Section 01 Getting Started with Python
● Getting started with Python
● Installing and running Python
● Python editor PyCharm
● Comments and executable statements
Section 02 Variables and Data Types
● Variable
● Numeric type
● Boolean data type
● String
Section 03 Operators
● Operator
● Types of operators
● Operator precedence
Section 04 Conditional Statements
● Conditional statements
● if statement
● if-else statement
● elif statement
Section 05 Loops
● Loop
● while statement
● for statement
Section 06 List
● List
● List operations
● List methods
Section 07 Dictionary
● Dictionary
● Dictionary operations
● Dictionary methods
Section 08 Tuples and Sets
● Tuple
● Tuple methods
● Utilization of tuples
● Set
● Set operations
● Set method
Section 09 Functions
● Function
● Parameters and returns
● Callback function
● Lambda function
● File input/output
● User input
Section 10 Class
● Classes and objects
● Constructor and destructor
● What is a class variable?●
● Inheritance
Section 11 Exception Handling
● Exception handling
● try-except
● try-finally, else
● Custom exception class
Section 12 Module
● Module
● Standard module
● External modules
Appendix 1 Web Crawling
Understanding Web Crawling
● Preparing for web crawling
● HTML
● Selenium
● Try it with Selenium
Appendix 2 Jupyter Notebook
● Jupyter Notebook
● Installing Jupyter Notebook
● Using Jupyter Notebook

Additional Information: Creating a Comprehensive Example Address Book Program

“When you first start learning to code, the most important thing is the confidence that you can understand it.”
This book is structured around easy and fun examples rather than complex theories.
You can experience a sense of accomplishment by completing a small program while learning step-by-step from basic grammar to conditional statements, loops, functions, and data structures.

Further features of this book include:
1.
We provide friendly and easy-to-understand explanations that anyone can understand.

2.
The content is structured around practical exercises where you can learn by running the code yourself.
3.
Learning is structured systematically, starting with small steps and progressing to real-world projects.
4.
In particular, it helps you intuitively understand the content by making abundant use of examples and illustrations.
5.
Furthermore, it not only fully reflects the latest Python version, but also enhances practicality by allowing you to master web crawling and Jupyter Notebook usage.

Through this book, readers will naturally learn the basic concepts of programming.
You can also develop problem-solving thinking skills and solidify your "hands-on coding experience" through continuous practice.
Ultimately, you'll gain a solid foundation for future careers in data analysis, web development, artificial intelligence, and more.

I recommend this textbook to these people!
● Beginners in programming who are trying their first coding with Python
● Learners who want to lay the foundation for school, certification, and employment
● Those who want to learn through easy and practical examples rather than complex theories
Non-majors who want to learn coding on their own