several neural network architectures for NLP issues.
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Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
Karthiek Reddy Bokka, Shubhangi Hora, Tanuj Jain, Monicah Wambugu
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Malware analysis is a powerful investigation technique widely used in various security areas including digital forensics and incident response processes. Working through practical examples, you'll be able to analyze any type of malware you may encounter within the modern world.
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Mastering Malware Analysis. The complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks Mastering Malware Analysis. The complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks
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Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.
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Principles of Strategic Data Science. Creating value from data, big and small Principles of Strategic Data Science. Creating value from data, big and small
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This book will help you leverage the power of data analysis and apply it to location and geospatial data to gain interesting insights. It presents useful tools and location intelligence techniques in Python to implement geospatial analytics from scratch.
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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This book will be a journey for beginners who want to step into the world of deep learning and artificial intelligence. It will thoughtfully take you through the training and implementation of various neural network architectures using the Python ecosystem. You will master each neural network architecture while understanding its working mechanism.
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Hands-On Neural Networks. Learn how to build and train your first neural network model using Python Hands-On Neural Networks. Learn how to build and train your first neural network model using Python
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Computer vision is achieving a new frontier of capabilities in fields like health, automobile or robotics. This book explores TensorFlow 2, Google's open-source AI framework, and teaches how to leverage deep neural networks for visual tasks. It will help you acquire the insight and skills to be a part of the exciting advances in computer vision.
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Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
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Starting with the basics, Applied Unsupervised Learning with Python explains various techniques that you can apply to your data using the powerful Python libraries so that your unlabeled data reveals solutions to all your business questions.
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Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python
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A supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly and powerfully apply algorithms to new problems.
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Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning
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MicroPython is an open source implementation of Python 3 language that runs on embedded environments. With MicroPython you can write clean and simple Python code to control hardware instead of having to use complex low-level languages such as C or C++. If you want to create devices that interact with physical world, this cookbook is perfect for you
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MicroPython Cookbook. Over 110 practical recipes for programming embedded systems and microcontrollers with Python MicroPython Cookbook. Over 110 practical recipes for programming embedded systems and microcontrollers with Python
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This book will acquaint you with various aspects of statistical analysis in Python. You will work with different types of prediction models, such as decision trees, random forests and neural networks. By the end of this book, you will be confident in using various Python packages to train your own models for effective machine learning.
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Training Systems using Python Statistical Modeling. Explore popular techniques for modeling your data in Python Training Systems using Python Statistical Modeling. Explore popular techniques for modeling your data in Python
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GPU technologies are the paradigm shift in modern computing. This book will take you through architecting your GPU-based systems to deploying the computational models on GPUs for faster processing. You will learn to program your GPUs to build a GPU-accelerated environment for accelerating machine learning models and other data-intensive processing
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Hands-On GPU Computing with Python. Explore the capabilities of GPUs for solving high performance computational problems Hands-On GPU Computing with Python. Explore the capabilities of GPUs for solving high performance computational problems
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Dynamics 365 Business Central is the new Cloud-based SaaS ERP proposition from Microsoft. It’s not as simple as it used to be way back when it was called Navigator, Navision Financials, or Microsoft Business Solutions-Navision. Our development practices are becoming more formal, and with this the call for test automation is pressing on us. T
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Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central
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This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets.
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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
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This book enables you to develop financial applications by harnessing Python’s strengths in data visualization, interactive analytics, and scientific computing. You will be using popular libraries such as TensorFlow, Keras, scikit-learn, and so on to extend the functionalities of your financial applications by using smart machine learning te
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Mastering Python for Finance. Implement advanced state-of-the-art financial statistical applications using Python - Second Edition Mastering Python for Finance. Implement advanced state-of-the-art financial statistical applications using Python - Second Edition
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Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively.
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Expert Python Programming. Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7 - Third Edition Expert Python Programming. Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7 - Third Edition
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Data Science Projects with Python will help you build a toolkit for solving data science problems with Python. You will learn how to implement machine learning techniques for deriving insights from data. These skills will help you develop the kind of state-of-the-art predictive models that are used to deliver value to businesses across industries.
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Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn
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Applied Supervised Learning with Python provides you a rich understanding of machine learning, one of the most pursued topics in information science, and Python, one of the most popular scripting languages. Through this book, you'll learn Jupyter Notebooks, the technology used in academic and commercial circles with in-line code running support.
