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Learn Python Programming

Learn Python Programming

By : Fabrizio Romano
4.1 (28)
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Learn Python Programming

Learn Python Programming

4.1 (28)
By: Fabrizio Romano

Overview of this book

Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines. Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned.
Table of Contents (16 chapters)
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Scopes and name resolution

Do you remember when we talked about scopes and namespaces in Chapter 1, A Gentle Introduction to Python? We're going to expand on that concept now. Finally, we can talk about functions and this will make everything easier to understand. Let's start with a very simple example:

# scoping.level.1.py
def my_function():
test = 1 # this is defined in the local scope of the function
print('my_function:', test)

test = 0 # this is defined in the global scope
my_function()
print('global:', test)

I have defined the test name in two different places in the previous example. It is actually in two different scopes. One is the global scope (test = 0), and the other is the local scope of the my_function function (test = 1). If you execute the code, you'll see this:

$ python scoping.level.1.py
my_function: 1
global: 0

It's clear...

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