Clean Code in Python: Refactor your legacy code base
Original price was: $48.99.$42.91Current price is: $42.91.
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Getting the most out of Python to improve your codebase
Key Features
Save maintenance costs by learning to fix your legacy codebaseLearn the principles and techniques of refactoringApply microservices to your legacy systems by implementing practical techniques
Book Description
Python is currently used in many different areas such as software construction, systems administration, and data processing.
In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them.
The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform.
By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code.
What you will learn
Set up tools to effectively work in a development environmentExplore how the magic methods of Python can help us write better codeExamine the traits of Python to create advanced object-oriented designUnderstand removal of duplicated code using decorators and descriptorsEffectively refactor code with the help of unit testsLearn to implement the SOLID principles in Python
Publisher : Packt Publishing
Publication date : August 29, 2018
Language : English
Print length : 332 pages
ISBN-10 : 1788835832
ISBN-13 : 978-1788835831
Item Weight : 1.26 pounds
Dimensions : 7.5 x 0.75 x 9.25 inches
Best Sellers Rank: #1,232,867 in Books (See Top 100 in Books) #567 in Enterprise Applications #861 in Computer Programming Languages #890 in Python Programming
Customer Reviews: 4.3 4.3 out of 5 stars (23) var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
3 reviews for Clean Code in Python: Refactor your legacy code base
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Original price was: $48.99.$42.91Current price is: $42.91.
Cornelia Hollaway –
Birthday Present
I was very happy with the product. Thank you ☺️
Ivan and Zorro –
If you are looking to move beyond code cookbooks
With so many Python books out there it’s hard to know which are worthwhile, particularly if you want to move beyond basics. This book is highly recommended for this category of Python programmer. It’s a must read for people working in agile development teams. It is well organized and written, containing material not treated elsewhere, or at least not in a single volume. Writing clean code goes beyond “having good documentation”. At a certain point this good documentation becomes more of a distraction than anything, particularly in Python. Well written Python should be the documentation minimalist’s dream and that is the main idea throughout this book: how to write efficient, properly documented Python code that is easily maintainable, by ourselves and other developers. The authors are not simply talking about code linting or analyzers, it’s more like the Zen of Python. They include examples of moving from some code to better code. The focus is on the readability of code since so many developers spend their time reading scads of code to add a simple feature, but there are also many examples of interesting ways to get things done in Python.
Artur Baruchi –
This book is great to improve OOP skills in Python. It gives you a view about what can be done in Python and good practices to follow when programming in Python. Also, the way the author involve while you are reading the book is very good and the pieces fit together nicely. My concern about the book is the lack of examples, don’t get me wrong, the book has a good level of code, but I think that examples should be more didactic. Some of them, I needed to read and re-read several times to understand and get the idea.Anyway, is a great book and I really recommend it.