Inflearn - Lifetime Career Platform

We will gradually learn about the new core grammar added to C++20 and consider how it can be applied to games in the long term.

Learn the basic C++ syntax for smooth learning of the series. We will cover essential content from assembly language to basic C++ syntax, STL, and C++11 in a compressed manner.

For those aspiring to be Java-based Spring backend developers, to easily secure a job, we learn Java properly! Rigorously!

This is a practical Qt QML and C++ course built on 6 invaluable projects. Build your fundamental skills for real-world work through practice that covers various UI development and REST API communication!

[Python for AI] This is the fourth lecture in the series. It is a lecture that covers Python grammar along with practical exercises used in machine learning and deep learning.

This is a course that offers extensive practice in Python's basic syntax. This is a course that provides practical exercises used in Machine Learning and Deep Learning, along with Python's syntax.

Anyone who is a C/C++ developer can get started. You can quickly learn MFC Windows programming by selecting only the core. We also provide a 1200-page textbook.

This lecture covers how to properly implement a linked list-based linear data structure using C language. You can understand the structure of the DB as well as the linked list at once.

Do you want to master the Python language? This course is designed to help even those with no coding experience learn Python easily through fun examples. In addition, the extensive coding exercises will greatly help improve your coding skills.

For those who want to learn data science, big data, and web crawling, (1) we summarize the most essential Python syntax in a short time, and (2) you'll become familiar with Python and crawling through practical crawling programming.

Through the 25 patterns of OODP, you will learn various ways to design software in an object-oriented manner.

This book provides an in-depth study of various intermediate-level Java features necessary for practical work, using example code.

The Scala course provides essential skills and knowledge for professionals working in the fields of big data and data science, offering an excellent opportunity to learn efficient data processing and analysis methods through Scala's powerful programming language capabilities. Scala is widely used in big data processing tools like Apache Spark, and through this course, participants will be able to acquire advanced skills required in the big data ecosystem, thereby enhancing their competitiveness. For developers and data scientists who want to build a successful career in a data-centric world, this course will be a crucial learning opportunity not to be missed.

Do you want to become a web frontend developer? Take your first step with a fun JavaScript course✨

In this course, we will practice developing programming thinking skills using JavaScript. Starting with a multiplication table web game, we will build various projects together, including Word Chain, Number Baseball, Response Rate Test, Tic-Tac-Toe, Lotto Generator, Rock-Paper-Scissors, Card Matching Game, Text RPG, Minesweeper, 2048, and Whack-a-Mole.

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.

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

This is the fifth lecture in the [인공지능을 위한 파이썬] series. It is a course that provides practical exercises used in Machine Learning and Deep Learning, along with Python grammar.

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 the practical application section of "Introduction to TypeScript - From Basics to Practice". If you haven't taken the introductory course, please start with the introductory section first 😄