HomeCoursesMastering Algorithms for Problem Solving in Python

5.0

Intermediate

28h

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.

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Overview

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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 recursion, backtracking, dynamic programming, and greedy algorithms. You'll also learn about basic graph algorithms, depth-first search, shortest paths, minimum spanning trees, and all-pairs shortest paths. By the end of this course, you'll have acquired a wide range of skills that will significantly enhance your ability to solve problems efficiently in Python. Through this course, not only will you improve your coding skills, but you will also gain confidence in tackling complex problems.

As a developer, mastering the concepts of algorithms and being proficient in implementing them is essential to improving problem...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

Content

96 Lessons10 Quizzes2 Assessments

Getting Started

1 Lessons

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

Introduction to the Course

Introduction to Algorithm

6 Lessons

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

What is an Algorithm?

Multiplication Algorithms

Congressional Apportionment

Describing Algorithms

Analyzing Algorithms

Quiz: Introduction to Algorithm

Recursion

13 Lessons

Examine techniques and algorithms for leveraging recursion in problem-solving and optimization.

Backtracking

10 Lessons

Break down complex ideas in backtracking algorithms for problems like N Queens, game trees, subset sum, and text segmentation.

Dynamic Programming

11 Lessons

Take a closer look at dynamic programming techniques to solve complex problems efficiently in Python.

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.

Prove Your Skills: A Five-Chapter Assessment

Assessment

Basic Graph Algorithms

9 Lessons

Piece together the parts of basic graph algorithms, representations, search methods, and complex challenges.

Depth-First Search

11 Lessons

Sharpen your skills in depth-first search (DFS) and its advanced applications in graphs.

Minimum Spanning Trees

8 Lessons

Solve challenges with improving minimum spanning trees' algorithms and updating strategies.

10.

Shortest Paths

10 Lessons

Examine various algorithms for finding shortest paths in weighted graphs, addressing challenges and solutions.

11.

All-Pairs Shortest Paths

9 Lessons

Grasp the fundamentals of shortest paths algorithms and their optimization techniques in graphs.

Pushing Your Limits: A Comprehensive Assessment

Assessment

12.

Wrapping up

1 Lessons

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

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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