Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Expert Python Programming – Fourth Edition
  • Table Of Contents Toc
Expert Python Programming – Fourth Edition

Expert Python Programming – Fourth Edition - Fourth Edition

By : Michał Jaworski, Tarek Ziade, Ziadé
4.4 (24)
close
close
Expert Python Programming – Fourth Edition

Expert Python Programming – Fourth Edition

4.4 (24)
By: Michał Jaworski, Tarek Ziade, Ziadé

Overview of this book

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.
Table of Contents (16 chapters)
close
close
14
Other Books You May Enjoy
15
Index

What is concurrency?

Concurrency is often confused with actual methods of implementing it. Some programmers also think that it is a synonym for parallel processing. This is the reason why we need to start by properly defining concurrency. Only then will we be able to properly understand various concurrency models and their key differences.

First and foremost, concurrency is not the same as parallelism. Concurrency is also not a matter of application implementation. Concurrency is a property of a program, algorithm, or problem, whereas parallelism is just one of the possible approaches to problems that are concurrent.

In Leslie Lamport's 1976 paper Time, Clocks, and the Ordering of Events in Distributed Systems, he defines the concept of concurrency as follows:

"Two events are concurrent if neither can causally affect the other."

By extrapolating events to programs, algorithms, or problems, we can say that something is concurrent if it can be fully or...

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Expert Python Programming – Fourth Edition
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon