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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (20) Chapters Close

Preface A Gentle Introduction to Python Built-In Data Types FREE CHAPTER Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Other Books You May Enjoy
Index

Programming Challenges

”Beware of bugs in the above code; I have only proved it correct, not tried it.”

– Donald Knuth

In this chapter, we are going to deviate from professional programming and discuss the world of competitive programming and programming challenges.

Programming challenges are problems that can be solved with a relatively short program. There are several websites that offer great collections of challenges. Most of them categorize challenges based on difficulty and other factors, such as:

  • The type of algorithm needed to solve the challenges.
  • The type of abstract data structures the challenges are about, like trees, linked lists, n-dimensional vectors, and so on.
  • The type of concrete data structures the challenges are about. For example, for Python, they could be lists, tuples, dictionaries, and so on.
  • The type of approach needed to solve the challenges, such as dynamic programming, recursion...
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