Top 10 Python Algorithms

Python coding test,
Study smartly with frequently appearing examples! 😎
(This lecture covers only the 10 essential problems out of 20 problems on the web service!)

Check out the Q&A! ✍️

#CodingTest #AlgorithmProblemSolving #Python
Top 10 Python Algorithms

Application -> Documents -> Coding -> Interview -> …

Many companies include algorithmic coding tests in their hiring process. Want to learn more about coding test techniques beyond basic Python grammar? Here's a breakdown of the most common coding test types, including permutations, combinations, regular expressions, sorting, matrices, depth-first search, and breadth-first search!

I recommend this to these people 🙋

Those preparing for a coding test for employment or job change

Anyone who wants to solve various types of algorithm problems

Anyone who wants to gain confidence in solving algorithmic problems

Lecture Features ✨

• We provide a site where you can solve problems.
• Covers frequently asked types of algorithmic problems.
• We provide a PDF of the 20 best published algorithms for you to print and review.
• Practice Problems: We provide a service that allows you to solve more problems.
  • The service can use two languages: Python and JavaScript.
  • The course will be taught solely in Python.
• Learning Materials: We provide a GitHub repository containing the code used in the lecture.

What you'll learn 📚

Section 0. Introduction to Lectures and Services

1. Lecture Introduction
2. Service Introduction

Section 1. Top 10 Algorithms

1. 1. Credentials (Requirements Implementation)
2. 2. Ciphertext (regular expression)
3. 3. Selection of participants (sorting)
4. 4. Dream Design (Regular Expressions)
5. 5. Finding the upper limit of carrots (matrix)
6. 6. Sandwich packaging (stack, queue)
7. 7. Finding the sum of two numbers (two pointers, sliding window)
8. Number 12. Eat a lot of mala-tang (permutation, exhaustive search)
9. 13. Boarding a Plane (Hip, Permutation, and Combination)
10. Number 14. (Dream 1) Ready to Set Sail! (DFS/BFS)

Section 3. Jeckobae Portfolio Template

1. Coding practice room
2. Jacobe Portfolio Template
3. Jacob Challenge
4. Jacob Challenge (Developer Version)

Things to note before taking the course 📢

Practice environment

• Tools used: Google Colab
• Web service: pyalgo.co.kr

Learning Materials

• You can download and review the problems using Ridibooks and Notion. If possible, print them out and review them along with the coding worksheet attached to the lecture.
  • Ridibooks
  • Notion
• Solution Service: Python 20 , JavaScript 20
  • You can solve more problems on our services page.
• The problem-solving code is available in the GitHub Repository.

Introducing the Knowledge Sharer ✒️