Python
Mathematical codes that individuals encounter throughout life
We all encounter a lot of mathematical data throughout our lives. Some of it is important, some is trivial. For example, we never forget our shoe size or our postcode. Our height and weight may change over time, but we always have a rough idea. Sometimes we might even forget our wedding anniversary, yet it still lingers somewhere in our memory.
Here’s a simple Python code that reflects this everyday mathematics:
The Birth of Python: A Christmas Holiday, One Man, and an Eternal Love Story
On February 20, 1991, the world quietly said “hello” to what would become the most beautiful programming language in history.
But the real story began in December 1989, on a cold winter night in the Netherlands.
One Man Alone: Guido van Rossum
Working at the CWI research institute in Amsterdam, Guido was using a teaching language called ABC. It wasn’t bad, but something was missing:
*The syntax was clunky,
*Working with files was painful,
*Rapid prototyping felt almost impossible.
Christmas 1989 arrived. The office was empty. Everyone was with their families.
Guido was at home… and bored.
“I’ll just write a better one,” he said to himself.
And he sat down at the keyboard.
1991: Python Enters the World
On February 20, 1991, Python 0.9.0 was released.
The name didn’t come from a snake—it came from Guido’s obsession with the British comedy group Monty Python’s Flying Circus.
His only goal:
Coding should be fun and readable.
That’s why he wrote the legendary 19-line “Zen of Python.”
Even today, just type import this and you’ll see it:
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Readability counts.
The Journey
*1994 → Python 1.0
*2000 → Python 2.0 (Guido became “Benevolent Dictator for Life” – BDFL)
*2008 → Python 3.0 (the big breaking change—everyone clung to 2 for years)
*2018 → Guido stepped down, retiring the BDFL title
*2025 → Python dominates TIOBE, Stack Overflow, GitHub, and PYPL rankings
Where Is Python Today?
*Google, NASA, Instagram, Netflix, Spotify, Dropbox → 70%+ Python
*The entire AI/ML ecosystem (TensorFlow, PyTorch, scikit-learn) → 100% Python-powered
*Fintech giants (Stripe, Revolut, Robinhood, Wise) → their backends run on Python
In the End
Python was born because one man, on a lonely Christmas holiday, decided: “I can write something better.”
Today, billions of lines of code, millions of developers, and countless unicorns owe their existence to that single decision.
Every time we write print("Hello, World!"),
we’re actually thanking Guido for that cold December night 35 years ago.
Python isn’t just a programming language.
It’s a love letter.
And that letter is still being written—
line by line, project by project, in every new beginning
Python
Python
Python
Python
Python
Python
Python: The Invisible King of Fintech
When people talk about fintech, they mention sleek apps, blockchain, and artificial intelligence. Yet the real hero behind the revolution almost never gets the spotlight: Python.
As of 2025, more than 85% of the world’s leading fintech companies build their critical infrastructure with Python. Here are the living proofs:
*Stripe → The heart of its payment engine runs on Python
*Revolut → Entire backend for 45+ million users: Python
*Robinhood → Zero-commission trading engine: 100% Python
*Klarna → BNPL giant, all risk and fraud models in Python
*Plaid → Open-banking connections to 12,000+ banks: Python
*Nubank → Latin America’s 100-million-user unicorn, data science & fraud: Python
*Coinbase, Kraken, Gemini → Internal trading tools and risk systems: Python
*Adyen (powers Spotify, Uber, Netflix payments) → Heavily Python-based
*Monzo, N26, Chime, Wise → Core banking systems: Python
Why Python keeps winning
1.Fastest prototyping on the planet – from idea to live product in days, not quarters
2.The richest financial ecosystem: Pandas, NumPy, FastAPI, ccxt, web3.py, scikit-learn, PyTorch… everything you need is one pip install away
3.Even Wall Street surrendered: JPMorgan Athena, Goldman Sachs risk engine, Jane Street quant teams → 90%+ Python
4.From DeFi and crypto to BNPL and embedded finance, every new trend speaks the same language
Your 2025 Career Action Plan
If you want to be part of fintech in 2025, there is only one requirement: master Python.
Do these today:
*Become fluent in FastAPI, Pandas, ccxt, and scikit-learn/XGBoost
*Add these three projects to your portfolio: a trading bot, a payment microservice (FastAPI), and a real-time fraud-detection model
*Put “Python | Fintech | Open Banking | DeFi” in your LinkedIn headline
*Target roles in real-time payments, fraud & AML, or embedded finance
In 2025, everyone who’s making it big in fintech says the same thing:
“I can build anything with Python.”
From Stripe to Nubank, they all live by that sentence.
Now it’s your turn.
Goodbye old world, hello billion-dollar future.
