Expert Python Programming – Fourth Edition: Master Python by learning the best coding practices and advanced programming concepts , Fourth Edition

Tarek Ziadé

Michał Jaworski

Ziadé

€36.99

4.4 (24 Ratings)

Paperback May 2021 630 pages 4th Edition

Tarek Ziadé

Michał Jaworski

Ziadé

€36.99

4.4 (24 Ratings)

Paperback May 2021 630 pages 4th Edition

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Key benefits

Discover the new features of Python, such as dictionary merge, the zoneinfo module, and structural pattern matching
Create manageable code to run in various environments with different sets of dependencies
Implement effective Python data structures and algorithms to write, test, and optimize code

Description

This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. Throughout this book, you’ll get acquainted with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live, including packaging and testing automation. By the end of this book, you will have gained actionable Python programming insights that will help you effectively solve challenging problems.

Who is this book for?

The Python programming book is intended for expert programmers who want to learn Python’s advanced-level concepts and latest features. Anyone who has basic Python skills should be able to follow the content of the book, although it might require some additional effort from less experienced programmers. It should also be a good introduction to Python 3.9 for those who are still a bit behind and continue to use other older versions.

What you will learn

Explore modern ways of setting up repeatable and consistent Python development environments
Effectively package Python code for community and production use
Learn modern syntax elements of Python programming, such as f-strings, enums, and lambda functions
Demystify metaprogramming in Python with metaclasses
Write concurrent code in Python
Extend and integrate Python with code written in C and C++

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Shipping Details

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Economy: Delivery to most addresses in the US within 10-15 business days

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Economy: Delivery to most addresses in the U.K. within 7-9 business days.
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Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

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N Satpall Jun 25, 2021

This book is a great resource for expert programmers who want to learn about Python's advanced-level concepts and features in its newest releases. It focuses so well on tools and practices that are crucial for creating performant, reliable, and maintainable software in Python.It not only shows how Python is constantly changing, but also why it is changing. It showcases recent Python language additions and describes modern ways of setting up repeatable and consistent development environments for Python programmers.The book can also be a good resource for hobbyists who are interested in learning advanced-level concepts with Python, as also for programmers with experience in other languages by explaining how to integrate code written in different languages in their Python application. There are many practical illustrations of design patterns, programming paradigms, and metaprogramming techniques.It covers tools that can be used to assess code quality metrics and improve code style in fully automated way, while showing how to scale simple observability practices to large-scale distributed systems.

Amazon Verified review

Pax Jul 29, 2021

I have 7+ years of professional experience as a programmer and have been coding in Python since 2019. I love the comprehensiveness of this book and I learned so much not only "how to do X" but "why to do X" --- it gave best practices and I'm not just repeating what the book tagline says. For someone with limited experience working in big companies / teams, the book is very insightful.It is also easy to read; I finished this book in ~2 weeks by setting a goal of reading 35 pages/day. (Some days I read more)My only "complaint" is that there were a bit of typos but they weren't super critical. It was very obvious that they are typos and they're not a lot so it's not super distracting and most importantly, you won't be left "confused."

R.Thompson Aug 25, 2021

Written by experts in python programming, learn code optimization, memory profiling, resource allocation and much more.

hawkinflight Jun 22, 2021

The media could not be loaded. I have about two years of experience using Python, and I find this book very helpful in moving forward. The first chapter gets everyone off to a great start by sharing ideas about how to stay up-to-date with Python, as the language inevitably changes, and where to find Python community. All of the chapters are important and contain great information. I particularly like Chapter 4 which compares Python to other languages, and emphasizes that just because you might be able to write code as you would in another language, that is not necessarily the "Python way", nor the best way to do it in Python. The chapter identifies places where programmers might try things they really shouldn't. I have combined C/C++ code with Python, and so, I enjoyed reviewing the chapter which covers this topic. I closely read and enjoyed the chapter on Optimizing Code, one way of course is via choosing the best data structure. This helps the programmer learn not just what data structures are available but provides info on how data structures can impact performance. I have not had to profile code, but I think Chapter 12 would be very useful on that. I am very interested in going further and carefully reading the chapters on Interfaces, Patterns, and Modularity, on Testing and QA, as well as Concurrency, and Meta-programming. There is a lot of great material here.

Stephan Miller Jun 26, 2021

I have written Python code for about 15 years now. Even though many times that hasn't been what I wrote for my day job, it is still my favorite programming language. I didn't think there was much to learn, but then again I started as a Python 2 developer and only switched to Python 3 in the last few years.But this book is great and taught me a bunch of new things. I learned about Poetry, which I never heard of until now, and can't wait to use it on my next project. It also walks you through using Docker for development and explains why you may want to still use Vagrant in some cases even though it is an older technology. It even goes into writing C extensions to give your Python projects a performance boost.You should know some Python before reading this book, as it goes into some concepts in-depth, but I would recommend it to anyone who has been writing Python code for a few months.

Expert Python Programming – Fourth Edition: Master Python by learning the best coding practices and advanced programming concepts , Fourth Edition

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