Learn to code with an Introduction to Python 3

🎓 Course Title: Learn to Code with an Introduction to Python 3

Headline: An introduction to Python 3 and interactive programming with Jupyter Notebooks

🚀 Course Overview: This course is your stepping stone into the world of coding, specifically tailored for beginners. We'll dive into the fundamentals of Python 3 using interactive Jupyter Notebooks and solidify your programming skills with hands-on practice in Pycharm, a powerful Integrated Development Environment (IDE).

📚 Getting Started: Right off the bat, you'll have access to all the course materials through our Github Repo, which includes Python code files, practice questions with solutions, and a beautifully formatted online book. The setup videos will guide you on how to navigate and utilize this wealth of resources.

Chapter 1: Intro To Python 🧙‍♂️

• 🔋 Interactive Python & Jupyter Notebooks: Learn the basics of Python in a fun, interactive way using Jupyter Notebooks.
• 💫 Print Function: Understand how to output data to the console.
• 📚 Strings and Variables: Get comfortable with text manipulation and assigning values.
• ✍🏼 Floats and Numerical Data Types: Learn about different types of numbers in Python.
• ✨ String Formatting with f-strings: Format strings dynamically.
• 🔁 Indexing and Slicing Strings: Manipulate strings to access parts or sequences of characters.
• ❓ Getting Input from a User: Interact with your code by taking user input.

Chapter 2: Control Flow 🛣️

• ✅ Boolean Data Type: Understand the logical foundation of Python.
• 🔄 Operators: Master comparison, logical, and membership operators.
• ☕️ if, elif, and else Statements: Conditional branching in Python.
• 📋 Lists: Explore lists, their methods, and how to use them effectively.
• ⏱️ for and while Loops & range() Function: Iterate through sequences and handle repetitive tasks.
• 🛑 break, continue, and pass Statements: Control the flow of your loops.
• ✅ More Python Basic Operators: Deep dive into modulus and compound assignment operators.

Chapter 3: Functions 🎭

• ✈️ Functions in Python: Explore the power of functions to structure and reuse code.
• 🔍 Built-in Functions: Discover a variety of functions that come with Python.
• 🚀 Defining Custom Functions: Create your own reusable code blocks.
• 🧩 Function Arguments & Return Statements: Pass data to and retrieve data from functions.
• 🔗 Importing Libraries: Learn how to bring additional functionalities into your scripts with import statements.

Chapter 4: Pycharm IDE & Virtual Environments 🏗️

• 🛠️ Pycharm IDE Setup: Get to know the popular and powerful development environment, Pycharm.
• 🏭 Creating Virtual Environments: Manage project dependencies with isolated Python environments.
• ⚙️ Using pip to Install Packages: Add libraries to your Python projects with ease.

Chapter 5: Truthy and Falsy Values, None Value, Exception Handling 🛎️

• ❗️ Truthy and Falsy in Python: Understand which values evaluate as true or false.
• 💬 The None Value: Learn about the null value in Python, None.
• 🚫 Exception Handling with try & Except: Master error handling to make your code more robust.

Chapter 6: Reading and Writing Files 📄

• 🗃️ File Operations: Learn how to read data from files and write data back.

Chapter 7: Introduction to Classes & Object-Oriented Programming (OOP) 🏰

• 🆘 Classes and Objects: Understand the building blocks of OOP in Python, including creating classes and instantiating objects.
• 🔄 Inheritance and Subclassing: Discover how to extend the functionality of existing classes.

By the end of this course, you'll have a solid foundation in Python programming, equipped with the skills to create your own projects, understand complex logic, manipulate data, and structure your code using classes and objects. Dive into the world of coding with confidence! 🚀💻