Python is a powerful programming language widely used in many different applications today. If you’re new to Python or looking to increase your skills in this language, one great way to do so is by using a Ubuntu virtual machine. This blog post will show you how to use Ubuntu virtual machine python running Ubuntu 22.04 using the free VirtualBox software.
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What is Ubuntu?
On desktops and laptops, Ubuntu is an operating system that is free and open-source and based on Debian.
Ubuntu has many applications and features, making it an excellent choice for many users.
What is a Virtual Machine?
A virtual machine (VM) in computing simulates a computer system. The functionality of a physical computer is provided by virtual machines, which are built on computer architectures.
Their use may necessitate specialized hardware, software, or a combination.
Virtual machines have many uses, such as running different operating systems (OSes), simulating different computer architectures, or providing isolated environments for security purposes.
Why use a virtual machine for Python?
While you can install Python directly on your computer, we recommend using a virtual machine for two reasons:
- It makes it easier to manage different versions of Python (you can have multiple virtual machines, each with a different version of Python), and
- It makes it easier to share your Python environment with others (since the virtual machine is a self-contained unit).
How to set up an Ubuntu virtual machine for Python
If you want to use an Ubuntu virtual machine for Python development, there are a few things you need to do to set it up. Here’s a quick guide:
- Install Ubuntu on your virtual machine. You can find instructions for doing this here:
- Open a terminal after installing Ubuntu, then enter the command to install Python 3: sudo apt-get install python3
- Now that Python 3 is installed, you can begin developing your Python applications on your Ubuntu virtual machine.
How to use the Ubuntu virtual machine for Python
Python is a universal language you can use on the Ubuntu virtual machine.
On December 3, 1989, Guido van Rossum developed the high-level, interpreted, general-purpose programming language called Python.
It works because there is only one way to accomplish it: its central design principle.
- First, we need to install the Ubuntu virtual machine.
- Next, we must install the tools and libraries necessary for Python development. We will be using the Python 3 programming language in this guide.
- To install the required tools and libraries, open a terminal and enter the following command:
Install pip3
sudo apt-get install -y python3-pipto install package
pip3 install package_namesetup a few more packages and development tools
sudo apt-get install build-essential libssl-dev libffi-dev python-devinstall venv module
sudo apt-get install -y python3-venvcreate an environment
python3 -m venv project_envWhat are some useful Python tools and libraries?
Python is a popular high-level interpreted language well-known for being user-friendly and readable.
Python is a well-liked language for various purposes, including web development, scientific computing, data analysis, and artificial intelligence.
The Python ecosystem is rich with tools and libraries that can be used to extend the language and build robust applications.
Python Tools
The Python standard library comprises modules bundled with the Python interpreter. The standard library includes many modules that can be used for different purposes, including working with strings, numbers, dates, files, and more.
In addition to the standard library, many other libraries can be installed to extend the functionality of Python. Some of the most popular libraries include:
NumPy: A powerful numerical computing library that enables efficient operations on large arrays and matrices.
SciPy: A library for scientific computing that offers instruments for signal processing, linear algebra, and numerical optimization, among other things.
Pandas: A data analysis library that provides data manipulation, research, and visualization tools.
matplotlib: A plotting library for creating static or interactive visualizations.
Bokeh: A plotting library for creating interactive visualizations in web browsers.
TensorFlow: A machine learning platform that enables developers to build custom models to perform tasks such as image classification or object detection.
Conclusion:
In conclusion, using an Ubuntu virtual machine is a great way to run Python scripts. It is easy to set up and provides a robust and reliable environment to execute code.
