This is an introductory course designed by SuCoding, an IT author and coding creator, using a stable learning method that ensures even non-majors can complete it without frustration. We have boldly removed complex theories and selected only the essential syntax to deliver a practice-oriented experience. Even if you are starting to code for the first time, by following the lecture to the end, you will be able to create your own programs using Python.
Reviews from Early Learners
5.0
hyd
As someone new to Python, I was very satisfied with this course overall. It explained basic concepts step-by-step, making it easy for someone with no programming experience to follow along without feeling overwhelmed, and the example-oriented approach made it much easier to understand. In particular, being able to write code myself through the hands-on exercises was a huge help. The pace of the lectures was appropriate, so I could follow along without missing anything, and important concepts were reinforced repeatedly, allowing me to learn them naturally. Overall, this is a very suitable course for Python beginners, and I would highly recommend it to those just starting out. It was a great course for building a solid foundation.
5.0
귀한 불도새
I highly recommend this video for Python beginners!!! I've been looking for various videos lately because I wanted to learn Python from scratch, and I rushed here as soon as I heard that Sucoding was releasing a Python series. The teaching method was easy to understand because it involves printing out every single step, and I especially liked how the missions allowed me to review the concepts and solve problems myself. I hope you create beginner and intermediate videos in the future that show how to apply Python.
5.0
후히
The explanations were provided step-by-step from the basics, making it easy to follow even without any prior programming experience. Thanks to the lecture structure focused on practice and examples, I was able to understand the concepts easily while writing the code myself. I highly recommend this lecture for Python beginners to build a solid foundation, as the instructor repeats key concepts.
You can directly install and configure a Python development environment (such as VS Code).
I can read and write core Python syntax, such as variables, conditional statements, and loops, on my own.
You can structure your code for reuse by creating your own functions.
Data can be handled using data structures such as lists and dictionaries.
You can develop the ability to debug directly by reading error messages.
I can complete a simple program from scratch by myself using Python.
Afterward, students will build the fundamental strength to continue advanced learning in areas such as data analysis, automation, and AI.
Python that is easy to understand even for non-majors
🛩 Step 1 of Sukoding's AI Roadmap Series! 🛩
Bestseller in the field of introductory front-end development
2022 "Coding Self-Study: HTML+CSS+JavaScript" published! 🎉
2023 "Front-end Development: You See as Much as You Know" published! 🎉
2024 "Coding Self-Study: Vue.JS" published! 🎉
2025 "Coding Self-Study: React" published! 🎉
Sucoding is an active author who has written on various fields of front-end development.
All published books are bestsellers. 😎
This is a special course created by Sucoding, a leader in front-end lectures!
Python is known for its concise syntax and ease of learning, but when you actually start studying on your own, you often find yourself unsure of things like "why this works," "where to use variables," or "how to create and when to use functions."
In this course, we will learn by carefully selecting only the 👉 core concepts that those learning Python for the first time must know. Rather than just listing theories, we focus on understanding "why it works this way" while actually writing code.
We don't just skip over confusing concepts; we go through them starting from the core principles.
Understanding the basic structure of Python, including variables, data types, and outputting values
Characteristics and usage of string, numeric, and boolean data types
Controlling flow with conditional statements (if/elif/else, match) and loops (while, for)
Collection data types such as lists, tuples, and dictionaries, and practical patterns
Accurate understanding of function definitions, parameters, return values, and scope
Mastering advanced patterns with closures and decorators
Introduction to Object-Oriented Programming through classes, objects, and inheritance
How to structure code with modules and packages
Writing safe and robust code with exception handling
It is structured around core topics that bridge the gap from Python basics to practical application.
Through this, even complete beginners can clearly understand Python's data flow and execution structure, growing into developers who can explain for themselves "why this code works this way."
This is a course that builds a foundation for you to truly understand and utilize Python,
rather than just saying you've "used" it. 🚀
Python is said to be an easy language to learn, but when you first encounter it, it can feel difficult due to unfamiliar concepts such as variables, data types, functions, and classes.
"Why does this code work like this?" "When should I create a function, and why do we use classes?" If it's your first time, it's natural to be confused. Don't worry!
In this course, we explain everything step-by-step from the very basics, following a natural flow so that even those new to Python can easily understand.
How data is stored and processed
how to control the flow of a program using conditions and loops
what roles functions and classes play and when to use them
I will explain it in a way that allows you to visualize it in your head, just like a picture.
In this section, before diving into the actual practice, we will go through the basic preparations for taking the course. We will cover everything from installing the Chrome browser, Node.js, and VSCode to configuring extensions optimized for Python development, and the installation method for UV, a modern Python version management tool, all based on the Mac environment.
In this section, we will proceed with the basic development environment setup for taking the course in a Windows environment. We will provide step-by-step guidance for Windows, including the installation of the Chrome browser, Node.js, and VSCode, as well as the extension configuration required for Python development and the UV installation method.
In this section, we will explore the concepts of Python step-by-step from the beginning and cover the process of actually running code. After learning how to create and run a Python project, we will organize the essential core terms for understanding Python, such as data, values, variables, and comments, along with hands-on practice.
