Python is one of the most popular programming languages in the world. It is known for its clear syntax, good readability and large ecosystem of libraries. For many beginners, Python is one of the easiest languages to start with, but it is also widely used in professional environments.
A short history of Python
Python was created by Guido van Rossum and first released in 1991. The idea was to build a language that is powerful, but still easy to read and write. The name “Python” does not come from the snake, but from the British comedy group Monty Python.
Over the years, Python became popular in many areas: web development, automation, Linux system administration, data science, artificial intelligence, scripting, education and security research.
Why Python is popular
Python is often recommended because the code is easy to understand. A simple example:
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print("Hello from tux.re!")
What Python is especially good for
- Learning programming – Python is beginner-friendly and easy to read.
- Linux scripting – useful for automation, backups, log parsing and server tasks.
- Web development – with frameworks such as Django, Flask and FastAPI.
- APIs and backend services – good for REST APIs, automation tools and internal services.
- Data analysis – with libraries such as pandas, NumPy and matplotlib.
- Artificial Intelligence and Machine Learning – widely used with TensorFlow, PyTorch and scikit-learn.
- Security tools – useful for testing, scanning, parsing data and writing small admin tools.
- DevOps and automation – often used together with Linux, Docker, Ansible and cloud systems.
Python is especially useful on Linux systems. Many distributions already include Python or provide it through the package manager.
On Debian or Ubuntu, you can install Python with:
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sudo apt update
sudo apt install python3 python3-pip python3-venv
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python3 --version
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nano hello.py
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print("Hello, tux.re community!")
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python3 hello.py
- python3 – the Python interpreter.
- pip – package installer for Python libraries.
- venv – creates isolated project environments.
- Django – full web framework.
- Flask – lightweight web framework.
- FastAPI – modern API framework.
- pandas – data analysis.
- NumPy – scientific computing.
- Requests – HTTP client library.
- BeautifulSoup – HTML parsing and web scraping.
- Official Python website: https://www.python.org/
- Python documentation: https://docs.python.org/3/
- Python Package Index: https://pypi.org/
- Django: https://www.djangoproject.com/
- Flask: https://flask.palletsprojects.com/
- FastAPI: https://fastapi.tiangolo.com/