Introduction to Python for AI

This is the second half of the Python course, following the introductory course. The goal is to complete the loops and collections, and additionally, it would be ideal to be able to utilize Python's special syntax.

This is the second half of the Python course, following the introductory course. The goal is to complete the loops and collections, and additionally, it would be ideal to be able to utilize Python's special syntax.

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

Let's acquire the Python coding skills necessary for artificial intelligence by learning the basics of the Python programming language!

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.

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. :)

This is a practical course where you will learn how to actually build computer vision and deep learning models using PyTorch. Many learners understand deep learning theory but struggle with the actual process of implementing and training models. In this course, we start with the basic concepts of image processing and move on to understanding and directly implementing key deep learning models such as CNN, LeNet, AlexNet, VGGNet, Inception, and ResNet. Furthermore, you will learn the latest computer vision technologies, including Object Detection, Semantic Segmentation, Instance Segmentation, and GAN, through hands-on practice. Through this course, learners will acquire the practical skills to build and train real-world deep learning models using PyTorch.

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.

Have you studied Python syntax but felt lost when it came to actually handling data? You know you need to learn NumPy and Pandas, but if you've been wondering where to start and how to connect them, this PART 2 is the answer. In PART 2 of our 50-lecture data analysis curriculum, you will experience the step-by-step process of loading, cleaning, processing, and statistically interpreting real data. You won't just learn libraries and syntax; you will establish criteria for which tools to choose in specific situations. PART 2 is the turning point where you move from simply knowing Python code to actually being able to handle data.

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.

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

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.

Solve coding test problems using Python.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

Django Base Camp is a course where beginners to intermediate learners can systematically master the core of the Django web framework. Through project-oriented practical lessons, you can quickly develop the ability to build web applications.

If you are planning a service, a website is an essential element. Of course, beyond services, most current 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 one of the easiest programming languages, and to set it up for actual operation.

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.

This is a lecture for people who are starting development for the first time. It's about programming thinking, which should come before development languages or UI frameworks.

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.

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

"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.