Python Intermediate

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

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.

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.

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.

This course is designed to guide you through the essentials of Python, a language renowned for its simplicity and power. Immerse yourself in the exciting world of programming with our Basic Python course.

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

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

This course is designed to guide you through the essentials of Python, a language renowned for its simplicity and power. Immerse yourself in the exciting world of programming with our Basic Python course.

Python Programming for Non-Majors

We will cover the major Python libraries that you must learn to become a data analysis expert.

A process to upgrade from a beginner in Python to a Python practitioner! Learn about data analysis and data visualization using Python, and increase your ability to use it for company work through real-world projects.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

Learn about Python NumPy, a representative library in the field of data science. Learn NumPy and lay the foundation for learning data science!

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

"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.

I want to create an algorithm trading bot that makes unlimited money and run it automatically. Where should I start?

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.

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems

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.

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

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

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.

Those who have learned the basics of Python will learn how to utilize Python after watching this lecture.

You can easily and enjoyably understand Python programming with games. This is a lecture that even children in elementary and middle school can follow, so parents and teachers will find many places to use it if they learn it. :)

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.