Mastering Algorithms for Problem Solving in Python

INTERACTIVE COURSE

Mastering Algorithms for Problem Solving in Python

Intermediate

96 Lessons

28h

Certificate of Completion

AI Explanations

AI Explanations

Mastering Algorithms for Problem Solving in Python

2 Assessments

108 Playgrounds

10 Quizzes

208 Illustrations

Takeaway Skills

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

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

Course Content

1

Getting Started

Introduction to the Course

2

Introduction to Algorithm

What is an Algorithm?Multiplication Algorithms Congressional Apportionment Describing Algorithms Analyzing Algorithms Quiz: Introduction to Algorithm

3

Recursion

Reduction Simplify and Delegate Tower of Hanoi Merge-sort Quick-sort The Pattern Recursion Trees Linear-Time Selection Fast Multiplication Exponentiation Challenge: Recursion Solution: Recursion Quiz: Recursion

4

Backtracking

N Queens Game Trees Subset Sum The General Pattern Text Segmentation (Interpunctio Verborum)Longest Increasing Subsequence—Alternate Algorithm Optimal Binary Search Trees Challenge: Backtracking Solution: Backtracking Quiz: Backtracking

5

Dynamic Programming

Fibonacci Numbers—Recursive Approach Fibonacci Numbers—Iterative Approach Text Segmentation Longest Increasing Subsequence Edit Distance Subset Sum—Dynamic Programming Optimal Binary Search Trees–Dynamic Programming Dynamic Programming on Trees Challenge: Dynamic Programming Solution: Dynamic Programming Quiz: Dynamic Programming

6

Greedy Algorithms

7 Lessons

Prove Your Skills: A Five-Chapter Assessment

Assessment

7

Basic Graph Algorithms

9 Lessons

8

Depth-First Search

11 Lessons

9

Minimum Spanning Trees

8 Lessons

10

Shortest Paths

10 Lessons

11

All-Pairs Shortest Paths

9 Lessons

Pushing Your Limits: A Comprehensive Assessment

Assessment

12

Wrapping up

1 Lesson

COURSE AUTHOR

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