Book Image

Python Unlocked

By : Arun Tigeraniya
Book Image

Python Unlocked

By: Arun Tigeraniya

Overview of this book

Python is a versatile programming language that can be used for a wide range of technical tasks—computation, statistics, data analysis, game development, and more. Though Python is easy to learn, it’s range of features means there are many aspects of it that even experienced Python developers don’t know about. Even if you’re confident with the basics, its logic and syntax, by digging deeper you can work much more effectively with Python – and get more from the language. Python Unlocked walks you through the most effective techniques and best practices for high performance Python programming - showing you how to make the most of the Python language. You’ll get to know objects and functions inside and out, and will learn how to use them to your advantage in your programming projects. You will also find out how to work with a range of design patterns including abstract factory, singleton, strategy pattern, all of which will help make programming with Python much more efficient. Finally, as the process of writing a program is never complete without testing it, you will learn to test threaded applications and run parallel tests. If you want the edge when it comes to Python, use this book to unlock the secrets of smarter Python programming.
Table of Contents (15 chapters)
Python Unlocked
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 4. Data Structures and Algorithms

Data structures are the building blocks to solve programming problems. They provide organization for the data, and algorithms provide the logic to carve the perfect solution. Python provides many efficient built-in data structures that can be used effectively. There are other good data-structure implementations in the standard library as well as third-party libraries. Often, the more pressing question is when to use what, or what data-structure is good for the present problem description. To resolve this, we will cover the following topics:

  • Python data structures

  • Python library data structures

  • Third-party data structures

  • Algorithms on scale