입문자를 위한 Python 기초

Learn LangChain's basic concepts and usage with Python. Hands-on practice will be conducted primarily in a Google Colab (colab) environment, with materials provided via Github.

Knowledge Graph-Based RAG System in Neo4J: Next-Generation Search Leveraging Data Relationships Beyond Simple Vector Search Maximize RAG Performance using Graph DB Power!

This lecture covers RAG (Retrieval-Augmented Generation) system fundamentals and implementation using LangChain. Participants will understand RAG's core principles and learn to build and evaluate systems using LangChain.

Implementing a Retrieval-Augmented Generation (RAG) Intelligent AI Agent with LangGraph! From theory to practice, this is a hands-on tutorial that even beginners can easily follow.

This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.

Using Python's basic syntax and libraries, create your own AI chatbot. You will carry out 5 projects step-by-step, including PDF document-based RAG, and learn the process of deploying them as web services.

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.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

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 : )

'Python': Coding Skills for Life – The Ultimate Guide!! No. 1 for Easy Explanations! Customized Course for Coding Beginners

This course will help you quickly learn the core concepts of Python and the Pandas library. Improve your programming skills by solving the practice problems at the end of each part!

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

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.

It would be efficient to automate IT security tasks using Python, wouldn't it? This course follows hands-on practice, applying Python and web Flask development to automate tasks, idea by idea.

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

From the basics of Python to applications, everything you can do with Python, including web, data analysis, crawling, business automation, GUI, and programming, is covered in one course.

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

Solve coding test problems using Python.

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

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.

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

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.

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!

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.

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