Python for People Who Don’t Code (Yet)

In this lecture, you’ll learn how to create variables in Python and understand the different types of data they can store. We’ll cover strings, integers, floats, and booleans, and you’ll see how Python decides what type each value is. You’ll also learn how to use print() to check your work and how to avoid common type-related errors. By the end of this lesson, you’ll be able to store information, identify its type, and display it clearly in your program.

In this lecture, you’ll learn how to use conditions to control the flow of your Python programs. We’ll cover if, elif, and else statements, along with comparison and logical operators. You’ll also explore how Python treats different values as “truthy” or “falsy,” even when they’re not explicitly True or False. By the end of this lesson, you’ll be able to write simple decision-making code that responds to different user input or data values.

In this lecture, you’ll learn how to repeat actions in Python using loops. We’ll cover while loops, for loops with range(), and tools like break and continue to control how loops behave. You’ll also get a clear explanation of how range() works and how to loop forward or backward through a sequence. By the end of this lesson, you’ll be able to write programs that repeat actions until a condition is met or for a set number of times—making your code more dynamic and efficient.

In this lecture, you’ll learn how to organize your code using functions. We’ll start with how to define a function using def, then explore how to pass in inputs with parameters and get results back using return. You’ll also see how scope keeps your variables safe and separate inside each function. By the end of this lesson, you’ll be able to write your own reusable functions that take input, perform a task, and return a result. The goal is to help you build cleaner, more flexible code.

In this lecture, you’ll learn how to work with two of Python’s most useful data types: lists and strings. We’ll start by showing how to create a list, access items using indexes, and use methods like append(), remove(), and sort() to manage and organize values. Then we’ll shift to strings and explore how they behave like lists of characters—allowing you to slice, inspect, and clean up text using tools like lower(), split(), and join(). By the end of this lesson, you’ll be able to confidently store, update, and transform both structured data and text in your programs.

In this lecture, you’ll learn how to make your programs more reliable by handling common errors. We’ll introduce try and except to catch problems like invalid user input and prevent your code from crashing. You’ll also learn how to target specific errors—like ValueError—and use simple debugging tips to better understand what your program is doing. To wrap it all up, you’ll build a final mini project: a text-based calculator that performs basic math and handles mistakes gracefully. By the end, you’ll be ready to write code that’s not just functional—but also resilient.