Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
Packt Publishing - ebooki
więcej »
-
Django in Production. Expert tips, strategies, and essential frameworks for writing scalable and maintainable code in Django
-
Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
-
Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system
-
Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
-
Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
-
Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks
-
The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide
-
A Developer's Guide to .NET in Azure. Build quick, scalable cloud-native applications and microservices with .NET 6.0 and Azure
-
Streamlit for Data Science. Create interactive data apps in Python - Second Edition
-
Python for Finance Cookbook. Over 80 powerful recipes for effective financial data analysis - Second Edition
-
Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation
-
Network Protocols for Security Professionals. Probe and identify network-based vulnerabilities and safeguard against network protocol breaches
-
Bioinformatics with Python Cookbook. Use modern Python libraries and applications to solve real-world computational biology problems - Third Edition
-
Building Python Web APIs with FastAPI. A fast-paced guide to building high-performance, robust web APIs with very little boilerplate code
-
Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition
-
Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
-
Time Series Analysis with Python Cookbook. Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
-
Becoming an Enterprise Django Developer. Discover best practices, tooling, and solutions for writing and organizing Django applications in production
-
Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
-
Distributed .NET with Microsoft Orleans. Build robust and highly scalable distributed applications without worrying about complex programming patterns
-
Designing Production-Grade and Large-Scale IoT Solutions. A comprehensive and practical guide to implementing end-to-end IoT solutions
-
Mastering Python. Write powerful and efficient code using the full range of Python’s capabilities - Second Edition
-
Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
-
Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems
-
Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
-
Python for ArcGIS Pro. Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas
-
Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
-
Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
-
Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
-
Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
-
Advanced Python Programming. Accelerate your Python programs using proven techniques and design patterns - Second Edition
-
Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
-
Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
-
Cryptography Algorithms. A guide to algorithms in blockchain, quantum cryptography, zero-knowledge protocols, and homomorphic encryption
-
Actionable Insights with Amazon QuickSight. Develop stunning data visualizations and machine learning-driven insights with Amazon QuickSight
-
Building Big Data Pipelines with Apache Beam. Use a single programming model for both batch and stream data processing
-
Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics
-
Speed Up Your Python with Rust. Optimize Python performance by creating Python pip modules in Rust with PyO3
-
Python Architecture Patterns. Master API design, event-driven structures, and package management in Python
-
Creating Actionable Insights Using CRM Analytics. Learn how to build insightful and actionable data analytics dashboards
-
Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
-
Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
-
The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
-
Mastering Ansible. Automate configuration management and overcome deployment challenges with Ansible - Fourth Edition
-
Azure Data Scientist Associate Certification Guide. A hands-on guide to machine learning in Azure and passing the Microsoft Certified DP-100 exam
-
Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
-
Learn Amazon SageMaker. A guide to building, training, and deploying machine learning models for developers and data scientists - Second Edition
-
Natural Language Processing with AWS AI Services. Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend
-
Privilege Escalation Techniques. Learn the art of exploiting Windows and Linux systems
-
Serverless Analytics with Amazon Athena. Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure
-
Enterprise DevOps for Architects. Leverage AIOps and DevSecOps for secure digital transformation
-
Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples
-
Learn Python Programming. An in-depth introduction to the fundamentals of Python - Third Edition
-
Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
-
Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
-
Maximizing Tableau Server. A beginner's guide to accessing, sharing, and managing content on Tableau Server
-
Python GUI Programming with Tkinter. Design and build functional and user-friendly GUI applications - Second Edition
-
Python for Geeks. Build production-ready applications using advanced Python concepts and industry best practices
-
Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
-
Python Network Programming Techniques. 50 real-world recipes to automate infrastructure networks and overcome networking challenges with Python
-
Algorithmic Short Selling with Python. Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product
-
Practical Data Science with Python. Learn tools and techniques from hands-on examples to extract insights from data
-
Python Microservices Development. Build efficient and lightweight microservices using the Python tooling ecosystem - Second Edition
-
Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
-
Mastering Transformers. Build state-of-the-art models from scratch with advanced natural language processing techniques
-
Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
-
Dancing with Python. Learn to code with Python and Quantum Computing
-
Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI
-
Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
-
Data Science Projects with Python. A case study approach to gaining valuable insights from real data with machine learning - Second Edition
-
Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
-
Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition
-
Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
-
Python Object-Oriented Programming. Build robust and maintainable object-oriented Python applications and libraries - Fourth Edition
-
Python Ethical Hacking from Scratch. Think like an ethical hacker, avoid detection, and successfully develop, deploy, detect, and avoid malware
-
Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
-
Designing Professional Websites with Odoo Website Builder. Create and customize state-of-the-art websites and e-commerce apps for your modern business needs
-
Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
-
Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
-
Expert Python Programming. Master Python by learning the best coding practices and advanced programming concepts - Fourth Edition
-
Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
-
Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
-
Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
-
Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
-
Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
-
Azure Data Engineering Cookbook. Design and implement batch and streaming analytics using Azure Cloud Services
-
Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
-
Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples
-
AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
-
Modernizing Oracle Tuxedo Applications with Python. A practical guide to using Oracle Tuxedo in the 21st century
-
Python Natural Language Processing Cookbook. Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks
-
Forecasting Time Series Data with Facebook Prophet. Build, improve, and optimize time series forecasting models using the advanced forecasting tool
-
Artificial Intelligence for IoT Cookbook. Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities
-
Snowflake Cookbook. Techniques for building modern cloud data warehousing solutions
-
Web Development with Django. Learn to build modern web applications with a Python-based framework
-
Practical Discrete Mathematics. Discover math principles that fuel algorithms for computer science and machine learning with Python
-
Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
-
Crafting Test-Driven Software with Python. Write test suites that scale with your applications' needs and complexity using Python and PyTest
-
Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
-
Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
-
Python Data Analysis. Perform data collection, data processing, wrangling, visualization, and model building using Python - Third Edition
-
Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
-
Getting Started with Google BERT. Build and train state-of-the-art natural language processing models using BERT
-
TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
-
Clean Code in Python. Develop maintainable and efficient code - Second Edition
-
Mastering Python for Networking and Security. Leverage the scripts and libraries of Python version 3.7 and beyond to overcome networking and security issues - Second Edition
-
Hands-On Image Generation with TensorFlow. A practical guide to generating images and videos using deep learning
-
Odoo 14 Development Cookbook. Rapidly build, customize, and manage secure and efficient business apps using Odoo's latest features - Fourth Edition
-
Mastering Reinforcement Learning with Python. Build next-generation, self-learning models using reinforcement learning techniques and best practices
-
Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
-
Applied Computational Thinking with Python. Design algorithmic solutions for complex and challenging real-world problems
-
Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
-
Modern Computer Vision with PyTorch. Explore deep learning concepts and implement over 50 real-world image applications
-
Node Cookbook. Discover solutions, techniques, and best practices for server-side web development with Node.js 14 - Fourth Edition
-
Robotic Process Automation with Automation Anywhere. Techniques to fuel business productivity and intelligent automation using RPA
-
Quantum Computing in Practice with Qiskit(R) and IBM Quantum Experience(R). Practical recipes for quantum computer coding at the gate and algorithm level with Python
-
Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
-
Practical Python Programming for IoT. Build advanced IoT projects using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3
-
Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
-
Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process