Development of a real-time trend homepage (Python crawling + Flask)

We will create 8 Android apps using Kotlin syntax. Beyond 8 practical exercises, you'll learn Android with diverse theoretical explanations.

This is a basic Kotlin grammar course. Designed for those wanting to develop Android apps in Kotlin, it offers an enjoyable way to build a solid foundation in Kotlin grammar from scratch.

This is an online class that can help you create a portfolio while preparing for employment as an Android developer.

This is an Android development theory for creating a portfolio app for employment (job change).

How about moving away from XML-only Android development and introducing Jetpack Compose?

Introduction to Jetpack (JETPACK) for Android development with Kotlin. You can practice various techniques that can be used while developing Android apps.

This course is for developers who have already used programming languages (Java/Python/Swift/Kotlin, etc.). It is a lecture designed to quickly learn JavaScript in one hour. Although we are in an era of coding with AI, human developers must supervise AI code. Therefore, this lecture aims to quickly build the minimum knowledge needed for supervision.

We'll go through a simple tutorial and hands-on practice with Circuit, an Android Jetpack Compose framework.

Let's create a plausible app with Jetpack Compose. Let's advance the example a little and connect the API (Firebase) to do network communication.

This is a fast-paced development course for busy planners. You can learn the entire development process by developing web front-end, back-end, and DB yourself with simple explanations.

Stop telling your designers, “This doesn’t work on mobile.” Jetpack Compose makes it easy to implement UI/animations.

Jetpack for Android Dev with Kotlin: An Introduction. Covers LocalDB/Network communication.

Now you can use Python in Excel! A light lecture to try out the latest features!

Are you having trouble integrating payments for your web service? Quickly apply payments to your service with Django and Import.

I will make it so that you can crawl freely. Most of the lectures are conducted through live coding. Please follow along line by line while I code!

For those just starting to learn crawling, I'll explain it in the ① easiest and ② most beginner-friendly way. Crawling is truly fun. I guarantee it; just trust me and follow along.

Learn how to start developing a web app project using Django (2.0 or later), and use the content to create a simple non-member bulletin board site that can be run on AWS.

Learn the backend development essential for practical use using Django!

Learn Python web development A to Z while making it! Learn everything from web basics to blog development and deployment all at once.

Through this lecture, you can learn about understanding SQL and databases, SQL syntax, database design for practical application, database utilization through programming, and even data analysis application cases.

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

You can easily learn how to collect and process data using Excel's Power Query feature, even if you don't know coding. You will learn Excel crawling skills by practicing the project below together.

Using the ChatGPT API, develop a full-stack multilingual translator web application in just 30 minutes, and even if you know nothing about AI, try incorporating the latest AI (ChatGPT API) into your product!

AI that thinks and adapts? Now you can build it yourself. Master the core of reinforcement learning with intuitive explanations and code, not complex theories, and grow into a 'practical developer' through finance and industry projects.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

We will build a web app environment with dJango and create a web crawling app using scrapy, a web crawling framework.

This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.

This course will be a quick overview for those who are new to coding. It will be a quick review for those who are already coding. I hope you gain confidence through this course.

This course starts with the question "If I had been on the Titanic, could I have survived?" and completes a full-stack project that develops an AI model to predict survival probability based on actual data and serves it as a web service. You'll practice the entire process of AI and web development, from deep learning modeling using PyTorch, building a backend server with FastAPI, to implementing a user interface with Next.js.

This is not a boring introduction to Widgets. This is a hands-on project lecture where I will copy the login screen and main screen of the program I am selling.