Autocodewizard Ebooks - Python Programming Essentials: A Beginner’s Guide to Code and Data
Chapter 1: Introduction to Python Programming
Get introduced to Python, a powerful and versatile programming language. Learn about its applications, advantages, and basic syntax.
Chapter 2: Python Basics – Data Types and Variables
Understand Python's fundamental data types and how to work with variables. Explore numeric, string, and boolean types for building blocks of your code.
Chapter 3: Operators and Expressions in Python
Explore Python operators, including arithmetic, comparison, and logical operators, to create expressions that form the logic of your programs.
Chapter 4: Control Flow – Conditionals
Learn how to control the flow of your code with conditional statements such as if, elif, and else.
Chapter 5: Loops – For and While
Understand loops in Python, including for and while loops, to repeat actions and iterate through data.
Chapter 6: Functions and Modularity
Learn how to write functions in Python to make your code reusable, modular, and easy to maintain.
Chapter 7: Working with Lists and Dictionaries
Discover Python's core data structures, lists and dictionaries, which allow you to store and manage collections of data effectively.
Chapter 8: File Handling in Python
Learn to work with files in Python, including reading from and writing to files, for data persistence and management.
Chapter 9: Error Handling and Debugging
Understand Python’s error handling mechanisms and learn debugging techniques to identify and fix issues in your code.
Chapter 10: Introduction to Modules and Packages
Explore Python’s modular approach to code organization with modules and packages, and learn to import and use standard libraries.
Chapter 11: Object-Oriented Programming (OOP)
Learn the basics of object-oriented programming in Python, including classes, objects, inheritance, and encapsulation.
Chapter 12: Working with APIs and JSON Data
Discover how to interact with APIs and handle JSON data, enabling your Python applications to connect with web services.
Chapter 13: Introduction to Data Analysis with Python
Get a beginner’s introduction to data analysis using Python, focusing on libraries like Pandas and NumPy for data manipulation.
Chapter 14: Building a Simple CLI Application
Apply your Python skills by creating a simple command-line application that performs useful tasks directly from the terminal.
Chapter 15: Final Project – Interactive Data Visualization
Combine your Python and data analysis skills to create an interactive data visualization project, visualizing real-world data.