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

What is the time complexity of all of the variants of the lattice Algorithm to compute the product of any $m$-digit number with any $n$-digit number?

What is the time complexity of all of the variants of the lattice Algorithm to compute the product of any <math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>m</mi></mrow><annotation encoding="application/x-tex">m</annotation></semantics></math>m-digit number with any <math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>n</mi></mrow><annotation encoding="application/x-tex">n</annotation></semantics></math>n-digit number?

It is way too complex for students to understand.

It does not contain operations that computers can perform.

It is considered an algorithm in the traditional sense because it is a well-defined, step-by-step procedure for solving a specific problem. 

Why is Martin’s algorithm not considered an algorithm?

Why is Martin’s algorithm not considered an algorithm?

Using a combination of pseudocode and structured English.

Using colloquial English and mathematical notation.

What is the recommended way to present an algorithm?

What is the recommended way to present an algorithm?

What is the best and clearest way of presenting an algorithm?

What is the best and clearest way of presenting an algorithm?

How the running time changes as the size of the input grows.

What is important in measuring the running time of an algorithm?

What is important in measuring the running time of an algorithm?

Test your knowledge of the concepts covered in the introduction chapter.

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

Quiz: Introduction to Algorithm