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Introduction to Python Algorithms: Learn various algorithm theories and problem-solving methods

Many Python learners understand basic syntax but struggle because they lack the algorithmic thinking and implementation skills needed to solve real-world problems. In this course, you will learn by directly implementing 12 core algorithms frequently used in development and data processing using Python. We have structured the course to go beyond simple theoretical explanations, allowing you to gain a deep understanding of how algorithms work through actual coding and debugging processes. The course provides step-by-step explanations of algorithms that frequently appear in practical work and problem-solving—such as sum, average, max/min, sorting, searching, merging, and mode—and guides you through implementing them in Python code. If you are a learner aiming to become a Python developer or data analyst, you can simultaneously improve your algorithmic thinking and code implementation skills.

1 learners are taking this course

Level Beginner

Course period Unlimited

Python
Python
Algorithm
Algorithm
algorithms
algorithms
Python
Python
Algorithm
Algorithm
algorithms
algorithms

What you will gain after the course

  • The ability to directly implement core algorithms using Python

  • The thinking ability to logically analyze and solve algorithm problems

  • The ability to analyze code behavior through Python code debugging

  • A deep understanding of basic algorithms such as sorting, searching, average, and ranking

Are you learning Python but struggling with how to apply algorithms to solve real-world problems? Many learners understand Python syntax but face difficulties in solving actual development or coding test problems due to a lack of algorithmic thinking and implementation skills.

In this course, you will learn by directly implementing core algorithms frequently used in development and data processing using Python. This is not just a lecture explaining theory, but is structured to help you understand how algorithms work through the actual process of writing and debugging code.

You will learn 12 algorithms frequently encountered in practical work and problem-solving step-by-step and implement them directly with Python code, covering topics such as sum, average, maximum, minimum, sorting, searching, merging, and mode.

Additionally, you can learn how to analyze code behavior and understand the flow of algorithms by utilizing the Visual Studio debugger features.

This is a practical lecture that can simultaneously improve algorithm understanding and problem-solving skills for developers using Python or those studying data analysis.

What you will learn

Section (1) Key Keywords

Python Algorithm Basics and Core Algorithm Implementation

In this section, you will learn the basic concepts and practical implementation methods of algorithms step-by-step using Python. It is designed not just to explain theory, but to help you understand how algorithms work by directly verifying them through actual Python code.

First, we will explain what an algorithm is and why algorithms are important in programming. Afterward, we will set up the Python development environment and learn how to analyze the code execution process using the Visual Studio debugger features.

Next, we will implement the core algorithms frequently used in practical work and problem-solving one by one.

For example, you will learn algorithms such as the following.

  • Sum Algorithm

  • Average Algorithm (Average Algorithm)

  • Count Algorithm (Count Algorithm)

  • Max / Min Algorithm

  • Near Algorithm

  • Rank Algorithm

It also covers sorting and searching algorithms, which are important for data processing and problem-solving.

  • Selection Sort Algorithm (Selection Sort)

  • Search Algorithm

  • Binary Search Algorithm (Binary Search)

Finally, you will learn the following algorithms that can be utilized for data analysis and problem-solving.

  • Merge Algorithm

  • Mode Algorithm

  • Group Algorithm

Each algorithm follows a structure of theoretical explanation → Python code implementation → code analysis through debugging. Through this, students will not only understand the principles of the algorithms but also develop practical skills that can be applied to real-world problem-solving.

Upon completing this section, you will have the ability to directly implement and analyze various algorithms using Python.

Recommended for
these people

Who is this course right for?

  • Learners who have learned basic Python syntax but find it difficult to implement algorithms

  • Aspiring developers preparing for coding tests or technical interviews

  • Those who want to improve their data analysis or programming problem-solving skills

  • Developers who want to strengthen their problem-solving skills using Python

Need to know before starting?

  • Python basic syntax (variables, conditional statements, loops, etc.)

  • Understanding basic programming concepts

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This is itgo4790

ITGO Co., Ltd., which operates the IT e-learning specialized site ITGO established in 2001, is a content production company that produces and distributes IT e-learning content.

ITGO produces courses by inviting practical experts and teaching professionals from various IT fields, and we continuously produce and supply about 150 new courses annually to keep pace with the constantly evolving and changing nature of the IT industry.

In addition, we actively collect learners' opinions and reflect them as much as possible when planning and opening new courses.  

All of our employees will continue to strive to recruit excellent instructors and stay updated on the latest trends in the IT field to produce high-quality courses.

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