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Mastering Algorithms for Problem Solving in Python

Gain insights into algorithms and their implementation for problem-solving in Python. Learn about recursion, dynamic programming, greedy algorithms, and graph algorithms to enhance coding proficiency and problem-solving skills.

Intermediate

96 Lessons

28h

Certificate of Completion

Gain insights into algorithms and their implementation for problem-solving in Python. Learn about recursion, dynamic programming, greedy algorithms, and graph algorithms to enhance coding proficiency and problem-solving skills.
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This course includes

2 Assessments
108 Playgrounds
10 Quizzes
Learn in a different language:
C++
Java
Python
Course Overview
What You'll Learn
Course Content
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Course Overview

As a developer, mastering the concepts of algorithms and being proficient in implementing them is essential to improving problem-solving skills. This course aims to equip you with an in-depth understanding of algorithms and how they can be utilized for problem-solving in Python. Starting with the basics, you'll gain a foundational understanding of what algorithms are, with topics ranging from simple multiplication algorithms to analyzing algorithms. Then, you’ll delve into more advanced topics like recursi...Show More
As a developer, mastering the concepts of algorithms and being proficient in implementing them is essential to improving problem-solving skills. This course aims to equip you with an in-depth understanding of algorithms and how they can be utilized for pro...Show More

What You'll Learn

A comprehensive understanding of algorithms and their applications in problem solving
Proficiency in implementing recursion and backtracking in Python for complex tasks
An understanding of the concept of memoization and dynamic programming
Ability to apply memoization and dynamic programming for efficient computation in Python
Hands-on experience solving algorithmic challenges in Python
A comprehensive understanding of algorithms and their applications in problem solving

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Course Content

1.

Getting Started

1 Lessons

Get familiar with essential algorithms and optimize processes with practical examples in Python.

2.

Introduction to Algorithm

6 Lessons

Look at algorithms' historical roots, design principles, applications, and analysis for problem-solving.

6.

Greedy Algorithms

7 Lessons

See how it works to optimize with greedy algorithms for file storage, class scheduling, Huffman codes, stable matching, and book shelving.

14.

Wrapping up

1 Lessons

Take a look at mastering algorithms' efficiency in problem-solving and their practical applications.

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