Dice Rolling Simulator. This is a classic and fun project that reinforces the use of the random module and introduces the concept of a continuous loop that waits for user input. First, here is the explanation of how the project is built.

Simple Countdown Timer. It's a fun way to learn about importing modules, using loops for timing, and handling user input more safely.

Simple Word Counter. This is a fantastic beginner project because it focuses on handling and manipulating text, a very common task in programming.

Web Scraping. This is the art of writing a script to automatically visit a website and extract specific information from its HTML structure. It's a powerful technique used for market research, price comparison, data journalism, and much more.

the kind of logic puzzles you'll encounter in technical interviews and real-world data manipulation tasks. We'll be finding patterns, reorganizing data, and building foundational algorithmic thinking skills.

This practice set focuses on four powerful tools that help you write more Pythonic code: List Comprehensions, Lambda Functions, map, and filter. These will allow you to perform complex operations on data with incredibly concise and elegant syntax.

An API is like a menu that a web service provides for us to request data. The data is usually returned in a format called JSON(JavaScript Object Notation), which looks very similar to Python dictionaries and lists. In this set, you'll learn how to parse JSON and make live API calls to fetch data from the internet, a crucial skill for any developer.

Exception Handling allows you to gracefully manage these errors instead of letting your program crash. By learning to use try, except, else, and finally, you can build resilient and user-friendly applications.

In this session, we'll build two of the most fundamental data structures from scratch using Python lists: the Stack (Last-In, First-Out) and the Queue (First-In, First-Out). Understanding these concepts is essential for solving a wide range of programming puzzles and real-world problems.

Welcome to Part 10 of our Python practice series! We're now moving from writing scripts to building structured programs. Object-Oriented Programming (OOP) is a paradigm for organizing code around "objects," which can be thought of as custom data types.

programs have worked only with data in memory, which disappears when the script ends. To make your applications truly powerful, you need to work with files. This allows you to save your results, read configuration settings, and process large amounts of data.

By learning how to import these modules, you can instantly gain new powers, from generating random numbers to performing complex math and working with dates. Let's explore how to use them!

Mastering functions is the single most important step to writing clean, organized, and efficient code. This practice set will guide you through defining functions, passing arguments, returning values, and understanding variable scope.

Python practice set! The absolute foundation of any programming language is understanding how to store and manage information. In Python, we do this with variables and data types. This workout is designed to solidify your understanding of core types like strings, integers, floats, lists, and dictionaries. Let's get started!

Here is a new set of Python questions focusing specifically on variables and data types.

Here are some Python coding questions ranging from beginner to intermediate levels to practice your skills.