Python
Learn Python in 24 Hours
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- ¥1,600
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- ¥1,600
Publisher Description
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 COPY File
Chapter 19: Python Rename File
Chapter 20: Python ZIP file
Chapter 21: Accessing Internet Data with Python
Chapter 22: Manipulating XML with Python