In this section, you will learn about data types, which are the foundation of how Python handles data. We will examine the concepts and characteristics of string, numeric, boolean (bool), and None data types, and summarize how to actually use each one. At the end of the section, you can check what you have learned through missions and solutions.
In this section, we cover how to receive input from users and output it in the desired format. We will summarize the characteristics of each method by comparing input processing using input(), the concept of type conversion, and various string formatting methods such as format codes, format(), and f-string.
In this section, you will learn about the various types of operators and how they work in Python. We will examine arithmetic, string, comparison, logical, assignment, and compound assignment operators, as well as unary operators, in order. We will also clearly outline operator precedence to understand the order in which calculations are performed when multiple operators are used together.
In this section, you will learn about conditional statements and loops that control the flow of a program. We will cover how to handle conditions using if / elif / else, conditional expressions, and match, as well as how to repeatedly execute code as many times as desired using while / for and nested loops.
In this section, you will learn about collection data types that allow you to group and manage multiple pieces of data. We will explore the concepts and methods of lists, tuples, and dictionaries, and provide a step-by-step guide on how to handle collection data in practice by using them alongside conditional and loop statements.
In this section, we cover everything from the basic structure of functions that make code reusable to advanced usage. After understanding parameters, return values, scope, and the operating principles of global / nonlocal, we explain the flow that naturally connects to closures and decorators.
In this section, you will learn about the built-in functions provided by default in Python. We will cover functions frequently used in practice, ranging from the concept of lambda functions to math and number-related functions, type conversion functions, and functions for handling sequences and iterables.
In this section, you will learn about Object-Oriented Programming, one of the core concepts of Python. We will cover everything from defining classes and clearly understanding the differences between instance variables, class variables, and methods, to how to structurally extend code through inheritance. We will also explore the key concept that "everything in Python is an object" in this section.
In this section, you will learn the concepts of modules and packages for separating and reusing code in file units. We will cover various import methods, the operating principles of __name__ and __pycache__, and even how to configure packages yourself using __init__.py.
In this section, you will learn about exception handling to safely manage errors that may occur during program execution. We will cover everything step-by-step, from the basic try / except structure to various ways of extending exception handling, how to manually raise exceptions using raise, and how to create custom exception classes.
This course comes with a dedicated online practice site where you can immediately verify what you've learned. You can access it directly from your browser without any separate environment setup, allowing you to review anytime, anywhere.
Concept Review Passage Before solving the problems, quickly review what you have learned with a passage that summarizes the core concepts of the section.
4 types of practice problems
Code Completion Type — Learn the structure of code by filling in the blanks
Output Prediction — Understand the flow by predicting the results without running the code
Error Correction Type — Find and fix incorrect code yourself to identify and correct common mistake patterns
Free-writing type — Write code from scratch according to the given conditions
Progress Tracking + Instant Answer Verification You can check the completion status for each problem and verify the correct answer immediately after solving it.
Beyond simply listening to lectures, we provide a learning experience where you solve problems yourself and verify them to truly make the knowledge your own.
We learn by selecting only the core concepts that are actually frequently used among the vast syntax of Python.
We focus on structures and standards that can be immediately applied to actual coding, such as variables, data types, conditional statements, loops, functions, and classes.
Step-by-step explanations are provided in the order of concept → flow → code so that even those new to Python can understand.
It is composed of practice-oriented lectures where you write and modify code yourself, rather than just typing along with examples, to help you apply it directly to real-world situations.
"Why does this code produce this result?" and "When should I use functions and classes?" are clearly explained based on the execution flow.
Instead of simply memorizing syntax, you can naturally understand how Python works.
The course is structured with the most modern development methods, reflecting the structure and recommended patterns of the latest Python versions.
Setting up development environments actually used in the industry, such as UV and VSCode, is covered from the start to help you build the right habits from the beginning.
I will point out common points of confusion and real-world mistake cases that are often not well-explained in official documentation.
Beyond simple grammar explanations, we provide the mindset and standards for growing into a Python developer.
We provide fast and friendly feedback to students' questions.
Common mistakes and confusing parts are pointed out to maximize individual learning effectiveness.
Just as a masterpiece game recognized by everyone might not be fun for me,
a lecture is not equally suitable for everyone.
No matter how highly praised a lecture is, it might not be the right fit for you,
and conversely, a lecture that seems ordinary to someone else could be the best lecture for you.
That is why all of my lectures have at least 10% of their content available for free.
Try listening to them yourself and see if my teaching style resonates with you!
If we are a good match,
I will guide you through the fastest shortcut to becoming an AI developer.
Trust me and follow along! 🚀
Q. I am a complete beginner who knows absolutely nothing. Will I be okay?
A. Yes. It is perfectly fine. This is a customized course designed specifically for those who are starting from scratch.
Q. Is prior knowledge required?
A. It is not required.
Operating System and Version (OS): Windows, macOS
Tools used: Visual Studio Code, Chrome
PC Specifications: Even the minimum specifications capable of web surfing are sufficient.
Learning materials for each lecture are provided for hands-on practice.
