
Create your own game with Python, easy even for beginners who are new to coding
Zero to One
Anyone can easily create a Python game using the Pygame library, starting from zero base.
Beginner
Python, Pygame
This lecture is a direct video lecture by the author of "Python for Beginners to Learn in One Breath (Turning Point, 2020)", and is the easiest and most practical introduction to Python programming.

Reviews from Early Learners
5.0
danieallee
It was very useful to be able to review the overall data analysis using Python. Personally, I had a similar experience when I used Matlab in school. I am grateful for the lecture that made it easy to approach a new field in a new era. Thank you.
5.0
Neo
As a Python beginner, I have purchased and studied several books. However, it was difficult to find a book that was suitable for beginners. I think Super Easy Python is the best book for beginners. Furthermore, it was very helpful to be able to steadily progress through the book through lectures. I look forward to even better books and lectures in the future.
5.0
똘똘이스머프
Thank you for the Python lecture. Always take care of your health.
Introduction to Python Programming
Python basic grammar and usage
Basic data analysis using Python
The book used in the lecture is structured so that even non-majors with no programming knowledge can easily get started with Python programming. With this lecture, anyone, even someone who is new to programming, can easily try Python programming.
This book condenses the essential Python fundamentals for beginners, providing explanations and examples to help you quickly build a solid foundation. It's structured to ensure beginners don't give up midway because they're overwhelmed by unnecessary information.
And unlike other introductory books, this book introduces how to apply Python in real-life situations by conducting a project that analyzes publicly available data, providing an opportunity to personally experience how to apply the knowledge learned in the book.
You can purchase the book below.
Who is this course right for?
Non-major with no programming experience
Readers who want to learn only the basic knowledge needed to start programming
Business professionals who want to do data analysis work with Python instead of Excel
A practitioner who wants to use Python to automate tasks as a server infrastructure operations manager.
Need to know before starting?
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4,081
Learners
102
Reviews
26
Answers
4.9
Rating
1
Course
A senior software engineer with over a decade of practical experience in various fields such as manufacturing, plants, and finance both domestically and abroad, he has worked at Samsung, Hyundai, and Doosan. Currently, he serves as a Principal Support Engineer and Solutions Tech Lead at Elastic, a company well-known for its global open-source search engine.
He is an organizer of PyData KR, a Python data analysis community, and has served as a speaker at PyCon 2017 and 2019, the largest Python conferences in Korea.
His books include "Python Programming for Beginners (Turning Point, 2020)," "Python Programming (Revised Edition) (Hyejiwon, 2019)," and "Introduction to Programming (Hanbit Academy, 2017)," and his translated works include "Interviews with Core Python Developers (Turning Point, 2019)."
He has a great interest in spreading Python in Korea. He runs the Python Mentor group on Facebook (https://www.facebook.com/
All
26 lectures ∙ (6hr 14min)
All
102 reviews
4.9
102 reviews
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Average Rating 5.0
5
As a Python beginner, I have purchased and studied several books. However, it was difficult to find a book that was suitable for beginners. I think Super Easy Python is the best book for beginners. Furthermore, it was very helpful to be able to steadily progress through the book through lectures. I look forward to even better books and lectures in the future.
Thanks for the feedback. I'll be making an intermediate course in the future, so stay tuned. Happy coding!!
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Average Rating 5.0
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Average Rating 5.0
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Average Rating 5.0
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Average Rating 5.0
5
It was very useful to be able to review the overall data analysis using Python. Personally, I had a similar experience when I used Matlab in school. I am grateful for the lecture that made it easy to approach a new field in a new era. Thank you.
Thanks for the great feedback. When I first started my databench project, I started by translating the algorithm written in Matlab. I'm not sure if that was reflected. Happy coding!!
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