Python that hits at the speed that Koreans like

Just 10 minutes a day! ⏰
Learn Python at a pace just right for Koreans.

Easy, fast, and fun Python 😉

There are countless ways to learn Python, from academies, bootcamps, and textbooks. But while others struggle to conquer the Python mountain, wouldn't you like to fly above in a helicopter and quickly and easily see "this is what Python looks like"?

This course is a Python course with a dramatically reduced difficulty and condensed content. Learn Python faster and easier than anyone else with fun examples like games, quiz bots, chatbots, and automatic document file classification!

This course is meticulously designed to help even non-majors learn Python easily , allowing them to practice with dazzling examples without much effort. Whether you're a liberal arts major or a middle school student, the course is accessible to everyone. Furthermore, each topic is broken down into 10-minute chunks, so you can make significant progress in just 10 minutes a day!

I recommend this to these people 🙋‍♀️

I have never learned coding before
Non-major

I want to learn coding in a fun way
youth

I want to learn Python quickly
office worker

Course Features 📜

1. Learn all the computer science knowledge you need to code in Python in just 10 minutes!

Two. While others are coding boring calculators in introductory courses, we practice with dazzling examples, like games! Of course, the difficulty level is easier than using a calculator!

Third, you can apply what you learn directly to your daily life.

Fourth, we'll also guide you through how to turn your code into an application.

• (The photo above is the icon of the app created in the actual lecture.)
• (How to create .exe files for Windows and .app files for Mac)

5. After completing the course, we will also help you determine your future study direction based on your goals.

What you'll learn 📚

• [Windows users] - 174 minutes
• [MacOS users] - 173 minutes

Section 0. Prologue - 5 minutes

Unit 1. Python at a Korean-friendly pace (5 minutes)

• We'll walk you through the entire curriculum and how to get the most out of this course.

Section 1. Introduction to Computer Science in 10 Minutes - 10 minutes

Unit 2. Computer Architecture (5 minutes)

• Learn the superficial aspects of computer architecture, which you learn in one semester in computer science, in just 5 minutes.

Unit 3. Programming Languages and Python (5 minutes)

• Learn the concepts of programming languages and Python in just 5 minutes.

Section 2. Setting Up a Python Development Environment - 24 minutes

Unit 4. [Windows] Setting Up a Python Development Environment (12 minutes)

• Install the software required for Python coding.
• Experience a hands-on Python game example.

Unit 5. [MacOS] Setting Up a Python Development Environment (12 minutes)

• Install the software required for Python coding.
• And, I'll show you how to set up your MacBook so that you can load installed software with just a shortcut key.

Section 3. Variables and Data Types - 37 minutes

Unit 6. Variables (7 minutes)

• Learn about [variables], which help you easily use useful data.
• And we will practice an example of software that automatically creates Excel files using [variables].

Unit 7. Data Types at a Glance (7 minutes)

• Let's take a look at the various data types used in Python in just 5 minutes!
• Review your data type knowledge by competing against the quiz bot, [Data Type Sphinx].

Unit 8. Strings that store text (12 minutes)

• We will learn about [string], a tool for storing text in Python, and its various uses.
• We'll walk through an example of upgrading the famous chatbot [ELIZA] to make it smarter.

Unit 9. Lists and Tuples for Categorizing Data (13 minutes)

• Learn about [lists] and [tuples], which store data like lists in Python.
• Next, we will practice an example of creating 100 employee personal information files and then merging them into one.

Section 4. Conditional Statements, Loops - 26 minutes

Unit 10. Conditional Statements (10 minutes)

• A smart program knows how to act appropriately to the situation and time!
• We study [conditional statements] that handle the flow of logic in Python.

Unit 11. Logical Operations (6 minutes)

• We will study the basic [logical operations] to enrich conditional statements and use [loop statements] more easily.

Unit 12. Loops (10 minutes)

• Let's study [loop statements] that repeatedly execute code!
• With [loop loops], you only need three lines of code to print the multiplication table from 1 to 9!

Section 5. Functions and Classes - 28 minutes

Unit 13. Functions (15 minutes)

• We actually learned about functions in elementary school! Rice cookers are functions, elevators are functions, and vending machines are functions.
• We'll look at a technique for compressing large amounts of code into shorter chunks using [functions].

Unit 14. Class (13 minutes)

• Is there a lecture that teaches you about Python and [classes], the flower of object-oriented programming, in just 13 minutes?
• We will learn how to create and use [Classes] by creating a [Class] that stores the worker's name, age, and blood type profile.

Section 6. Trying out someone else's code - 15 minutes

Unit 15. Installing Libraries Using PIP (5 minutes)

• How many lines of code are needed to collect real-time Bitcoin prices and scrape Naver news? The answer is just one! All you need is "pip install"!
• We'll show you how to use useful programs created and shared by developers around the world for free!

Unit 16. Editing Excel Files Using Libraries (10 minutes)

• Just enter one line of code and your Python [list] will be converted into an Excel file!
• Let's download a library that helps us edit Excel and create Excel files to our liking.

Section 7. Challenge Project - 17 minutes

Unit 17. File Input/Output (7 minutes)

• This section covers how to read and write document files in Python. This section introduces the basic knowledge needed for Unit 18's practical exercises.

Unit 18. Creating Document Organization Automation Software (10 minutes)

• "Here are 100 document files containing personal information about our employees. Open and review each document, then separate the files into two folders based on the employee's gender!"
• How long will this take? An hour? Two hours?
• In Python, pressing Enter finishes the task in 0.3 seconds :)

Section 8. Processing My Code - 15 minutes

Unit 19. [Windows] Creating an .exe File Using Pyinstaller (8 minutes)

• We'll show you how to process the Python code we created into an .exe format, just like games or popular software!

Unit 20. [MacOS] Creating an .app File Using Py2app (7 minutes)

• The Python code I wrote... becomes an application with the .app extension that I can run on my MacBook?

Section 9. Epilogue - 16 minutes

Unit 21. What This Course Doesn't Cover (11 minutes)

• By comparing the table of contents of your college textbook with the content of this lecture, we'll outline what you've already learned, what you haven't learned, and what you need to study further to become a future expert.

Unit 22. Curriculum Guide to Match Your Dream Goals (5 minutes)

• Did Python suit your tastes better than you expected? Are you interested in learning more about coding? Perhaps you'd like to pursue a career in coding?
• [Data Scientist], [AI Developer], [Front-end Developer], [Back-end Developer], [Application Developer], [Game Developer]
• What does each job entail? We'll introduce a curriculum that covers the additional study needed to advance into these fields, using Python as a foundation.

Expected Questions Q&A 💬

Introducing the Knowledge Sharer ✒️

History

• CTO of Sangsang Garden Co., Ltd.
• The first Korean regular member of the Perfect IQ Society (LPS)
• Numerous technical consulting and lectures provided to public institutions, including the Blue House, the Supreme Court Judicial Policy Research Institute, the Ministry of Employment and Labor, and the Ministry of the Interior and Safety.
• Early graduation from KAIST Department of Bio and Brain Engineering with a bachelor's and master's degree

Portfolio/Personal Videos

• Published about 20 books
• Many online lectures have been filmed at Fast Campus, WiseHRD, and other venues.
• https://needleworm.github.io