Introduction to Python Programming for Beginners

I'm curious

What will I learn?

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. 🚀

It's okay even if you're a complete beginner,

I will teach you everything step-by-step, starting from the basics.

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.

Core curriculum
optimized for beginners

Section 01 - Development Environment Setup (Windows)

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.

Section 02 - Development Environment Setup (Mac)

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.

Section 03 - Getting Started with Python

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.

Section 04 - Basic Data Types

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.

Section 05 - Data Representation and Input/Output

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.

Section 06 - Operators

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.

Section 07 - Conditional Statements and Loops

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.

Section 08 - Collection Data Types

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.

Section 09 - Functions and Advanced Patterns

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.

Section 10 - Built-in Functions

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.

Section 11 – Classes and Objects

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.

Section 12 – Modules and Packages

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.

Section 13 – Exception Handling

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.

Python Course Exclusive
Automated Practice Quizzes Provided

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.

What makes Sucoding lectures
special

Frequently Asked Questions

Notes before taking the course