Python Basics

You can understand assembly code, backtrace functions, and understand the internal structure of gdb, which traces processes. You also cover the kernel's debugging tools.

This course will guide you through the complexities of the Linux operating system, from a strong understanding of the Linux kernel to invoking system calls, process management, and file operations. You will also learn threading and interprocess communication techniques.

Understand the principles of deep learning and use Keras to simplify the complexity of building and training neural networks using models, layers, and optimization techniques.

Secure Coding in C covers concepts such as buffer overflow, memory management, and vulnerability prevention to ensure the development of safe and reliable software applications.

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

This course contains only the essential content about C, the basic language of all languages. It is recommended for those who are learning C for the first time.

By understanding the internal structure of the C language, you can implement faster and more memory-optimized programs.

This course covers the latest data structures and algorithms used in representative open sources such as Linux.

This is an introductory course on the Python programming language. Rather than a formal and tedious structure of simply printing text and following syntax, this course covers fundamental principles at an appropriate level regarding 'why' and 'how' things work, along with actual programming practice. Additionally, various course materials are provided.

A course where you can not only build programs required for blog operation using Python, but also earn additional revenue through sales and branding.

Solve coding test problems using Python.

Prepare perfectly for the Programmers Coding Essential Competency Certification (PCCE), from Python basics to competency certification!

Let's learn how to translate real-life and major problems into actual computer programs and practice using Python-based artificial intelligence tools!

If you are planning a service, a website is an essential element. Of course, in addition to the service, most of the currently provided program infrastructures operate based on the web. The purpose of this course is to learn how to create a website using Python, which is considered the easiest programming language, and how to set it up to an actual operational state.

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

AI does the coding, I get the results! Maximize practical programming skills, achievable even for beginners!

For those who want to learn data science, big data, and web crawling, (1) we summarize the most essential Python syntax in a short time, and (2) you'll become familiar with Python and crawling through practical crawling programming.

Data analysis sounds a bit grandiose, but it is actually a process of establishing a hypothesis and verifying it based on data. You can learn how to analyze what data to verify your hypothesis using Python.

This is a basic DFS lecture that explains the way a liberal arts major and working developer studied to get a job :) We have prepared a lecture where you can learn by solving problems yourself, with minimal boring theory lectures! After taking this lecture, you will be able to solve silver level DFS problems on your own according to Baekjoon standards.

From the basics of Numpy and Pandas to data preprocessing, visualization, and crawling, all in one place! This is an introductory Python course for data analysis.

Anyone can easily create a Python game using the Pygame library, starting from zero base.

Do you manually type in numerous commands every time you build a complex project or create a deployment package? Currently, most open-source projects use build automation scripts to save the trouble of typing commands. Do you also find building tedious? Then use this course to automate your builds and increase your work efficiency.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

Even office workers who know nothing about coding can easily learn the basic concepts and grammar of programming through practice, and learn file input/output, Excel data processing, automatic creation of MS-Word documents, graph drawing, web scraping, etc.

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

You will learn techniques that can be applied in various fields of IT security, starting from the introduction to Python programming.