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

We will create 8 apps while learning how to build Android applications using Kotlin syntax. In addition to the 8 hands-on practice materials, we will study Android through various theoretical explanations.

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.

This is a course that can help you create a portfolio while preparing for a job as an Android developer.

We will conduct a brief tutorial and hands-on practice regarding Circuit, an Android Jetpack Compose framework.

This course is designed for developers who already have experience with programming languages (such as Java, Python, Swift, Kotlin, etc.) to quickly master JavaScript in just one hour. In an era of coding with AI, human developers must still supervise AI-generated code. This course is intended to help you rapidly build the essential knowledge required for that supervision.

This is Android development theory for creating a portfolio app for employment (or career transition).

We will create a decent app using Jetpack Compose. Going a step further from basic examples, we will connect an API (Firebase) and even implement network communication.

Stop telling designers, "This doesn't work on mobile." You can easily implement UI and animations with Jetpack Compose.

Shall we move beyond Android development using only XML and introduce Jetpack Compose?

This is an introduction to Jetpack for Android development with Kotlin. It mainly covers LocalDB and network communication.

This is an introduction to Jetpack for Android development with Kotlin. You can practice various techniques that can be used while developing for Android.

This is a basic Kotlin syntax course. It is designed for those who want to develop Android apps using the Kotlin language, and you can enjoy learning Kotlin syntax thoroughly from the basics.

Are you having trouble integrating payments into your web service? Quickly apply payments to your service using Django and I'mport.

Learn about the latest technology trends and practical insights through presentations by leaders of the Python ecosystem, including NumPy creator Travis Oliphant, Polars creator Ritchie Vink, Python Software Foundation leaders, and Django core contributors. We will also explore the future of Python in the AI era and the role of the community.

This course provides a complete introduction to programming with Python. You will start from the very basics and gradually build up to writing more advanced scripts and solving real-world coding challenges. With step-by-step explanations, practical exercises, and projects, this course is perfect for anyone looking to start their coding journey or strengthen their foundation in Python.

Digital marketing that makes money, such as Naver Shopping and Coupang Partners, requires consistency, but you can approach it easily and effectively with scientific analysis and automation. We will teach you the key secrets of creating a program that collects and analyzes popular products, keywords, blogs, and shopping information.

"Why does my automated trading collapse in a bear market?" I have also deeply pondered this same question. Most automated trading logics on the market seem to generate profits during a bull market, but they lose their ability to respond the moment the market sentiment changes. To solve this problem, I have combined the know-how I researched myself over the past two years with the latest AI technology. In this course, you will learn how to directly design a 'Transformer-based deep learning model' that simultaneously reads macroeconomic trends and individual stock flows, and how to automatically train and deploy it in a free GPU environment. In particular, we will introduce sophisticated data normalization techniques at the hedge fund level to build an 'Intelligent Comprehensive Scoring System' that goes beyond simple indicators to incorporate news sentiment. To this, we add an 'AI Safety Gate' that implants the insight of a trader with 20 years of experience on Wall Street, adding a final layer of confidence from a human trader's perspective right before a purchase. Beyond simple buying and selling functions, you will directly implement the entire process of an institutional-grade algorithmic system by adding dynamic take-profit and stop-loss logic, eight self-recovery mechanisms, and real-time Slack reports.

We are back with significantly upgraded content and a completely transformed lecture!

We will apply it in practice by crawling sites such as Naver, Amazon, Twitter, YouTube, Facebook, Instagram, and unsplash.com.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

This lecture is designed for job seekers preparing for Evaluation and Analysis roles in Samsung Electronics' DS Division (Memory, S.LSI, Foundry, TSP, AVP) and PE, AE, and Solution PE roles at SK hynix, who are struggling with the differences between business units and job functions. You will learn how to categorize job titles by company based on the actual workflow of Product Evaluation roles and how to translate your major-related experiences into professional terminology suitable for resumes and interviews. We will help you establish an application strategy by connecting experiences in Analog circuit design, Verilog/FPGA, process experiments, and data analysis with key industry terms such as Yield, Wafer Map, Shmoo Plot, and Failure Analysis.

Advanced Selenium course that is not blocked on large platforms Developing a bot that moves like a human

This course is a practical, hands-on guide to automating repetitive tasks and maximizing work productivity using ChatGPT and Python. You will learn step-by-step how to use AI to automate daily repetitive tasks such as Excel work, report writing, sending emails, and data organization. Starting as a non-developer myself, I have taught AI automation to thousands of students, and I have compiled only the methods that can be used immediately in actual business environments. This course focuses not on complex theories, but on **"automation techniques you can use right today."** 👉 The goal is to turn ChatGPT into more than just a tool, but into **your own personal work assistant (Jarvis)**.

Flask is widely used as a Python backend framework. Flask_SQLAlchemy is a database orm used in Flask. If you know Flask_SQLAlchemy, you can do web development with concise code.

This lecture is a lecture on the backend part of the [Web Development Full Stack Course] lecture series for training full-stack web developers. This lecture is based on the contents of the instructor's book <A Week Before Investing in a Node.js Project>.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

Build basic R programming skills and learn basic crawling techniques. We will explain each line while writing the code yourself.

If I were to create a delivery app from scratch, I would do it like this. This course covers practical fastapi, mongodb, modeling and index design, redis caching, and load testing.

Stop worrying about the dev team - I'll build it myself now! This course helps professionals in planning, marketing, sales, and other practical roles implement core web service features on their own using AI tools, without needing developer assistance.

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

Starting with the question, "If I were on the Titanic, would I have survived?", this course completes a full-stack project where you develop an AI model to predict survival probabilities based on real data and deploy it as a web service. You will gain hands-on experience in the entire process of AI and web development, from deep learning modeling using PyTorch to building a backend server with FastAPI and implementing a user interface with Next.js.

If you're just learning Python and don't know what you can do or what you should do? Let's learn how to use web technologies with Python, such as web crawling, automation, and APIs.