Python Perfection:
Books to Master Coding
Recommended by Naomi Ceder
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Since 2001, Naomi Ceder has been learning, teaching, writing about, and using Python. An elected fellow of the Python Software Foundation, Naomi served as chair of its board of directors from 2017 to 2020.
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A great guide to the often confusing world of creating and publishing your own Python packages, including strategies for managing dependencies, testing, documentation, and scaling.
Publishing Python Packages
All of the stuff that a professional needs to know beyond just how to write Python code, from understanding the basics of program design to managing the complexity of large systems.
Practices of the Python Pro
A popular book, it goes through the classic computer science problems using Python. Could just be just the thing if you're prepping for a technical interview.
Classic Computer Science Problems in Python
The best way to get good at something is to practice, and this book offers 50 short Python exercises that range from built-in data structures, to files, functions, classes and objects, and iterators and generators.
Python Workout
Five interesting real world projects to help build your data science skills in areas like clustering, computing and plotting probabilities, NLP, supervised learning, prediction, and more.
Data Science Bookcamp
A good book that teaches Python from the beginning with a fresh, but classroom tested approach.
Get Programming
A thorough introduction of how to use Copilot and ChatGPT to write code safely with minimum frustration. Learn how to read code, understand it, testing, prompt engineering, and how to decompose problems so that the tools can be effective.
Learn AI-Assisted Python Programming
From Manning's Early Access Program (MEAP)
This perennial best seller offers comprehensive insights into Python, enriched with practical tasks, quick-check questions, and labs to solidify your learning. Now updated with coverage of AI!
The Quick Python Book, Fourth Edition
Learn modern strategies to protect APIs against threats like the OWASP Top 10 vulnerabilities. This timely book offers practical examples from real-world applications that teach you to integrate security early in development, contact robust testing and implement observability to detect and respond efficiently.
Secure APIs
Raschka demystifies the construction of LLMs, offering a hands-on, detailed guide for building, finetuning, and applying them. Explore practical steps for data handling and internal architecture design in this expert-led journey of LLMs.
Build a Large Language Model (From Scratch)
NOW Available! in Print!
Boost your data skills with quick, fun and effective Python and pandas exercises! Dive into datasets from New York taxis to Olympic athletes, mastering key features in just ten minutes a pop. Plus, get handy tips for every phase of your data analysis journey.
Pandas Workout
Your comprehensive guide to mastering Python. This book covers everything from basic naming conventions to advanced topics like API design, object usage, internet connectivity, core security practices, and error handling.
The Well-Grounded Python Developer
Manning Early Access Program (MEAP) - you read the book while it's being written. If you pre-order the print book, you'll get it long before it's available in stores.
