Python is a versatile and widely-used programming language, known for its simplicity and ease of use. Whether you are a beginner or an advanced coder, there is a wealth of resources available to help you learn and improve your Python skills. Here are the top 10 Python books for both beginners and advanced coders.

"Python Crash Course" by Eric Matthes - This book is designed specifically for beginners who are new to programming and want to learn Python. It covers the basics of the language, as well as more advanced topics like classes, loops, and data visualization.

"Automate the Boring Stuff with Python" by Al Sweigart - This book is also aimed at beginners, but focuses on using Python to automate repetitive tasks, such as web scraping, data processing, and automating mouse and keyboard input.

"Fluent Python" by Luciano Ramalho - This book is for more advanced coders who want to take their Python skills to the next level. It covers topics such as the inner workings of Python, data structures, functional programming, and object-oriented programming.

"Python for Data Analysis" by Wes McKinney - This book is for coders who want to learn how to use Python for data analysis and manipulation. It covers topics such as data cleaning, data visualization, and working with large datasets.

"Python Machine Learning" by Sebastian Raschka - This book is for coders who want to learn how to use Python for machine learning and artificial intelligence. It covers topics such as supervised and unsupervised learning, deep learning, and natural language processing.

"Foundations of Python Network Programming" by Brandon Rhodes and Dr. M. O. Faruque Sarker - This book is for coders who want to learn how to use Python for network programming. It covers topics such as sockets, protocols, email, and web services.

"Learn Python the Hard Way" by Zed Shaw - This book is for coders who want a more hands-on approach to learning Python. It covers the basics of the language, and includes exercises and projects that help you put your new skills into practice.

"Deep Learning with Python" by Francois Chollet - This book is for coders who want to learn about deep learning and artificial intelligence using Python. It covers topics such as convolutional neural networks, recurrent neural networks, and generative models.

"Data Science from Scratch" by Joel Grus - This book is for coders who want to learn about data science using Python. It covers topics such as probability, statistics, linear algebra, and machine learning.

"Programming Python" by Mark Lutz - This book is for coders of all levels who want a comprehensive guide to Python programming. It covers the basics of the language, as well as more advanced topics such as GUIs, web programming, and system administration.

Conclusion

Whether you are just starting out with Python or are an experienced coder looking to improve your skills, these books are an excellent resource. Each one offers a different perspective and approach, so it is recommended to try several of them to find the one that best fits your learning style and needs. Happy coding!