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Applied Supervised Learning with Python. Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning Applied Supervised Learning with Python. Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
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Odoo 12 Development Cookbook is a complete resource which provides you with various development scenarios to build complex business applications with the Odoo framework. This book will help you with implementing the new features released with the latest version in your enterprise projects.
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Odoo 12 Development Cookbook. 190+ unique recipes to build effective enterprise and business applications - Third Edition Odoo 12 Development Cookbook. 190+ unique recipes to build effective enterprise and business applications - Third Edition
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This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cleaning, analysis, visualization to build an efficient data mining pipeline.
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Python Data Mining Quick Start Guide. A beginner's guide to extracting valuable insights from your data Python Data Mining Quick Start Guide. A beginner's guide to extracting valuable insights from your data
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Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control the data avalanche for you. With this book, you'll learn effective techniques to aggregate data into useful dimensions for posterior analysis, extract statist
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Big Data Analysis with Python. Combine Spark and Python to unlock the powers of parallel computing and machine learning Big Data Analysis with Python. Combine Spark and Python to unlock the powers of parallel computing and machine learning
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This book will give you an in-depth view of the potential of deep learning and neural networks in game development. You will also learn to use neural nets combined with reinforcement learning for new types of game AI.
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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
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Artificial intelligence (AI) is rapidly becoming the most popular topic in business and science. This book introduces AI concepts and their use cases with a hands-on and application-focused approach. We will cover a range of projects covering tasks such as automated reasoning, facial recognition, digital assistants, auto text generation, and more.
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Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
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Natural Language Processing Fundamentals starts with basics and goes on to explain various NLP tools and techniques that equip you with all that you need to solve common business problems for processing text.
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Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
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With this book, you will learn how to perform various machine learning tasks in different environments. You’ll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms using complex datasets and optimized techniques.
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Python Machine Learning Cookbook. Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets - Second Edition Python Machine Learning Cookbook. Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets - Second Edition
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TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.
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TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0 TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0
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This book will be an excellent resource for both Python and R developers and will help them apply data science and machine learning to marketing with real-world data sets. By the end of this book, you will be well equipped with the required knowledge and expertise to draw insights from data and improve your marketing strategies.
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Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
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Mastering OpenCV 4 with Python is a comprehensive guide to help you to get acquainted with various computer vision algorithms running in real-time. This book will help you to build complete projects on image processing, motion detection, and image segmentation where you can gain advanced computer vision techniques.
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Mastering OpenCV 4 with Python. A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7 Mastering OpenCV 4 with Python. A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
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Python is a popular programming language used for performing network automation in an easy-to-implement way. This book is an update to Learning Python Networking, and delves into the concepts of Python network programming and its importance in today’s world.
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Learning Python Networking. A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible - Second Edition Learning Python Networking. A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible - Second Edition
José Manuel Ortega, Dr. M. O. Faruque Sarker, Sam Washington
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In this book, you'll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performant analytics with large-scale data.
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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Here we show how an end-to-end serverless application can be built at scale in a production environment with a few lines of Python configuration. We show you how to set up, configure and create different parts of the stack, including using the AWS Management Console and AWS Serverless Application Model (SAM). We also provide Python code, which can
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Building Serverless Microservices in Python. A complete guide to building, testing, and deploying microservices using serverless computing on AWS Building Serverless Microservices in Python. A complete guide to building, testing, and deploying microservices using serverless computing on AWS
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Cognitive Toolkit is one of the most popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks.
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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework
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Mastering Geospatial Development with QGIS 3.x. An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python - Third Edition Mastering Geospatial Development with QGIS 3.x. An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python - Third Edition
Shammunul Islam, Simon Miles, Kurt Menke, GISP, Richard Smith Jr., GISP, Luigi Pirelli, John Van Hoesen, GISP
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Automation is essential for success in the modern DevOps world. Ansible provides a simple yet powerful automation engine to tackle complex automation challengesThis book provides you with the knowledge you need to understand how Ansible 2.7 works at a fundamental level and leverage its advanced capabilities.
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Mastering Ansible. Effectively automate configuration management and deployment challenges with Ansible 2.7 - Third Edition Mastering Ansible. Effectively automate configuration management and deployment challenges with Ansible 2.7 - Third Edition
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Python Machine Learning by Example covers in detail the most important concepts, techniques, algorithms, and libraries that every data scientist or machine learning practitioner needs to know. This example-enriched guide will make your learning journey easier and happier, enabling you to solve real-world data-driven problems.
