python

It’s time to put theory into practice! Over the last several posts, we’ve learned about variables (Post #8), numbers (Post #9), and a whole suite of arithmetic operators (Post #12 and Post #13). Now, we’re going to combine all those concepts to build our very first tangible program: a simple calculator. This mini-project will take … Read more

In Post #12, we covered the four fundamental arithmetic operators that handle everyday calculations. But Python’s mathematical toolkit doesn’t stop there. It includes several advanced operators that allow us to solve more specific and interesting problems with ease. In this post, we’ll explore three of these powerful operators: floor division (//), the modulus operator (%), … Read more

In the last few posts, we’ve introduced the fundamental data types for numbers (Post #9), text (Post #10), and logic (Post #11). Now it’s time to put our number types, int and float, to work. One of the most basic tasks for any programming language is to perform calculations, and Python is excellent at it. … Read more

So far in our journey, we have learned how to work with numbers (int, float) in Post #9 and text (str) in Post #10. These data types are essential for storing information. But to create intelligent programs that can make decisions, we need a way to represent the concepts of ‘yes’ and ‘no’, ‘on’ and … Read more

In Post #9, we explored the world of numbers with integers and floats. These are essential for any kind of calculation, but programs aren’t just about crunching numbers. They need to communicate with people, process textual information, and handle human language. This is where Python’s string data type comes in. In this post, we’ll take … Read more

In Post #8, we learned that variables are like labeled boxes for storing data. We stored a number (100) and some text (“Alex”), hinting that Python treats different kinds of data differently. These different kinds are called data types. A data type simply tells Python what sort of data a variable is holding and what … Read more

So far, we’ve learned how to make Python display text directly with print(“Hello, World!”) in Post #5 and how to leave notes for ourselves with comments in Post #7. But to write truly useful programs, we need a way to store, label, and work with data. This is where variables come in. In this post, … Read more

Imagine looking at code you wrote six months ago. You know it works, but you have no idea why you wrote it a certain way or what a specific, complex line is supposed to do. This is a common problem, and Python has a simple, elegant solution: comments. In Post #6, we learned the strict … Read more

In Post #5, we successfully wrote and ran our first “Hello, World!” script. It was a simple, one-line program, but like any language, Python has rules of grammar—its syntax—that govern how we write more complex instructions. In this post, we’ll dissect the anatomy of a Python script to understand these foundational rules. We’ll focus on … Read more

The moment has arrived. Over the last three posts (Post #2, Post #3, and Post #4), we have diligently set up our development environments on Windows, macOS, and Linux. All that preparation, all that setup, leads directly to this: writing your very first line of Python code. In the world of programming, there is a … Read more