Python Linux
Python is a popular programming language known for its simplicity and versatility. It is widely used for web development, data analysis, artificial intelligence, automation, and more. Python is supported on various operating systems, including Linux.
Linux is an open-source operating system that is based on the Linux kernel. It is widely used for servers, desktops, embedded systems, and other devices. Linux offers a wide range of distributions (or distros), such as Ubuntu, Debian, Fedora, CentOS, and many more, each tailored to different use cases and user preferences.
Python on Linux:
Installation: Most Linux distributions come with Python pre-installed. However, it is recommended to check the version and ensure it meets your requirements. You can also install Python manually if needed.
Package Managers: Linux has package managers (e.g., APT for Debian/Ubuntu, YUM/DNF for Fedora/CentOS) that make it easy to install Python packages and libraries from official repositories or third-party sources.
Virtual Environments: It is a good practice to use virtual environments to manage dependencies for different projects. Popular tools like
venv
orvirtualenv
can be used for this purpose.Running Python Scripts: Python scripts can be executed directly from the terminal using the
python
command, followed by the script’s filename. For example:python my_script.py
Shebang: On Linux, you can use the shebang at the beginning of your Python script to specify the Python interpreter path, allowing you to execute the script directly without explicitly invoking the Python interpreter. For example, at the top of your script, include:
javascript#!/usr/bin/env python
Integrated Development Environments (IDEs): There are various IDEs available for Linux that offer advanced features and a more streamlined development experience with Python. Some popular choices include Visual Studio Code, PyCharm, and Sublime Text.
Overall, Python and Linux complement each other well, making Linux an excellent choice for Python development due to its flexibility, security, and powerful command-line capabilities.
Python Training Demo Day 1
Conclusion:
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