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Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition
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Qt is a cross-platform application framework and widget toolkit that is used to create graphical user interface applications that run on a number of different hardware and operating systems. The main aim of this book is to introduce Qt to the reader with simple and easy to understand examples without focusing too much on theory.
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Getting Started with Qt 5. Introduction to programming Qt 5 for cross-platform application development Getting Started with Qt 5. Introduction to programming Qt 5 for cross-platform application development
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Data is the new oil, but it comes crude. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. Data Wrangling with Python teaches you the essentials that will get you up and running with data wrangling in no time.
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Data Wrangling with Python. Creating actionable data from raw sources Data Wrangling with Python. Creating actionable data from raw sources
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This book presents solutions to the majority of the challenges you will face while training neural networks to solve deep learning problems. It covers the trending deep learning architectures used in industry and tackles a variety of use cases in computer vision, text processing, audio analysis, recommender systems, and game bots
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Neural Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots Neural Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
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With this Learning Path, you will gain complete knowledge to solve problems by building high performing applications loaded with asynchronous, multithreaded code and proven design patterns.
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Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
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Unsupervised learning is a key required block in both machine learning and deep learning domains. You will explore how to make your models learn, grow, change, and develop by themselves whenever they are exposed to a new set of data. With this book, you will learn the art of unsupervised learning for different real-world challenges.
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Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
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This Learning Path is a thorough and practical introduction to Python. You will learn all about Python data structures, its most common algorithms, and its objects, and use all these to create clever applications that will transform your business.
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Getting Started with Python. Understand key data structures and use Python in object-oriented programming Getting Started with Python. Understand key data structures and use Python in object-oriented programming
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This Learning Path takes you on a journey in the world of robotics and teaches you all that you can achieve with Raspberry Pi and Python - from building a movie recommendations system to creating your own self-driven robotic vehicle.
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Getting Started with Python for the Internet of Things. Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi Getting Started with Python for the Internet of Things. Leverage the full potential of Python to prototype and build IoT projects using the Raspberry Pi
Tim Cox, Steven Lawrence Fernandes, Sai Yamanoor, Srihari Yamanoor, Prof. Diwakar Vaish
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This book is for Python developers to implement various components of end-to-end decentralized applications such as cryptocurrencies, smart contracts, wallet and more. You will use the example-based approach using various libraries from Python ecosystem to build efficient and powerful blockchain applications at work or projects.
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Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
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This book uses a recipe-based approach to showcase the power of machine learning algorithms to build ensemble models using Python libraries. Through this book, you will be able to pick up the code, understand in depth how it works, execute and implement it efficiently. This will be a desk reference to implement a wide range of tasks and solve the c
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Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
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This book is a blend of penetration testing and best practices industrial automation in cybersecurity space with Python. This book will enable pentesters to take their skills to the next level by leveraging the power of Python and explaining the core concepts that will come in handy when making robust cybersecurity tools and custom exploits.
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Hands-On Penetration Testing with Python. Enhance your ethical hacking skills to build automated and intelligent systems Hands-On Penetration Testing with Python. Enhance your ethical hacking skills to build automated and intelligent systems
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In this book, we will use different complexities of datasets in order to build end-to-end projects. With every chapter, the level of complexity and operations will become advanced. It consists of 8 full-fledged projects covering approaches such as 3D-GAN, Age-cGAN, DCGAN, SRGAN, StackGAN, and CycleGAN with real-world use cases.
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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
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Learning Python for Forensics, Second Edition begins by introducing you to the fundamentals of Python. You will learn how to develop Python scripts through an iterative design. This book will also help you strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials.
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Learning Python for Forensics. Leverage the power of Python in forensic investigations - Second Edition Learning Python for Forensics. Leverage the power of Python in forensic investigations - Second Edition
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Machine Learning (ML) is transforming the way we understand and interact with the world around us. This book is a perfect guide for you to use the Python ecosystem to cover key domains in the machine learning. You will learn to implement advanced concepts and most used machine learning algorithms using complex datasets and optimized techniques.
