Python is a versatile programming language that can be used for many different programming projects. First published in 1991 with a name inspired by the British comedy group Monty Python, the development team wanted to make Python a language that was fun to use. Easy to set up, and written in a relatively straightforward style with immediate feedback on errors, Python is a great choice for beginners and experienced developers alike. Python 3 is the most current version of the language and is considered to be the future of Python.
This tutorial will guide you through installing Python 3 on your local Windows 10 machine and setting up a programming environment via the command line.
You will need a Windows 10 computer with administrative access that is connected to the internet.
We’ll be completing most of our installation and setup on a command-line interface, which is a non-graphical way to interact with your computer. That is, instead of clicking on buttons, you’ll be typing in text and receiving feedback from your computer through text as well. The command line, also known as a shell, can help you modify and automate many of the tasks you do on a computer every day, and is an essential tool for software developers.
PowerShell is a program from Microsoft that provides a command-line shell interface. Administrative tasks are performed by running cmdlets, which are pronounced command-lets, specialized classes of the .NET software framework that can carry out operations. Open-sourced in August 2016, PowerShell is now available across platforms, for both Windows and UNIX systems (including Mac and Linux).
To find Windows PowerShell, you can right-click on the Start menu icon on the lower left-hand corner of your screen. When the menu pops up, you should click on “Search,” then type “PowerShell” into the search bar. When you are presented with options, right-click on “Windows PowerShell,” the Desktop app. For our purposes, we’ll select “Run as Administrator.” When you are prompted with a dialogue box that asks “Do you want to allow this app to make changes to your PC?” click on “Yes.”
Once you do this, you’ll see a text-based interface that has a string of words that looks like this:
We can switch out of the system folder by typing the following command:
- cd ~
Then we’ll be in a directory such as
To continue with our installation process, we are going to set up some permissions through PowerShell. Configured to run in the most secure mode by default, there are a few levels of permissions that you can set up as an administrator:
We are going to use the RemoteSigned execution policy to set the permission for the current user that allows the PowerShell to accept downloaded scripts that we trust without making the permissions as broad as they would be with an Unrestricted permission. In the PowerShell, let’s type:
- Set-ExecutionPolicy -Scope CurrentUser
PowerShell will then prompt us to provide an execution policy, and since we want to use RemoteSigned, we’ll type:
Once we press
enter we’ll be asked if we do want to change the execution policy. Type the letter
y for “yes,” and allow the changes to take effect. We can confirm that this worked by asking for the current permissions across the machine by typing:
- Get-ExecutionPolicy -List
You should receive output that looks something like this:
OutputScope ExecutionPolicy ----- --------------- MachinePolicy Undefined UserPolicy Undefined Process Undefined CurrentUser RemoteSigned LocalMachine Undefined
This confirms that the current user can run trusted scripts downloaded from the internet. We can now move on to downloading the files we will need to set up our Python programming environment.
A package manager is a collection of software tools that work to automate installation processes that include the initial installation, upgrading and configuring of software, and removing software as needed. They keep software installations in a central location and can maintain all software packages on the system in formats that are commonly used.
Chocolatey is a command-line package manager built for Windows that works like
apt-get does on Linux. Available in an open-source version, Chocolatey will help you quickly install applications and tools, and we will be using it to download what we need for our development environment.
Before we install the script, let’s read it to confirm that we are happy with the changes it will make to our machine. To do this, we will use the .NET scripting framework to download and display the Chocolatey script within the terminal window. We’ll create a WebClient object called
$script (you can call it whatever you want as long as you use
$ as the first character), that shares Internet connection settings with Internet Explorer:
- $script = New-Object Net.WebClient
Let’s look at the options that we have available to us by piping the object to the
Get-Member class to return all members (properties and methods) of this WebClient object:
- $script | Get-Member
. . . [secondary_label Snippet of Output] DownloadFileAsync Method void DownloadFileAsync(uri address, string fileName), void DownloadFileAsync(ur... DownloadFileTaskAsync Method System.Threading.Tasks.Task DownloadFileTaskAsync(string address, string fileNa... DownloadString Method string DownloadString(string address), string DownloadString(uri address) #method we will use DownloadStringAsync Method void DownloadStringAsync(uri address), void DownloadStringAsync(uri address, Sy... DownloadStringTaskAsync Method System.Threading.Tasks.Task[string] DownloadStringTaskAsync(string address), Sy… . . .
