"Fluent Python" by Luciano Ramalho: This book is a comprehensive guide to Python, aimed at experienced programmers who want to learn more about the language. It covers a wide range of topics, from data structures and algorithms to concurrency and metaprogramming. The book is written in a clear and concise style, making it easy to understand even for those with limited programming experience.
"Python for Data Analysis" by Wes McKinney: This book is an introduction to data analysis with Python. It covers topics such as data preparation, data cleaning, data transformation, and data visualization. The book is aimed at data scientists, analysts, and researchers who want to use Python for their work.
"Python Machine Learning" by Sebastian Raschka: This book is a comprehensive guide to machine learning with Python. It covers a range of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. The book is written in a clear and accessible style and is suitable for both beginner and advanced machine learning practitioners.
"Django for Beginners" by William S. Vincent: This book is an introduction to the Django web framework, aimed at beginners who are new to web development. It covers the basics of Django, including views, templates, models, and the Django admin interface. The book is written in a clear and concise style and includes plenty of examples and exercises to help you get started with Django.
"Two Scoops of Django: Best Practices for Django 1.11" by Daniel and Audrey Roy Greenfeld: This book is a comprehensive guide to best practices for Django development. It covers topics such as deployment, security, testing, and performance optimization. The book is aimed at experienced Django developers who want to improve their skills and is written in a clear and accessible style.
"Learning Python, 5th Edition" by Mark Lutz: This book is a comprehensive guide to the Python programming language, aimed at beginner and intermediate-level programmers. It covers a wide range of topics, including data structures, functions, modules, and exceptions. The book is written in a clear and concise style, and includes plenty of examples and exercises to help you practice your Python skills.
"Automate the Boring Stuff with Python" by Al Sweigart: This book is a beginner-friendly guide to using Python for automating repetitive tasks. It covers topics such as web scraping, data processing, and file management. The book is written in a clear and accessible style, and is suitable for anyone who wants to get started with Python programming.
"Django RESTful Web Services" by Gaston C. Hillar: This book is a comprehensive guide to building RESTful web services with Django. It covers topics such as Django views, serializers, authentication, and testing. The book is aimed at experienced Django developers who want to learn how to build RESTful APIs, and is written in a clear and accessible style.
"Python Cookbook, 3rd Edition" by David Beazley and Brian K. Jones: This book is a collection of recipes for Python programming, covering a wide range of topics such as data structures, algorithms, and metaprogramming. The book is aimed at intermediate and advanced level Python programmers who want to learn more about the language.
"Django for APIs: Build web APIs with Python & Django" by William S. Vincent: This book is a comprehensive guide to building web APIs with Django. It covers topics such as views, serializers, authentication, and testing. The book is aimed at experienced Django developers who want to learn how to build robust and scalable APIs, and is written in a clear and accessible style.
To summarize, these books cover a range of topics in Python and Django programming, from beginner-friendly introductions to more advanced topics like data analysis, machine learning, and web APIs. Whether you're new to programming or an experienced developer, these books can help you improve your skills and expand your knowledge of these powerful technologies.