We'll start by reviewing map, filter, and zip, which are the main built-in functions one can employ when handling collections, and then we'll learn how to achieve the same results using two very important constructs: comprehensions and generators. Fasten your seatbelt!

Learn Python Programming
By :

Learn Python Programming
By:
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)
Preface
A Gentle Introduction to Python
Built-in Data Types
Iterating and Making Decisions
Functions, the Building Blocks of Code
Saving Time and Memory
OOP, Decorators, and Iterators
Files and Data Persistence
Testing, Profiling, and Dealing with Exceptions
Cryptography and Tokens
Concurrent Execution
Debugging and Troubleshooting
GUIs and Scripts
Data Science
Web Development
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