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This is meant to be a quick guide to help people install python onto their machines.

I will note that this guide was written to be used by either Windows or Mac users. If you are on Linux, you can use the following to help you install python. (Although, I fear it may be a tad out of date)

https://docs.python-guide.org/starting/install3/linux/
If you are using something other than Windows, Linux or Mac … god speed!

Finding your installer online

This website should take you through the process of finding and downloading the python installer for your operating system.

https://www.python.org/downloads/

There is a 95% chance that your operating system is 64 bits, but just in case you want to check, for windows you can go to your settings page and check the system > about section to find out concretely.

(Note, if you accidentally download the 32 bit version, when you have the 64 bit version, it is fine but it will impact performance.)

The instillation process

After you download Python, you should find an installer program somewhere on your computer.

The name and version will vary based upon which version of Python you choose to download and what architecture you are using, but that is irrelevant.

Double click the installer to run it, it should open up a window which looks like the following.

Make sure to select the option to add python.exe to PATH. If you do not do this the first time you run through, there are many ways to fix this listed below.

After that, you can happily click “Install Now” to install it onto your machine

Ensuring that it worked

Python needs to work on your command line. To test this, open a terminal

Once you open it, it should look vaguely like this

Type the command python --version and hit enter to ensure that Python is installed on your machine

After this, type the command pip --version to ensure that pip is installed on your machine

Congratulations! you have successfully installed python

Virtual Environments

Many projects make use of libraries. There are packaged programs which can be used by others for various purposes. For instance, many people make use of the library NumPy to perform complex mathematical operations.

As a result, every project has its own list of dependencies that the user is responsible for installing. However, this can become onerous to track and accurately document. It is also very difficult to separate out the dependencies that are truly required for a project from the full set of everything installed on your system.

Virtual Environments exist to solve this problem. They create a local environment where you can install dependencies as needed during development. Afterwards, one may simply check the list of dependencies installed locally to determine the requirements of the project.

To install the virtual environment library, execute the following command in your command line

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