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.
Pick a Language
Pick a Language
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
Show more
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.
3.
Recursion
13 Lessons
Examine techniques and algorithms for leveraging recursion in problem-solving and optimization.
4.
Backtracking
10 Lessons
Break down complex ideas in backtracking algorithms for problems like N Queens, game trees, subset sum, and text segmentation.
5.
Dynamic Programming
11 Lessons
Take a closer look at dynamic programming techniques to solve complex problems efficiently in Python.
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.
7.
Basic Graph Algorithms
9 Lessons
Piece together the parts of basic graph algorithms, representations, search methods, and complex challenges.
8.
Depth-First Search
11 Lessons
Sharpen your skills in depth-first search (DFS) and its advanced applications in graphs.
9.
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.
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
Trusted by 2.8 million developers working at companies
"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"
Anthony Walker
@_webarchitect_
"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"
Evan Dunbar
ML Engineer
"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."
Software Developer
Carlos Matias La Borde
"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"
Souvik Kundu
Front-end Developer
"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."
Vinay Krishnaiah
Software Developer
Hands-on Learning Powered by AI
See how Educative uses AI to make your learning more immersive than ever before.
AI Prompt
Code Feedback
Explain with AI
AI Code Mentor
Free Resources
