Python - Programowanie - książki
Książki, ebooki, kursy video z kategorii: Python - Programowanie dostępne w księgarni Helion
-
Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition
-
Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - 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
-
Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
-
Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
-
Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
-
Python for Finance Cookbook. Over 50 recipes for applying modern Python libraries to financial data analysis
-
Mastering Python Networking. Your one-stop solution to using Python for network automation, programmability, and DevOps - Third Edition
-
Using Asyncio in Python. Understanding Python's Asynchronous Programming Features
-
Digital Forensics and Incident Response. Incident response techniques and procedures to respond to modern cyber threats - Second Edition
-
The Data Science Workshop. A New, Interactive Approach to Learning Data Science
-
Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
-
Cyber Minds. Insights on cybersecurity across the cloud, data, artificial intelligence, blockchain, and IoT to keep you cyber safe
-
Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
-
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
-
Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
-
Hands-On Neuroevolution with Python. Build high-performing artificial neural network architectures using neuroevolution-based algorithms
-
Python for Developers
-
Advanced Deep Learning with Python. Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
-
Hands-On Generative Adversarial Networks with PyTorch 1.x. Implement next-generation neural networks to build powerful GAN models using Python
-
Python for DevOps. Learn Ruthlessly Effective Automation
-
Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
-
Hands-On Machine Learning with TensorFlow.js. A guide to building ML applications integrated with web technology using the TensorFlow.js library
-
Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python
-
Hands-On Docker for Microservices with Python. Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes
-
Python API Development Fundamentals. Develop a full-stack web application with Python and Flask
-
Matematyczne przygody z Pythonem
-
The Python Workshop. Learn to code in Python and kickstart your career in software development or data science
-
Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
-
PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python
-
Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition
-
Reinforcement Learning Algorithms with Python. Learn, understand, and develop smart algorithms for addressing AI challenges
-
Practical Deep Learning for Cloud, Mobile, and Edge. Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow
-
Python GUI Programming Cookbook. Develop functional and responsive user interfaces with tkinter and PyQt5 - Third Edition
-
Selenium with Python - A Beginner's Guide
-
Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
-
Learning Geospatial Analysis with Python. Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 - Third Edition
-
Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks
-
Przetwarzanie i analiza danych w języku Python
-
Deep Learning from Scratch. Building with Python from First Principles
-
Learn Python by Building Data Science Applications. A fun, project-based guide to learning Python 3 while building real-world apps
-
Machine Learning Pocket Reference. Working with Structured Data in Python
-
Hands-On Artificial Intelligence for Cybersecurity. Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
-
Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python
-
Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
-
Data Science with Python. Combine Python with machine learning principles to discover hidden patterns in raw data
-
Hands-On Ensemble Learning with Python. Build highly optimized ensemble machine learning models using scikit-learn and Keras
-
Flask Framework Cookbook. Over 80 proven recipes and techniques for Python web development with Flask - Second Edition
-
Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
-
Python Made Simple
-
Python na poważnie
-
Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
-
Python GUI Programming - A Complete Reference Guide. Develop responsive and powerful GUI applications with PyQt and Tkinter
-
Mastering Object-Oriented Python. Build powerful applications with reusable code using OOP design patterns and Python 3.7 - Second Edition
-
Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
-
Mastering Malware Analysis. The complete malware analyst's guide to combating malicious software, APT, cybercrime, and IoT attacks
-
Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
-
Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
-
Hands-On Neural Networks. Learn how to build and train your first neural network model using Python
-
IronPython Studio
-
Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python
-
Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning
-
Mastering GUI Programming with Python. Develop impressive cross-platform GUI applications with PyQt
-
MicroPython Cookbook. Over 110 practical recipes for programming embedded systems and microcontrollers with Python
-
Training Systems using Python Statistical Modeling. Explore popular techniques for modeling your data in Python
-
Hands-On GPU Computing with Python. Explore the capabilities of GPUs for solving high performance computational problems
-
.Automated Testing in Microsoft Dynamics 365 Business Central. Efficiently automate test cases in Dynamics NAV and Business Central
-
Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn
-
Expert Python Programming. Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7 - Third Edition
-
Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
-
Mastering Python for Finance. Implement advanced state-of-the-art financial statistical applications using Python - Second Edition
-
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
-
Odoo 12 Development Cookbook. 190+ unique recipes to build effective enterprise and business applications - Third Edition
-
Network Science with Python and NetworkX Quick Start Guide. Explore and visualize network data effectively
-
Python Data Mining Quick Start Guide. A beginner's guide to extracting valuable insights from your data
-
Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
-
Python Reinforcement Learning. Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
-
Data Science from Scratch. First Principles with Python. 2nd Edition
-
Big Data Analysis with Python. Combine Spark and Python to unlock the powers of parallel computing and machine learning
-
Misja Python. Utwórz swoją kosmiczną grę!
-
Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
-
Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
-
Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
-
Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
-
Python Machine Learning Cookbook. Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets - Second Edition
-
Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
-
Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
-
Learning Python Networking. A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible - Second Edition
-
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
-
TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0
-
Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework
-
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 Ansible. Effectively automate configuration management and deployment challenges with Ansible 2.7 - Third Edition
-
Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
-
Data Wrangling with Python. Creating actionable data from raw sources
-
Getting Started with Qt 5. Introduction to programming Qt 5 for cross-platform application development
-
Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
-
Neural Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
-
Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition
-
Getting Started with Python. Understand key data structures and use Python in object-oriented programming
-
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
-
Hands-On Unsupervised Learning Using Python. How to Build Applied Machine Learning Solutions from Unlabeled Data
-
Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
-
Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
-
Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
-
Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
-
Hands-On Penetration Testing with Python. Enhance your ethical hacking skills to build automated and intelligent systems
-
Hands-On RESTful API Design Patterns and Best Practices. Design, develop, and deploy highly adaptable, scalable, and secure RESTful web APIs
-
Learning Python for Forensics. Leverage the power of Python in forensic investigations - Second Edition
-
Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition
-
Python Network Programming. Conquer all your networking challenges with the powerful Python language
-
QGIS Quick Start Guide. A beginner's guide to getting started with QGIS 3.4
-
Mastering Python Scripting for System Administrators. Write scripts and automate them for real-world administration tasks using Python
-
Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
-
Python w uczeniu maszynowym
-
Data Science with Jupyter
-
Data Science with Machine Learning
-
Machine Learning and Deep Learning Algorithms
-
Natural Computing with Python
-
Python Data Persistence
