How to Build an Efficient Startup Workflow System with Just Notion 🧑🏻‍💻 (Practical Workflow Templates Provided by Practitioners)

Say goodbye to complicated collaboration tools! 👋 From Markdown to databases, the essential skills of a workaholic can be done with Notion 🚀

This is a basic computer course for beginners. You can understand the components of a computer and the purposes of computer parts through perfect analogies.

King Basic🐥, only for those who say they have no more words to describe me.👂 Concepts go to the universe🚀, King Basic practice day and night✍, learn SQL with your hands!✋ No installation required.🔥 Here is the lecture restaurant, Jecobe!🎉

This lecture is for those who have no knowledge of artificial intelligence, machine learning, deep learning, or data analysis but would like to experience it. I will explain the entire process.

Generative AI for Designers🧙‍♂️ We reveal practical know-how to maximize design work efficiency with generative AI like Canva and Midjourney.

Let's quickly create a simple blog that runs for free 24 hours using Google Spreadsheets + Google apps script + Google drive + Bootstrap!

Jeju Coding Basecamp's free lectures are back!! Let's build the "10,000 Hours Rule" service together and even deploy it on GitHub!! :) Don't know anything? That's okay. Everything is prepared in this course!

Turn a web page currently being serviced as a PWA into an app service! We recommend this to those who want to experience PWA and app production in a simple way.

You can easily create your own blog with just GitHub Fork! This is a service that allows you to manage a learning blog (TIL) and GitHub lawn together.

Know! Well! Just! Neatly! Sensefully! This is a free lecture on the GitHub core concept book. You can download the book and Notion link for free. It is a non-profit project, so using the textbook is allowed without permission.

Are you curious about how hacking attacks are carried out? Are you curious about how to defend? Let's perform a brute force attack using simple python code. Through this, you will learn how attacks and defenses are carried out. :)

Let's learn about information security and hacking techniques in a broad and detailed way!

*Unprecedented online school opening due to COVID-19!* To prepare for online classes, we introduce video recording and editing methods, and tools necessary for online lectures.

Would you like to experience web server development? We will help both non-majors and front-end developers take their first step into server development. Let's efficiently explore servers and databases using familiar JavaScript syntax all at once, and understand servers!

This lecture is for beginners who are new to coding, as well as those who want to try out various uses of Python, covering basic concepts of Python, Numpy, Pandas, Plotly, Django, and crawling, as well as simple data analysis.

Know it! Well! Just! Neatly! Sensefully! This is a free lecture from the book Flex & Grid. You can use the open source link, the book, and the Notion link for free. This is a non-profit project, so using the textbook is possible without permission.

RUR-PLE is an educational software created to help students learn software development more easily using Python. Here, you will learn what can be done with software and develop computational thinking skills through simple hands-on exercises.

No more toy projects! We're revealing all the secrets to building a secure authentication system with JWT and Redis, actually used by developers in the field.

A basic textbook and practical guide covering principles and practical uses of various generative AIs like ChatGPT and Claude, and for their effective introduction and utilization.

This is a practice-oriented course designed to increase work efficiency by automating repetitive Excel tasks with Python. You will learn how to automate the entire workflow—from opening files to data processing, inspection, consolidation, and saving—and will also be provided with practical automation code using pywin32.

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.

Python Crawling Master. This is all you need, from installation to application. We've packed it with only the essential content you truly need for real-world use.

Learn about Python and how to automatically collect Naver news titles and stock data from Naver Finance using Python. The library I mainly use is BeautifulSoup.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

This is a practical QGIS course where you can not only master both Python and GIS but also learn automation methods by using them together!

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

In the second lecture of Python School, apply business automation to various fields such as IT security and IT development.

News crawling in the automation lecture... Are you bored? This is a lecture on developing an automation program that will make you an Instagram influencer.

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

This course is a hands-on program for practicing the fundamentals of machine learning mathematics and statistics using Python. While machine learning and deep learning require programming skills, a mathematical background is necessary to understand the underlying principles. Through this course, you can step-by-step master the foundational mathematics required for artificial intelligence.

Learn to implement Telegram, Slack, KakaoTalk, and Discord bots with Python, exploring each service's features via various examples.

No more lectures that start with boring grammar! Python practical application examples that jump straight into use

This is a practice-oriented course designed to increase work efficiency by automating repetitive PowerPoint tasks using Python. You will learn how to automate the entire document creation process—from creating slides to entering text, inserting images, generating tables, controlling shapes, and saving files. Practical PowerPoint automation code using pywin32 is also provided.

A solopreneur is always short on time. They need to develop automation programs to delegate repetitive tasks to the programs and let people do the creative work.

A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.

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

🚀 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.

During the Gold Rush, it was said that it was easier to become rich by selling gold mining tools than by mining gold yourself. How about selling programs in the ChatGPT Age of Exploration?

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.