Corinna, let's code! with Python

You need to have a solid understanding of the basic principles of operating systems to understand advanced programming techniques. This lecture is a specialist-level lecture on the dinosaur book, which can be called the bible of operating systems.

How much have you studied about the factorization algorithm? This lecture is a lecture that delves into the factorization algorithm from the basics to the quantum algorithm using Python coding.

Are you tired of algorithm lectures that explain with pseudo code? Let's learn the basics of algorithms with executable Python source code!

An introductory lecture to get a taste of the world of quantum computing: Welcome! New to quantum computing?

We will explain more slowly for those who are new to programming. However, the goal of the lecture is to train initial developers who can code. Welcome to those who want to code.

This course is designed to teach the basics of the Python programming language in an easy and practical way that suits modern life. Python is easy to learn even for beginners thanks to its concise and easy-to-read syntax, and is used in various fields such as data analysis, web development, and artificial intelligence.

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.

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 : )

Learn how to use various libraries and acquire the theory and knowledge necessary to create related applications through Python, the easiest programming language to learn and the most widely used in a variety of fields.

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.

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.

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. :)

Python Algorithm Know-How! Public! Public! Want to master Python programming, but find it difficult to understand! Stop giving up on programming every time!! Let's understand the Python programming algorithm concept and become an expert through practical examples from a programming expert instructor!

You will thoroughly understand the principles!

Learn NoSQL technology, which can handle Big Data, one of the fundamental technologies in full-stack and data science utilized by modern startups. MongoDB is the easiest and quickest technology to utilize among NoSQL databases. In this lecture, you will learn the basics of MongoDB in a short time, and also acquire the skills to manipulate and utilize MongoDB with Python.

Solve coding test problems using 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.

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.

Strengthen your coding skills through coding test problems by learning Python-based data structures and algorithms!

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.

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

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

This course provides a complete introduction to programming with Python. You will start from the very basics and gradually build up to writing more advanced scripts and solving real-world coding challenges. With step-by-step explanations, practical exercises, and projects, this course is perfect for anyone looking to start their coding journey or strengthen their foundation in Python.