[Kim Left-hand Coding] 1 Python a Day: 50 Python Problems for Beginners

Let's solve 30 problems from the Python coding game CheckiO together. You can improve your skills by solving difficult Python problems. This lecture is for those who have learned basic Python grammar and have built up some skills. You can find more lectures on the YouTube channel Kim Left-hand Coding.

It guides you on how to freely use Python, a powerful and easy language.

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

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.

1. A practice-oriented lecture designed to help you pass the AICE Associate, Korea's only nationally recognized AI certification. 2. Learn to the level of performing data analysis and AI modeling based on Python.

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.

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.

Python Algorithm Know-how Revealed! When you want to master Python programming but find it difficult to understand! No more giving up on programming every time!! Understand Python programming algorithm concepts through practical examples from a professional instructor and become an expert!

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

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.

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

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.

From Python fundamentals to practical data analysis! You will learn practical Python skills for processing, visualizing, and analyzing data while solving business problems.

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

This course will help you quickly learn the core concepts of Python and the Pandas library. Improve your programming skills by working through the exercises after each section!

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.

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

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.