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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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Documenting your code

I'm a big fan of code that doesn't need documentation. When you program correctly, choose the right names and take care of the details, your code should come out as self-explanatory and documentation should not be needed. Sometimes a comment is very useful though, and so is some documentation. You can find the guidelines for documenting Python in PEP 257 - Docstring conventions (https://www.python.org/dev/peps/pep-0257/), but I'll show you the basics here.

Python is documented with strings, which are aptly called docstrings. Any object can be documented, and you can use either one-line or multiline docstrings. One-liners are very simple. They should not provide another signature for the function, but clearly state its purpose:

# docstrings.py
def square(n):
"""Return the square of a number n. """
return n...
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