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.

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 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.

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.

Can you answer the question, "Why do we need classes? 🤔" This covers everything Python developers should know about Python classes!

We have included only the essential content so that even non-majors can learn Python easily and enjoyably. We will proceed with detailed lectures and challenge exercises so that beginners can properly learn the ‘essential content.’

You will thoroughly understand the principles!

For those looking to learn Data Science, Big Data, and Crawling, (1) we will summarize the most essential Python core syntax in a short time, and (2) you will become familiar with Python and crawling through practical crawling programming.

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.

In this course, you will learn the basics of Raspberry Pi and Python and practice creating simple but essential self-driving car and remote home monitoring projects.

Learn about the basics of Python required for data analysis, the data analysis framework (pandas), and the data analysis process.

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

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

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

"Automating your work? Who doesn't know what's good for them?" You don't need to use a knife to catch a chicken. I want to show you that 10 lines of simple code are more practical than complex crawlers on the Internet.

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

Coding Test [ALL IN ONE] ✔️ Complete with one lecture

Learn Python coding. Learn design scripting with Rhino3d Grasshopper. Learn creative coding such as computational thinking, parametric, and generative design.

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 quickly convert MATLAB code to PYTHON by extracting only the PYTHON grammar that matches the MATLAB grammar.

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

A lecture consisting of special lectures by professors from Canadian national universities. It covers Python, Code, Scratch programming introduction/basics and practical applications. After completing the lecture, receive a global certificate from Codesprint : )

Online bootcamp in Jeju! Create your own service quickly! :)

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