Why Python

October 2010 — two engineers, 13 photos, and a language nobody expected

When Kevin Systrom and Mike Krieger launched Instagram, they had no engineering army. No billion-dollar budget. Just two people, a tight deadline, and a choice to make: what programming language should power the app that would eventually serve over two billion users?

They chose Python.

Not because it was the fastest language. Not because it was the trendiest. Because two engineers could build a working product in weeks instead of months. Instagram's entire backend — user accounts, photo uploads, feeds, search — ran on Python and a framework called Django. When Facebook acquired Instagram for $1 billion in 2012, the team was still only 13 people. The codebase was still Python.

That is the superpower of Python: it lets you build real things, fast, even if you are just getting started.

What exactly is Python?

Think of a programming language like a human language — it is a way to give instructions that a computer can understand. English lets you communicate with people. Python lets you communicate with machines.

But unlike most programming languages, Python was designed from day one to be readable. Its creator, Guido van Rossum, named it after Monty Python's Flying Circus (yes, the comedy show) and wanted programming to feel less like deciphering hieroglyphics and more like reading plain English.

Compare a simple task — printing "Hello, World!" — in three languages:

// Java
public class HelloWorld {
    public static void main(String[] args) {
        System.out.println("Hello, World!");
    }
}

// C
#include <stdio.h>
int main() {
    printf("Hello, World!\n");
    return 0;
}

# Python
print("Hello, World!")

One line. No boilerplate. No semicolons. No curly braces. That is Python.

Who uses Python — and for what?

Python is not a niche tool. It is the Swiss Army knife of programming. Here are some of the things people build with it every day:

There Are No Dumb Questions

"Is Python too slow for real applications?"

Python is slower than C or Java at raw computation, yes. But for 95% of tasks, it is fast enough — and the time you save writing and debugging code more than makes up for it. Instagram serves billions of requests per day in Python. When speed is critical, Python calls fast C libraries under the hood (this is how numpy and pandas work). You get Python's simplicity with C's speed where it matters.

"Do I need to be good at math to learn Python?"

No. Programming is about logic, not calculus. If you can follow a recipe (first do this, then do that, if this happens do something else), you can program. Math helps in specific domains like data science, but basic Python requires zero math beyond arithmetic.

Setting up your environment

Time to stop reading and start doing. You need three things: Python itself, a code editor, and a terminal.

The Python philosophy — why it feels different

Python has an actual design philosophy. Type import this into a Python terminal and you get "The Zen of Python" — 19 guiding principles. The ones that matter most for you right now:

• Beautiful is better than ugly — write clean, readable code
• Simple is better than complex — do not overcomplicate things
• Readability counts — code is read far more often than it is written
• There should be one obvious way to do it — Python avoids giving you five confusing ways to do the same thing

This is why Python code looks clean. Other languages let you write cryptic one-liners that nobody can read. Python's culture actively discourages that.

There Are No Dumb Questions

"What is the difference between Python 2 and Python 3?"

Python 2 reached end-of-life on January 1, 2020. It is dead. Do not learn it, do not use it, do not install it. Every modern tutorial, library, and job uses Python 3. If you see a tutorial using print "hello" (without parentheses), it is Python 2 — close that tab and find a newer resource.

"Can I learn Python on my phone or tablet?"

You can practice basic syntax using apps like Replit or Pythonista, but to actually learn programming, you need a proper setup — a real keyboard, a code editor, and a terminal. Programming is a craft. You would not learn carpentry by watching videos on your phone.

<classifychallenge xp="25" title="Match the Python Use Case" items={["Instagram serves 2 billion users with Django","A data analyst builds a sales dashboard with pandas","OpenAI trains ChatGPT on GPU clusters","An IT admin renames 10,000 files in 3 seconds","NASA processes images from the Mars rover","Goldman Sachs models portfolio risk"]} options={["Web Development","Data Analysis","AI / Machine Learning","Automation","Science","Finance"]} hint="Each item maps to one domain from the table above. Instagram uses Django (web), pandas is for data analysis, ChatGPT is AI/ML, renaming files is automation, Mars rover images are science, and portfolio risk is finance.">

What you will build in this course

By the end of these 8 modules, you will go from zero to writing a complete Python project that reads real data, cleans it, analyzes it, and produces visualizations. Here is the roadmap:

Each module builds on the last. By module 8, every concept comes together in a real project you can show to employers.

Back to Instagram

Kevin Systrom and Mike Krieger did not pick Python because it was trendy. They picked it because two people could ship a real product in weeks. Instagram still runs on Python today — serving over two billion users with Django and a codebase that started with those same 13 photos.

By the end of this track, you will have built your own Python project from scratch. It will not serve two billion users, but it will prove you can take a messy dataset, clean it, analyze it, and turn it into insights. That is the same skill that got Instagram built — and the same skill that gets people hired.

Next up: In the next module, you will learn how Python stores information — variables and data types. You will build a tip calculator and discover why "42" and 42 are completely different things.

Key takeaways

• Python powers Instagram, Netflix, NASA, and most AI/ML work — it is the world's most popular programming language for a reason
• Readability is Python's superpower — code that looks like English means you spend less time debugging and more time building
• You need three things to start: Python 3.12+, VS Code with the Python extension, and a terminal — setup takes under 10 minutes
• Python is the #1 first language at top universities — if you are starting from zero, you picked the right language
• "Add Python to PATH" — check that box during installation or nothing will work in your terminal
• Python 2 is dead — only learn Python 3, ignore any resource that uses Python 2 syntax