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.

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.

Mastering Algorithms for Problem Solving in Python

  
 
An **algorithm** is an explicit, precise, unambiguous, mechanically executable sequence of elementary instructions, usually intended to accomplish a specific purpose. For example, here is an algorithm for singing that annoying song “99 Bottles of Beer on the Wall” for arbitrary values of the starting number of beer bottles:

$\underline{Bottles of Beer(n)} \\
\space\space\space\space
For\space i ←n\space down\space to\space 1\\ 
\hspace{1cm}
Sing\space “i\space bottles\space of\space beer\space on\space the\space wall,\space i\space bottles\space of\space beer,”
\\ \hspace{1cm}
Sing\space “Take\space one\space down,\space pass\space it\space around,\space i − 1\space bottles\space of\space beer\space on\space the\space wall.”
\\ \hspace{0.35cm}
Sing\space “No\space bottles\space of\space beer\space on\space the\space wall,\space no\space bottles\space of\space beer,”
\\ \hspace{0.35cm}
Sing\space “Go\space to\space the\space store,\space buy\space some\space more,\space n\space bottles\space of\space beer\space on\space the\space wall.”$
   

Learn about the different characteristics that make an algorithm effective.

Getting Started

Introduction to Algorithm

Recursion

Backtracking

Dynamic Programming

Greedy Algorithms

Prove Your Skills: A Five-Chapter Assessment

Basic Graph Algorithms

Depth-First Search

Minimum Spanning Trees

Shortest Paths

All-Pairs Shortest Paths

Pushing Your Limits: A Comprehensive Assessment

Wrapping up

What is an Algorithm?