Clean Code in Python: Refactor Your Legacy Code Base by Mariano Anaya (Paperback)
☆☆☆☆☆
(0 reviews)
Lowest price (incl. delivery)
16,45 USD
Typical price45,18 PLN
Lowest (90 days)33,16 PLN
Offers2
Last updatedvor 21 Stunden
| Verkäufer | Product price | Delivery | Gesamt | Verfügbarkeit | Updated | |
|---|---|---|---|---|---|---|
| BE BetterWorld.com - New, Used, Rare Books & Textbooks | 16,45 USD | free | 16,45 USD | Verfügbar | vor 21 Stunden | View offer |
| VI VitalSource | 57,19 AUD | free | 57,19 AUD | Verfügbar | vor 2 Wochen | View offer |
Preise und Verfügbarkeit können sich ändern. Zuletzt aktualisiert: 21.08.2026 15:47.
EAN
9781788835831
Mariano Anaya
0,0
☆☆☆☆☆
0 reviews
5★
0%
4★
0%
3★
0%
2★
0%
1★
0%
Product reviews
No reviews yet — be the first!
Getting the most out of Python to improve your codebase Key Features Save maintenance costs by learning to fix your legacy codebase Learn the principles and techniques of refactoring Apply 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 environment Explore how the magic methods of Python can help us write better code Examine the traits of Python to create advanced object-oriented design Understand removal of duplicated code using decorators and descriptors Effectively refactor code with the help of unit tests Learn to implement the SOLID principles in Python
Similar products
Encyclopedia of Psychology: 8-Volume Set8-Volume Set by Alan E. Kazdin (Hardcover)
from $293.46
Produktbild
Petrograd Codex of the Hebrew Bible: The Latter Prophets, Prophetarum Posteriorum by Hermann L. Strack (Hardcover)
from $108.84
Encyclopedia of Mathematics and Society by Sarah J. Greenwald (Hardcover)
from $111.36
Ranger Way by Eugene Cunningham (Paperback)
from $128.50
Gerhard G. Mueller: Father of International Accounting Education by Dale L. Flesher (Hardcover)
from $130.59
Toward Greater Logic and Utility in Accounting: The Collected Writings of Philip W. Bell by Philip W. Bell (Hardcover)
from $244.74
Encyclopedia of Forensic and Legal Medicine by Roger W. Byard (Hardcover)
from $237.15
The Cognitive Foundations of Personality Traits by Shulamith Kreitler (Hardcover)
from $123.64