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Expert Python Programming – Fourth Edition
Expert Python Programming – Fourth Edition

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

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Profile Icon Tarek Ziadé Profile Icon Michał Jaworski Profile Icon Ziadé
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (24 Ratings)
Paperback May 2021 630 pages 4th Edition
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Profile Icon Tarek Ziadé Profile Icon Michał Jaworski Profile Icon Ziadé
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Can$61.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (24 Ratings)
Paperback May 2021 630 pages 4th Edition
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Expert Python Programming – Fourth Edition

Current Status of Python

Python is amazing. It is amazing because it has managed to stay relevant and keep growing for so many years.

For a very long time, one of the most important virtues of Python was interoperability. Thanks to that feature it didn't matter what operating system you or your customers were using. If the Python interpreter was available for a given operating system, your software written in Python would work there. And, most importantly, your software would always work the same way regardless of that operating system. However, this is now a common trait. Many modern programming languages provide similar interoperability capabilities. Also, with the advent of cloud computing, web-based applications, and reliable virtualization software, it isn't that important to have a programming language that works in many operating systems.

What seems to be increasingly more important for programmers nowadays is productivity. With a constant search for...

Where are we now and where are we going?

Python isn't a young language. Its history starts somewhere in the late 1980s and the official 1.0 release happened in year 1994. We could discuss the whole timeline of major Python releases mentioned here, but we really only need to be concerned about a few dates:

  • October 16, 2000: official release of Python 2.0
  • December 3, 2008: official release of Python 3.0
  • November 9, 2011: announcement of Python 2.8 release un-schedule
  • January 1, 2020: official sunsetting of Python 2

So, at the time of writing, Python 3 is almost half as old as Python itself. It has also been active for longer than Python 2 was when it comes to active development of new language features.

Although Python 3 has been around for quite some time, its adoption was so slow that the initial end of life for Python 2 was postponed by 5 years. It was mostly due to a lot of backward compatibility issues that didn't always allow...

What to do with Python 2

We know that Python 2 is no longer officially supported by language developers. Due to the lack of security patches, it should be considered unsafe. But is it dead yet?

Probably not. Even relatively popular open-source libraries can lose the interest of their authors and contributors over time. It also happens that some better alternatives appear, and there's simply no point in developing the original library anymore. Such libraries are often left unmaintained, so no one could update them for compatibility with Python 3.

One of the important reasons why Python 3 couldn't take off for a long time was the sluggish release processes of many Linux distributions. Distribution maintainers often aren't inclined toward the fast adoption of new language versions, especially if these versions break backward compatibility and require patches of other software. Many Python programmers are Linux users, and if they don't have access to the latest...

Keeping up to date

Technology evolves constantly. People are constantly looking for tools that will allow them to solve their problems more easily than before. Every few months, either a completely new language pops up almost out of nowhere, or one of the well-established languages introduces a completely new syntax feature. This also happens to Python. We will briefly consider a few of the most important recent additions to the Python language in Chapter 3, New Things in Python.

New languages or language features drive the creation of novel libraries and frameworks. These in turn open the way for new programming paradigms and new design patterns. The success of one such pattern or paradigm in one language ecosystem often encourages programmers to adopt them in other languages. That's how new ideas spread from language to language.

We see that happening to Python too. We will be able to see how seemingly different programming languages share similar features or...

Summary

In this chapter, we've discussed the current status of Python and the process of change that is visible throughout the history of that language. We've learned why Python is changing and why it is important to follow that change.

Staying relevant is one of the biggest and most stressful challenges that professional programmers face regardless of the programming language they choose. Due to over 30 years of Python history and the ever-growing Python community, it isn't always clear how to efficiently stay up to date with the changes in the Python ecosystem. That's why we've looked into all the places where you can follow important discussions about Python's future.

What also changes together with the language are development tools that aim to ease and improve the software development processes. In the next chapter, we will continue with the topic of change and take a look at modern development environments. We will learn how to create repeatable...

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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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Length: 630 pages
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Language : English
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Table of Contents

15 Chapters
Current Status of Python Chevron down icon Chevron up icon
Modern Python Development Environments Chevron down icon Chevron up icon
New Things in Python Chevron down icon Chevron up icon
Python in Comparison with Other Languages Chevron down icon Chevron up icon
Interfaces, Patterns, and Modularity Chevron down icon Chevron up icon
Concurrency Chevron down icon Chevron up icon
Event-Driven Programming Chevron down icon Chevron up icon
Elements of Metaprogramming Chevron down icon Chevron up icon
Bridging Python with C and C++ Chevron down icon Chevron up icon
Testing and Quality Automation Chevron down icon Chevron up icon
Packaging and Distributing Python Code Chevron down icon Chevron up icon
Observing Application Behavior and Performance Chevron down icon Chevron up icon
Code Optimization Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(24 Ratings)
5 star 79.2%
4 star 8.3%
3 star 0%
2 star 0%
1 star 12.5%
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N Satpall Jun 25, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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 Amazon
Pax Jul 29, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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."
Amazon Verified review Amazon
R.Thompson Aug 25, 2021
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Written by experts in python programming, learn code optimization, memory profiling, resource allocation and much more.
Amazon Verified review Amazon
hawkinflight Jun 22, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
Stephan Miller Jun 26, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
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