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Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition
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REST architecture (style) is a pivot of distributed systems, simplify data integration amongst modern and legacy applications leverages through the RESTful paradigm. This book is fully loaded with many RESTful API patterns, samples, hands-on implementations and also discuss the capabilities of many REST API frameworks for Java, Scala, Python and Go
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Hands-On RESTful API Design Patterns and Best Practices. Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs Hands-On RESTful API Design Patterns and Best Practices. Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs
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The science of gathering and extracting information from data-intensive applications bring in the challenge of writing complex libraries and efficient programs using high level languages like Python, R, so on. This book aims to explore the power of Unix-styled scripting tools like awk, bash, grep and package them as highly efficient built-in progra
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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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Python is a powerful yet very simple programming language. This book covers topics such as text processing, network administration, building GUI, web-scraping as well as database administration including data analytics & reporting.
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Mastering Python Scripting for System Administrators. Write scripts and automate them for real-world administration tasks using Python Mastering Python Scripting for System Administrators. Write scripts and automate them for real-world administration tasks using Python
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The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you’ll learn the state-of-the-art algorithms to teach the machines how to play games like Go and Atari.
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
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Data Analysis with Python offers you an exciting new approach to data analysis that lets you work with the latest and most powerful Python tools, techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science and the power of programming and algorithms in Python, so you can work with complex algorithms, and
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With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.
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Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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The book will allow readers to implement smart solutions to their existing cybersecurity products and effectively build intelligent solutions which cater to the needs of the future. By the end of this book, you will be able to build, apply, and evaluate machine learning algorithms to identify various cybersecurity potential threats.
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Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem
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Hands-On Enterprise Application Development with Python explains how Python has matured to become a suitable programming language to build robust applications that scale easily to manage the requirements of the enterprise. The book will explore features of Python 3.7, tested frameworks and tools and best programming practices for developing scalabl
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Hands-On Enterprise Application Development with Python. Design data-intensive Application with Python 3 Hands-On Enterprise Application Development with Python. Design data-intensive Application with Python 3
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This book will teach you all the processes you need to build a predictive analytics solution: understanding the problem, preparing datasets, exploring relationships, model building, tuning, evaluation, and deployment. You'll earn to use Python and its data analytics ecosystem to implement the main techniques used in real-world projects.
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Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment
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Bayesian inference uses probability distributions and Bayes' theorem to build flexible models.The book uses PyMC3 to abstract all the mathematical and computational details from this process allowing readers to solve a wide range of problems in data science.
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Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
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Python is the language of choice for millions of developers worldwide, due to its gentle learning curve as well as its vast applications in day-to-day programming. It serves the purpose of building great web services in the RESTful architecture. This second edition will show you the best tools you can use to build your own web services.
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Hands-On RESTful Python Web Services. Develop RESTful web services or APIs with modern Python 3.7 - Second Edition Hands-On RESTful Python Web Services. Develop RESTful web services or APIs with modern Python 3.7 - Second Edition
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If you want to develop complete Python web apps with Django, then this Learning Path is for you. You will walk through Python programming techniques, and them implement them for creating four professional Django projects, teaching you how to solve common problems and develop RESTful web services with Django and Python. You will learn how to build a
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Learn Web Development with Python. Get hands-on with Python Programming and Django web development Learn Web Development with Python. Get hands-on with Python Programming and Django web development
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Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more.
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei
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Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek.
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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou
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This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden
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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
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Artificial Intelligence and Machine Learning Fundamentals teaches you machine learning and neural networks from the ground up using real-world examples. After you complete this book, you will be excited to revamp your current projects or build new intelligent networks.
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Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances
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NLP in Python is among the most sought-after skills among data scientists. With code and relevant case studies, this book will show how you can use industry grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.
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Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer
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Using the hands-on recipes, you'll be able to apply your learning to practical research and analysis in computational biology with Python. You’ll understand modern, practical applications of bioinformatics using popular programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data.
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Bioinformatics with Python Cookbook. Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology - Second Edition Bioinformatics with Python Cookbook. Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology - Second Edition
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As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains the scikit-learn API, which is a package created to facilitate the process of building machine learning applications. By explaining the differences between supervised and unsupervised models and by apply
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Machine Learning Fundamentals. Use Python and scikit-learn to get up and running with the hottest developments in machine learning Machine Learning Fundamentals. Use Python and scikit-learn to get up and running with the hottest developments in machine learning
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Learn Programming in Python with Cody Jackson will take you through the basics of programming (and how Python implements those concepts) to write a complete, production-ready application. Each topic builds on the previous ones, so you'll learn how a complete application is built from the ground up, rather than just learning separate aspects of prog
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Learn Programming in Python with Cody Jackson. Grasp the basics of programming and Python syntax while building real-world applications Learn Programming in Python with Cody Jackson. Grasp the basics of programming and Python syntax while building real-world applications
Dlaczego Python?
