This is the code repository for Advanced Data Structures and Algorithms in Python [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
As a developer, you’ll have certainly heard about various data structures and algorithms. However, have you ever thought profoundly about them and their impact on the performance of your applications? If not, it’s high time to take a look at this topic, and this course is a one-stop guide to master it! This course will teach you the necessary theory and applications to properly understand the advanced algorithms and data structures that are critical to various problems and how to implement them. We’ll also go hands-on and reveal tips and tricks for optimizations, identifying the right approaches and presenting convincing explanations. And, you will get it all in a modern, popular, and well-documented language: Python. Finally, you’ll learn how to develop complex algorithms that are easy to understand, debug, and reusable in various applications. By the end of the course, you’ll know how to develop complex algorithms that are easy to understand, debug, and reusable in various applications.
- Improve your problem-solving skills by learning how to approach some out-of-the-box problems
- Develop new algorithms and solutions to problems by combining other algorithms in creative ways
- Write clean implementations that significantly improve an algorithm’s runtime by taking advantage of various tips and tricks
- Avoid certain misconceptions circulating online by discovering how they (probably) got started and learning how to avoid falling for similar ones in the future
- Find out why algorithms are not scary things professors and interviewers use to frighten people
For successful completion of this course, students will require the computer systems with at least the following:
• OS: Windows 10
• Browser: Google Chrome, Firefox or Edge
For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration:
• Processor: 4.6 GHz or faster
• Memory: 4 GB or greater
• Storage: 100MB