[Pythonゲーム開発] 初心者でも作れるマインスイーパー作り

It's okay if you don't know Python! This course is a hands-on lecture designed so that even those who are new to programming can follow along. By creating the classic game Space Invaders yourself, you can naturally learn Python basic syntax and 2D game-programming using Pygame. Since you learn while making a game, there's no time to be bored, and you can feel the sense of accomplishment of completing something with your own hands.

You can create hybrid casual games using Unity 6.

Qt is a powerful framework that provides not only GUI but also various functions such as network, database, multimedia, IPC, etc., so you can easily and quickly develop applications in various fields with Python. In this lecture, we will learn how to effectively utilize Qt in Python through various examples starting from the basics of Qt.

This is the process of refactoring a game engine made with C++ using the DirectX 11 library. It was developed by inferring internal code, allowing you to think about the internal principles of the Unity engine. This is not a project at the level of a rendering program typically covered in academies/lectures. It builds a real game engine incorporating various technologies, from the build system and scripting.

Python Programming Basic Hands-on Lecture taught by a professional Data Scientist! In this lecture, chosen by over 5,000 cumulative students, you can master Python from basics to practical application, step by step, with Selena. Living in the era of generative AI and LLM, the essential language you must learn is Python. This is a verified lecture that received 5 out of 5 stars based on high student satisfaction, and an unlimited Q&A open chat room is also provided where you can ask questions and communicate anytime while taking the course.

Prepare perfectly for the Programmers Coding Essential Competency Certification (PCCE), from Python basics to competency certification!

You can create a GUI program with Python.

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.

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.

This lecture is for those who have learned Python but are unsure of how to use it. Utilize 99.9% of basic programming knowledge!!! Try making a Flutter voice translation app with basic example code by minimizing difficult code. Talk to chatGPT, translate conversations with foreign friends, draw images with voice, and upgrade the conversation app with fine tuning.

Create a program using the GPT API and even generate images and videos!

This course is beneficial for those who wish to learn how to use ChatGPT and acquire basic Python grammar. It's also helpful for individuals looking to learn and consolidate basic Python grammar.

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

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.

You will thoroughly understand the principles!

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.

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.

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.

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.

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.