Python Searching & Sorting Algorithms - A Practical Approach

Implement searching and sorting Algorithms in Python and learn how they work through engaging animations and projects.

What you'll learn

How to Implement Searching and Sorting Algorithms in Python.
Visualize how they work behind the scenes as the code runs.
Compare the efficiency of these algorithms using Big O Notation.
Relate each line of code with its main purpose in the algorithm.
Learn the best case, the average case, and the worst case of each algorithm.
Explain how these algorithms work and apply them to new scenarios.

Requirements

You will need to have Python 3 installed in your device.
Basic Python Knowledge such as data types, variables, loops, conditionals, and functions.
The Quick Refresher section offers a quick introduction to lists, tuples, and algorithmic time complexity.
Basic Knowledge of Recursion - This is required for certain algorithms, so I provide links to helpful resources in case you need to refresh your knowledge.

Description

Learn how to implement Searching and Sorting algorithms in Python. Understand how they work behind the scenes through a detailed visual and practical approach. Be able to relate each line of code to the actual inner workings of the algorithms as they run.

Enter the World of Computer Science and Algorithms with the Right Skills.

Learn how to implement these algorithms in Python.
Be able to explain how they work behind the scenes.
Learn how to compare them based on their efficiency.
Be able to apply them to new scenarios.

Add New Skills To Your Algorithmic Toolbox

Basic knowledge of algorithms is vital for every developer. Searching and Sorting algorithms is a key topic commonly asked during technical interviews. Be one step ahead of your competition by learning these skills with this on-demand course. Python is the most popular and approachable programming language and its popularity continues to rise year-over-year.

Having a firm grasp of Searching and Sorting algorithms will not only help you during your job search, it will also enhance your computational thinking skills. Be able to dive into more advanced algorithms with the solid foundation that this course provides. With detailed and didactic slides, animations, explanations, and exercises, you will dive into the world of algorithms through an engaging and practical learning experience.

Content & Overview

With high quality video lectures that include graphics and animations, you will learn the following algorithms:

Linear Search
Binary Search
Bubble Sort
Selection Sort
Insertion Sort
Merge Sort
Quicksort

You will also learn how to use the timeit module to time the execution of small code snippets.

Learning Material & Practice:

High-Quality Video Lectures - Carefully designed graphics and animations.
Coding Exercises with detailed solutions - Execute and test your code directly in the browser.
Mini Projects with detailed solutions - Dive deeper into each algorithm by completing a mini project per section.
Quizzes - Test your knowledge and receive instant feedback.
Code with Print Statements - See how the algorithms work behind the scenes as the code runs.
PDF Handouts - Each section has a PDF handout with a graphical and detailed summary of the algorithm.
PDF Slides - You can download the PDF slides displayed in the videos.
Articles - Detailed descriptions of key aspects of the topics to complement your knowledge.

Who this course is for:

New programmers who have learned the basics of Python.
Developers who wish to expand their algorithmic toolbox.
Self-taught developers and Computer Science Students.
Programmers who need to refresh their knowledge.
Developers who are preparing for an interview.