Czysta i intuicyjna składnia Pythona czyni go idealnym wyborem dla początkujących. Dzięki wykorzystaniu wcięć do definiowania bloków kodu, kod Pythona jest łatwy do zrozumienia, nawet dla tych, którzy dopiero zaczynają programować. Ta prostota przyspiesza krzywą nauki i zachęca programistów do skupienia się na rozwiązywaniu problemów, a nie na skomplikowanej składni. Język Python cechuje duża wszechstronność, więc jeśli fascynuje Cię analiza danych, tworzenie gier, aplikacje webowe czy tematy uczenia maszynowego i sztucznej inteligencji, nasze książki dostarczą Ci wiedzę i narzędzia niezbędne do eksploracji tych obszarów.
Książki Python dla początkujących
Książki do nauki programowania w języku Python to idealna propozycja dla tych, którzy dopiero stawiają swoje pierwsze kroki w programowaniu. Nasze książki skupiają się na podstawach tego języka, zapewniając czytelne i zrozumiałe wyjaśnienia. Wszystkie z naszych pozycji są dostępne również w formacie PDF, MOBI, EPUB, umożliwiając elastyczne korzystanie z materiałów. Jeśli szukasz kursu Python dla początkujących, mamy dla ciebie także różnorodne szkolenia video, które krok po kroku wprowadzą cię w świat programowania.
Dla tych, którzy pragną zdobyć solidne fundamenty w programowaniu w Pythonie, nasze książki stanowią cenne źródło wiedzy. Książka Python. Wprowadzenie to kluczowy element Twojej podróży ku opanowaniu tego wszechstronnego języka. Bez względu na to, czy jesteś początkującym, czy doświadczonym programistą, nasze książki o programowaniu w Pythonie zapewnią Ci bogate i praktyczne materiały.
Czy nauka Pythona jest trudna?
Absolutnie nie, zwłaszcza gdy sięgniesz po klarowne porady z książki Python. Instrukcje dla programisty. Dzięki lekturze, nauka programowania stanie się satysfakcjonującym procesem, a Ty zdobędziesz pewność w posługiwaniu się językiem Python.
Rozpoczęcie nauki programowania może być niezwykle ekscytujące, a my oferujemy najlepsze książki do nauki Pythona, które uczynią tę podróż jeszcze bardziej fascynującą. Niezależnie czy preferujesz programowanie funkcyjne, obiektowe czy strukturalne w Pythonie, mamy dla ciebie odpowiednie źródła wiedzy.
Nie ma znaczenia, czy jesteś doświadczonym programistą Pythona, który pragnie pogłębić swoją wiedzę, czy też zupełnie początkującym w programowaniu – nasze książki dostosowane są do każdego poziomu umiejętności. Znajdziesz u nas książki dla dzieci uczące podstaw programowania Python w sposób przystępny i zabawny. Jeśli jesteś zaawansowanym Python Developerem, również znajdziesz u nas wartościowe materiały.
Python dla specjalistów z innych dziedzin: książki dla zaawansowanych
Oferujemy również bogaty wybór książek dotyczących zaawansowanego Pythona, czystego kodu w Pythonie, data science, uczenia maszynowego, głębokiego uczenia oraz tworzenia aplikacji webowych. Bez względu na to, czy potrzebujesz książki ułatwiającej zrozumienie zaawansowanych koncepcji, czy materiałów pomagających tworzyć efektywny i zrozumiały kod, wszystko to znajdziesz na Helion.pl.
Nasza kolekcja to prawdziwa skarbnica wiedzy, która umożliwi Ci nie tylko naukę, ale także praktyczne zastosowanie zdobytych umiejętności. Znajdziesz u nas najlepsze książki o Pythonie dla początkujących oraz dla tych, którzy chcą pójść o krok dalej. Wszystko to, byś mógł stworzyć solidne fundamenty języka Python i zdobyć pewność w programowaniu. Dzięki naszym książkom, nauka programowania stanie się pasjonującą podróżą, a tworzenie kodu przestanie być tajemnicą.