A Complete Guide to Python, Made This Friendly: Python from a Silicon Valley Developer for Everyone from Developers to Non-Developers Who Need to Automate Their Work.

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

"Let’s put an end to Spring Batch. Let’s put an end to the dark age of batch code.💀"

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.

Are you lost while learning web development? I'll help you find your own way. Even if you're not from a computer science background, you can understand how web service architecture works through a short 1-hour lecture.

Creating your own data analysis portfolio with Google Antigravity CLI harness engineering and vibe coding: data collection, analysis, reporting, dashboard creation, and task automation. Even if you are new to data collection, once you master the principles, prompt engineering, and how to use Antigravity, you can perform data collection, analysis, visualization, reporting, and dashboard creation just like a data analyst. From Python data collection to report writing learned with Antigravity IDE and CLI. Prompt writing and error resolution methods for foolproof data collection and analysis.

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.

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.

A course where you can create programs for running a blog using Python and generate additional income through sales and branding.

Everything about Python asynchronous programming using FastAPI

This is a Python course provided by shop2world.

If you’ve ever had trouble determining whether the quality of responses declined after changing a prompt or model while building a service using an LLM, this course may be the solution. You’ll learn how to create your own evaluation criteria and automatically identify responses that have changed.

This course is helpful for those who want to learn how to use ChatGPT while also learning the basics of Python syntax. It is also helpful for those who want to learn and review the fundamentals of Python syntax.

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. :)

If you have repeatedly failed at studying Python, this is a must-take course. We will teach you how to study practical Python that you can actually use, in connection with "blog automation."

Is there any other language that is as difficult to set up as C++ in terms of development environment? I set up the development environment by following the information that is floating around, but why is it so difficult and complicated to build even once? Through this lecture, learn how to set up the C++ development environment easily anytime, anywhere, regardless of OS or platform!

You will thoroughly understand the principles!

Build an AI agent from scratch using Python and a single while loop, without any frameworks. In the introductory section, you’ll add tool design, failures and costs, memory, human approval, evaluation, and a web interface one by one to complete a small coding agent. In the hands-on section, you’ll implement RAG, multi-agent systems, and an MCP server yourself using real business reports from DART, then compare them numerically with LangChain and LangGraph.

Regardless of the field! This is a lecture that covers the core fundamentals that developers must know in practice in an easy + code-oriented way. I highly recommend this lecture to all junior developers and job seekers who want to grow.

Solve coding test problems using Python.

After learning SQL tuning, automate recurring tuning tasks. This hands-on project connects everything from collecting MySQL queries to AI diagnosis, empirical validation, handoff to the person in charge, and tracking recurrence.