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  • Book Overview & Buying Learning Python
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Learning Python

Learning Python

By : Fabrizio Romano
4.1 (21)
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Learning Python

Learning Python

4.1 (21)
By: Fabrizio Romano

Overview of this book

Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned.
Table of Contents (14 chapters)
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13
Index

Test-driven development


Let's talk briefly about test-driven development or TDD. It is a methodology that was rediscovered by Kent Beck, who wrote Test Driven Development by Example, Addison Wesley – 2002, which I encourage you to check out if you want to learn about the fundamentals of this subject, which I'm quite obsessed with.

TDD is a software development methodology that is based on the continuous repetition of a very short development cycle.

At first, the developer writes a test, and makes it run. The test is supposed to check a feature that is not yet part of the code. Maybe is a new feature to be added, or something to be removed or amended. Running the test will make it fail and, because of this, this phase is called Red.

When the test has failed, the developer writes the minimal amount of code to make it pass. When running the test succeeds, we have the so-called Green phase. In this phase, it is okay to write code that cheats, just to make the test pass (that's why you would then...

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Learning Python
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