Python: Learn Python in 24 Hours

If long, complicated Python code intimidates you, this e-book is the perfect place to start. Python is one of today’s most powerful and versatile programming languages, used in everything from video-streaming platforms to file-hosting services. Becoming proficient in Python opens the door to building scientific applications, data-science projects, and even machine-learning algorithms. Best of all, Python is completely free and open-source - anyone can modify, improve, or extend it.

This crash course is designed to help you learn Python quickly and confidently. It breaks down complex concepts into simple, digestible steps and teaches Python in a friendly, beginner-focused manner. Even if you have never written a single line of code, you will find the lessons easy to follow. The book uses clear examples, helpful screenshots, and intuitive graphics to reinforce each concept, making learning both effective and enjoyable.

Inside, you’ll explore essential Python topics such as classes, objects, tuples, strings, operators, loops, functions, and much more. Every example is crafted to illustrate the ideas in a way that is simple for beginners to understand. The e-book also provides links to additional tutorials, guides, and resources for continued learning. Even young learners can use this book as a quick Python reference or dictionary.

By the end of this crash course, you will not only understand Python - you will be able to remember and apply what you’ve learned with confidence. This book cuts through the complexity often found in lengthy textbooks or expensive online courses and shows you how straightforward Python can truly be.

Table Of Content

Chapter 1: Install Python

Chapter 2: Creating Your First Python Program

Chapter 3: Python Main Function

Chapter 4: Variables

Chapter 5: Strings

Chapter 6: TUPLE

Chapter 7: Python Dictionary

Chapter 8: Operators

Chapter 9: Functions

Chapter 10: IF Statement

Chapter 11: Loops

Chapter 12: Class & Objects

Chapter 13: Regular Expressions

Chapter 14: Date, time and datetime classes in Python

Chapter 15: Calendar

Chapter 16: Reading and Writing Files in Python

Chapter 17: If File or Directory Exists

Chapter 18: Python Arrays

Chapter 19: Python List

Chapter 20: Python String Methods

Chapter 21: Python Built-in Functions and Lambdas

Chapter 22: Python COPY File

Chapter 23: Python Rename File

Chapter 24: Python ZIP file

Chapter 25: Accessing Internet Data with Python

Chapter 26: Manipulating XML with Python

Chapter 27: Print Without a Newline

Chapter 28: Importing Modules

Chapter 29: Exception Handling

Chapter 30: Working with CSV Files

Chapter 31: From Python 2 to Modern Python 3.12+

Chapter 32: The Modern Python Toolchain

Chapter 33: AI-Assisted Python and the Modern Ecosystem

Chapter 34: Capstone: Building a Modern Python CLI Application

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E-raamat: 12. november 2021