Available for complete non-majors and beginners
Who is this course right for?
Those who believe they should learn Python but have given up several times while trying to teach themselves.
Those who want to study AI and data analysis but cannot even get started because they lack the basics
A non-major who is considering a career change to a developer but feels overwhelmed about where to start
A complete beginner who has watched YouTube lectures but has never actually written code themselves.
Those who know Python syntax but are always confused by the underlying principles of why it works this way
Need to know before starting?
You can take this course even without any prior knowledge.
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Answers
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Courses
Sukoding provides both online and offline
coding instruction.
Based on years of offline teaching experience,
we think every day and work tirelessly so that more people can learn coding easily and enjoyably
.
To date, I have published the following five books
and am leading the field of front-end development education::
We also offer a variety of free courses through our YouTube channel.
👇 Visit us now
[YouTube channel link]
You can also quickly check the latest discount news on the official website.
👇 Visit it now
[Official Website Link]
All
146 lectures ∙ (12hr 19min)
Course Materials:
All
8 reviews
5.0
8 reviews
Reviews 12
∙
Average Rating 5.0
Edited
5
I highly recommend this video for Python beginners!!! I've been looking for various videos lately because I wanted to learn Python from scratch, and I rushed here as soon as I heard that Sucoding was releasing a Python series. The teaching method was easy to understand because it involves printing out every single step, and I especially liked how the missions allowed me to review the concepts and solve problems myself. I hope you create beginner and intermediate videos in the future that show how to apply Python.
Thank you so much for your thoughtful review! 😊 It gives me great strength to hear that you enjoyed the teaching style and the structure of the missions. I put a lot of effort into explaining things step-by-step through hands-on execution so that even those learning Python for the first time could follow along without feeling overwhelmed, and I am glad that it resonated well with you. As you mentioned, following this introductory course, I will gradually prepare beginner and intermediate practical lectures where you can actually apply Python. I will continue to provide helpful content in the future. Thank you! 🙏
Reviews 2
∙
Average Rating 5.0
5
As someone new to Python, I was very satisfied with this course overall. It explained basic concepts step-by-step, making it easy for someone with no programming experience to follow along without feeling overwhelmed, and the example-oriented approach made it much easier to understand. In particular, being able to write code myself through the hands-on exercises was a huge help. The pace of the lectures was appropriate, so I could follow along without missing anything, and important concepts were reinforced repeatedly, allowing me to learn them naturally. Overall, this is a very suitable course for Python beginners, and I would highly recommend it to those just starting out. It was a great course for building a solid foundation.
Hello hyd, Thank you for leaving such a great review 😊 It is truly rewarding to hear that you found the course satisfying as someone new to Python. I am glad that the step-by-step approach to basic concepts and the practice-oriented progression were helpful to you. I will continue to provide informative lectures that make important concepts easy to understand and learn through hands-on practice. Thank you sincerely for your valuable feedback and recommendation!
Reviews 20
∙
Average Rating 5.0
5
I liked that it focused on the core points and explained only the necessary content clearly and easily. Since the development environment setup was covered for both Mac and Windows, I was able to follow along without getting stuck at the beginning, and the example codes included conceptual explanations in the comments, making it convenient to review later. I also liked that there were brief summaries and mission problems at the end of each section, allowing me to immediately check if I had properly mastered the concepts! I recommend this as an introductory Python course. haha
Thank you so much for your thoughtful review 😊 It gives me great strength to know that you appreciated my efforts to explain things simply and clearly by focusing on the core concepts! I am truly rewarded to hear that everything from the development environment setup to the comments in the example code, section summaries, and mission problems helped your learning flow. I put a lot of thought into the structure so that beginners could follow along without getting stuck, and I’m grateful that you noticed those details 😊 I will continue to provide even better lectures that make complex topics easy to understand. Thank you sincerely for recommending this as a Python introductory course! 🙌
Reviews 39
∙
Average Rating 5.0
5
It's a kind lecture. I recommend it to Python beginners.
Hello White. Thank you for the great review 😊 I'm truly happy to hear that you found the lecture helpful and friendly! I tried to explain things easily so that even those starting Python for the first time could follow along without any pressure, and I feel a great sense of reward knowing it helped. Thank you sincerely for leaving a recommendation as well 🙌 I will continue to provide great lectures that are helpful for beginners!
Reviews 1
∙
Average Rating 5.0
5
The explanations were provided step-by-step from the basics, making it easy to follow even without any prior programming experience. Thanks to the lecture structure focused on practice and examples, I was able to understand the concepts easily while writing the code myself. I highly recommend this lecture for Python beginners to build a solid foundation, as the instructor repeats key concepts.
Hello Huhi! I focused on explaining basic concepts step-by-step so that even those without programming experience could follow along without feeling overwhelmed, and I am very happy that you appreciated that part. I also structured the course so that you could learn by writing code yourself through practices and examples, and it is very rewarding to hear that it helped you understand the concepts. I will continue to strive to provide lectures that help Python learners build a solid foundation. Thank you for taking the course, and I will be rooting for your future studies!
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