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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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Amazon verified reviews

Mathias Hounsa Jul 28, 2022

It’s a great read, just exceeds my current level

Amazon Verified review

Amazon Customer May 22, 2022

Disclaimer: I received a copy for free for an unbiased reviewAs a game developer that uses Python occasionally for side tasks (e.g. automation, tools), this book definitely helps reinforce my knowledge of the language. It covers practical advanced topics such as design patterns, unit testing and performance, which lesser covered in other books for beginners. It also suggests and demonstrates useful modules on relevant topics. I fully recommend this book to people who want to have a deeper understanding of Python.

Sanjay Jun 27, 2022

Very neat explanation of each topic. Enjoyed reading this book.

Ryan Zurrin Jun 27, 2022

This book is for EVERYONE who wishes to learn the best ways to use python. It starts you off with the basics of environment setup, stressing how we use a different environment for each projects which makes it possible to use several different versions of the same library without any clashes. A must for anyone programming in python.It then goes over how to manage dependencies properly, which python does wonderfully with the different package managers it uses. It gets into pythonic syntax and how it differs from other languages. It really does a great job at showing through example after example of how to properly write good python code. It also covers many of the common pitfalls that many new and even experienced python programmers face and shows you how to not fall into these traps.It gets into many design patterns, talks about functional programming, brings us through how to use features such as decorators to make our code super charged with some of the best aspects of the python language. I mean this book really covers it all, getting into things like python generators, which is one of my favorite features of using python, as it really helps you to write clean and efficient code when used properly.In addition to all this it goes into topics like testing, debugging, and performance optimizations, as well as how to properly document using some amazing tools like Sphinx. As well each section finishes with some exercises to help you solidify what you have learned. I did many of these and found the exercises to be great at reinforcing everything I was learning. All the examples of the code throughout the book are available on GitHub as well, which makes it easy to follow along and try the examples out without having to retype everything from scratch.All in all this is a great book and I recommend it for anyone who is going to be using python. I am sure regardless of how much experience you already have or how little you have, there is something in this book for you.

Andre Sep 03, 2022

My view of the book achieves what it indicates it would as it takes you on a well-designed path to enhance your python knowledge. Excellent development and learning path spread over 18 chapters help you to master your python skills. It will take a permanent place on my shelf as a reference guide.The knowledge and code examples are well thought out and give you a great base and test of the book's knowledge.It is not a beginner's book. This book is a next-phase mastering phase of development.

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

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