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Learning Python

You're reading from   Learning Python Learn to code like a professional with Python - an open source, versatile, and powerful programming language

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Length 442 pages
Edition 1st Edition
Languages
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (14) Chapters Close

Preface 1. Introduction and First Steps – Take a Deep Breath FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

Chapter 3. Iterating and Making Decisions

 

"Insanity: doing the same thing over and over again and expecting different results."

 
 --Albert Einstein

In the previous chapter, we've seen Python built-in data types. Now that you're familiar with data in its many forms and shapes, it's time to start looking at how a program can use it.

According to Wikipedia:

In computer science, control flow (or alternatively, flow of control) refers to the specification of the order in which the individual statements, instructions or function calls of an imperative program are executed or evaluated.

In order to control the flow of a program, we have two main weapons: conditional programming (also known as branching) and looping. We can use them in many different combinations and variations, but in this chapter, instead of going through all possible various forms of those two constructs in a "documentation" fashion, I'd rather give you the basics...

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