Python Understood at Once with Code

The PyTorch_Project Edition, understood instantly with code, implements practical deep learning projects using image, video, and NLP data, understanding model structure and flow through code-centric learning over theory.

PyTorch Fundamentals: Code-Based Clarity is a complete guide for anyone wanting to implement deep learning models using PyTorch, from deep learning beginners to developers aiming for practical application. Through 19 systematic lectures, you can perfectly master the core of deep learning, including PyTorch basics, deep learning algorithm implementation, overfitting problem resolution, and even CNN, RNN, GAN models.

This lecture aims to systematically learn the essential core concepts and functions absolutely necessary for the Business Information Visualization Practical Exam (Tableau), based on the exam guidelines of the organizing institution. It is structured around practical exercises so that you can freely use the functions frequently tested in the actual exam, and through solving mock exam problems of types A and B, you can improve your understanding of the exam types and your problem-solving skills together. Lecture plan and materials can be checked at https://github.com/hansikyung/Tableau_OneTime.

The Business Information Visualization Capability Certification course focuses on cultivating the ability to effectively analyze and visualize data, and clearly convey information necessary for business decision-making. Through this, as talent equipped with data-driven strategic thinking and practical capabilities, you can acquire diverse knowledge and skills helpful for personal competency development and work performance improvement. This course was created for written exam candidates of the newly established 'Business Information Visualization' course in 2024. With content faithful to the exam guidelines from Subject 1 to Subject 3, we help you pass your written exam.

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 : )

Why this course is special: Key Advantages • Intuitive Visualization: Directly observe algorithm operations in real-time with Pygame 2D simulations • Practical Implementation Experience: Go beyond theory and internalize autonomous driving algorithms by coding directly • Master Core Algorithms: Focused learning of essential algorithms such as Dijkstra, Pure Pursuit, ICP, etc. • Step-by-step Advanced Learning: Systematic difficulty progression from basics to SLAM • Lidar-based SLAM: Practical map building and localization in unknown environments

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.

"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.

Coding Test [ALL IN ONE] ✔️ Complete with one lecture

Learn how to collect data from the web and create a supervised learning model for machine learning!

During our school days, the 'click' sound we heard in the computer lab... that was Minesweeper. In this course, we'll recreate those memories by implementing it with Python. Whether you're a beginner or even someone encountering Python for the first time, by following along line by line, you'll find that your very own Minesweeper game has been completed before you know 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!

Kim Won-son's book Hello Coding is a video lecture on Python in one bite. It is an upgraded version of Inflearn's bestseller, Ugly Coding Kid. This lecture is for those who have never tried Python before. You can find more lectures on the YouTube channel Kim Won-son's Left Hand Coding.

A Complete End-to-End Developer Journey — Build Lightning-Fast APIs, Modern Frontend Interfaces, Real Projects, Authentication Systems, Dashboards & Full Deployments Using FastAPI, React, and Vibe Coding Techniques.

Let's begin developing with Copilot (copilot). With AI, even elementary school students can follow along!

This course is designed to prepare for the Information Processing Engineer practical exam using only past exam questions. Instead of unnecessary theory or extensive content, it's designed to lead directly to 'passing' by focusing on past exam questions that are repeatedly tested in actual exams. It reflects the latest exam trends, allowing you to quickly grasp key points and question patterns, and you can learn answer writing techniques through the problem-solving process. This is a course optimized for test-takers who aim to pass efficiently in a short time.

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

I created a course based on the content from the book "Becoming a Coding Test Passer - Python Edition". You can learn algorithms and data structures that frequently appear in coding test exams.

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.

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.

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

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. :)

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

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.