In the world of technology, there is a programming language we often hear about: Python. So, what is Python, why is it talked about so much, and why do both beginners and professionals prefer this language? In this article, we explain in detail what Python is, why it has become so popular, and the fields where it is widely used.
What is Python?
Python is a high-level, object-oriented, interpreted programming language first developed in 1991 by Guido van Rossum. Its main goal is to be a language that is easy to read, simple, and beginner-friendly. Since the code syntax closely resembles English, it is an excellent starting language especially for those new to programming.
In short:
“Python is a language that is both easy to learn and unlimited in what you can do with it.”
Why is Python So Popular? (5 Main Reasons)
1. Simple and Readable Syntax
Python is written with the philosophy of “readable code.” It avoids confusing elements like semicolons and complex braces. The code almost reads like English:
pythonKopyalaDüzenlefor name in names:
print(name)
This simplicity makes learning easier and improves code sharing within teams.
2. Usable in Almost Every Field
Python is not just a “beginner’s language.” Today, it is actively used in many fields including:
- Artificial Intelligence and Machine Learning
- Data Science and Big Data
- Web Development (Django, Flask)
- Game Development
- Desktop and Mobile Applications
- Cybersecurity
3. Used by Major Companies
Google, YouTube, Netflix, Spotify, Instagram, Dropbox, NASA, and many others develop parts of their projects using Python. This has made Python a serious industry standard.
4. Large and Active Community
Python has a huge global community with millions of developers. This means you can find solutions to almost any problem you encounter. There are over 2 million Python-related questions on Stack Overflow alone.
5. Rich Libraries and Frameworks
Thanks to thousands of open-source libraries Python offers, you don’t have to write everything from scratch.
- Doing data analysis? → pandas, NumPy
- Developing artificial intelligence? → TensorFlow, PyTorch
- Writing web applications? → Flask, FastAPI, Django
