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Key benefits

Extensively updated for Python 3.10 with new chapters on design patterns, scientific programming, machine learning, and interactive Python

Shape your scripts using key concepts like concurrency, performance optimization, asyncio, and multiprocessing

Learn how advanced Python features fit together to produce maintainable code

Description

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges

Who is this book for?

This book will benefit more experienced Python programmers who wish to upskill, serving as a reference for best practices and some of the more intricate Python techniques. Even if you have been using Python for years, chances are that you haven’t yet encountered every topic discussed in this book. A good understanding of Python programming is necessary

What you will learn

Write beautiful Pythonic code and avoid common Python coding mistakes

Apply the power of decorators, generators, coroutines, and metaclasses

Use different testing systems like pytest, unittest, and doctest

Track and optimize application performance for both memory and CPU usage

Debug your applications with PDB, Werkzeug, and faulthandler

Improve your performance through asyncio, multiprocessing, and distributed computing

Explore popular libraries like Dask, NumPy, SciPy, pandas, TensorFlow, and scikit-learn

Extend Python's capabilities with C/C++ libraries and system calls

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Si Dunn Jul 30, 2022

I had never used virtual environments for Python projects, so this book's first chapter gave me a headache trying to figure out which of several approaches to take and what might be the best way to manage and track dependencies. It was a case of being shown too much too soon for someone who was expecting an easier, calmer entrance into intermediate and higher-level Python. However, once I got past that intimidating first chapter, I quickly started finding many topics and code examples that are helping me improve my capabilities. (Actually, Chapter 1 also helped me, even if it did give me a headache. I settled on Anaconda and was able to set up virtual environments that are working as described.)I now rate this book as a solid "keeper" for my library and definitely recommend it to others who want to up their Python game. The writing is clear, and the mostly short code examples adequately and clearly illustrate the author's points. The examples also can be good starting points for trying out your own variations and seeing what works or what blows up."Mastering Python Second Edition" is hefty, spanning some 680 pages. But that makes room even for some focus on obscure but useful functions such as *compress*, which "applies a Boolean filter to your iterable, making it return only the elements you actually need." The author's explanations of list, dict, set, and generator comprehensions have proved enlightening for me, and--grabbing at another random example--so has using *mpmath* for "convenient, precise calculations" involving trigonometry, calculus, matrices, and other operators. (My math skills are far from the best, so good help is always needed!) And, while doing some tests, it's good to know that "when measuring the execution time of a code snippet, there will always be some variation present."It will take me a while to work my way through all of the chapters and topics--and the numerous "try to" exercises (with answers posted on GitHub). Nonetheless, "Mastering Python" already has introduced me to a wide array of packages, tools, and topics that are helping me raise my capabilities, including functional programming style, testing, debugging, and working with scientific Python and plotting. My thanks to Packt Publishing for sending me a review copy to consider. This is a solid and comprehensive guide to producing better, more effective code using Python's wide-ranging capabilities, libraries, and tools.

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Fed Mar 01, 2024

I know python at a decent level but I’m always looking for more books to pick up new ideas and ways of coding. Good book for my needs. Probably not the friendliest book for a total beginner.

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Madhu Bhargav Oct 27, 2022

The book takes a very comprehensive approach in discussing about various topics in a structured way. It is more targeted towards someone who already nailed down the basics and want to learn and use python in an actual project. The introduction to Environment and Interpertetters was very well put together.The overall structure of the book caught me off guard though. I wish there was more emphasis on unit testing, packaging and C++ extensions earlier in the book before dealing with AI and ML. This my personal take as a Django Developer.In the debugging chapter, I wish the author talks about ipdb in depth instead of just a couple of pages. Nevertheless the number of topics covered in the book from Unit Testing to Tensorflow was really good for a intermediate level book.

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Ninad Jul 24, 2022

Content is designed well to aid the learning of new as well as experienced developer.Each concept is explained in detailed manner.Good amount coding examples.

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Anvesh Chinta Jun 30, 2022

Pretty much covers everything you need to know about python, right from the basics. You can learn basic python from watching some YouTube videos or some blogs, but after that you struggle with What's next?. This book lays out all the paths that we can take after learning python and the best part of the book is it also mentions the pitfalls that we may encounter. I feel that's important. If you are that average learner who learnt python and curious about what's next this is the go to book.The only drawback is abundance of information. For the one who is really interested and have a path clear in mind it will be easy, otherwise it can be little overwhelming.

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Mastering Python 2E: Write powerful and efficient code using the full range of Python's capabilities , Second Edition

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