Looking over the output, we can identify the
DownloadString method that we can use to display the script and signature in the PowerShell window. Let’s implement this method:
After we inspect the script, we can install Chocolatey by typing the following into PowerShell:
- iwr https://chocolatey.org/install.ps1 -UseBasicParsing | iex
Invoke-WebRequest allows us to extract data from the web. This will pass the script to the
Invoke-Expression cmdlet, which will execute the contents of the script, running the installation script for the Chocolatey package manager.
Allow PowerShell to install Chocolatey. Once it is fully installed, we can begin installing additional tools with the
If we need to upgrade Chocolatey at any time in the future, we can run the following command:
- choco upgrade chocolatey
With our package manager installed, we can go on to install the rest of what we need for our Python 3 programming environment.
We are now going to install nano, a text editor that uses a command line interface, which we can use to write programs directly within PowerShell. This is not a compulsory step, as you can alternatively use a text editor with a graphical user interface such as Notepad, but nano will get us more accustomed to using PowerShell.
Let’s use Chocolatey to install nano:
- choco install -y nano
Here we used the
-y flag so that we confirm automatically that we want to run the script without being prompted.
Once nano is installed, we will be able to use the
nano command to create new text files and will eventually use it to write our first Python program.
Just like we did with nano above, we will use Chocolatey to install Python 3:
- choco install -y python3
PowerShell will now install Python 3, generating output within PowerShell during that process.
Once the process is completed, you should see the following output:
OutputEnvironment Vars (like PATH) have changed. Close/reopen your shell to See the changes (or in powershell/cmd.exe just type 'refreshenv'). The install of python3 was successful. Software installed as 'EXE', install location is likely default. Chocolatey installed 1/1 packages. 0 packages failed. See the log for details (C:\ProgramData\chocolatey\logs\chocolatey.log).
With the installation finished, you’ll want to confirm that Python is installed and ready to go. To see the changes, use the command
refreshenv or close and re-open PowerShell as an Administrator, then check the version of Python available to you on your local machine:
- python -V
You should get output such as:
Alongside Python, pip will be installed, which will manage software packages for Python. Let’s ensure that pip is up-to-date by upgrading it:
- python -m pip install --upgrade pip
With Chocolatey, we can call Python 3 with the
python command. We will use the
-m flag to run the library module as a script, terminating the option list, and from there use
pip to install its upgrade.
Once Python is installed and pip updated, we can set up a virtual environment for our development projects.
Now that we have Chocolatey, nano, and Python installed, we can go on to create our programming environment with the venv module.
Virtual environments enable you to have an isolated space on your computer for Python projects, ensuring that each of your projects can have its own set of dependencies that won’t disrupt any of your other projects.
Setting up a programming environment provides us with greater control over our Python projects and over how different versions of packages are handled. This is especially important when working with third-party packages.
You can set up as many Python programming environments as you want. Each environment is basically a directory or folder in your computer that has a few scripts in it to make it act as an environment.
Choose which directory you would like to put your Python programming environments in, or create a new directory with
mkdir, as in:
- mkdir Environments
- cd Environments
Once you are in the directory where you would like the environments to live, you can create an environment by running the following command:
- python -m venv my_env
python command, we will run the
venv library module to create the virtual environment that in this case we have called
venv sets up a new directory that contains a few items which we can view with the
- ls my_env
OutputMode LastWriteTime Length Name ---- ------------- ------ ---- d----- 8/22/2016 2:20 PM Include d----- 8/22/2016 2:20 PM Lib d----- 8/22/2016 2:20 PM Scripts -a---- 8/22/2016 2:20 PM 107 pyvenv.cfg
Together, these files work to make sure that your projects are isolated from the broader context of your local machine, so that system files and project files don’t mix. This is good practice for version control and to ensure that each of your projects has access to the particular packages that it needs.
To use this environment, you need to activate it, which you can do by typing the following command that calls the activate script in the
Your prompt will now be prefixed with the name of your environment, in this case it is called my_env:
This prefix lets us know that the environment my_env is currently active, meaning that when we create programs here they will use only this particular environment’s settings and packages.
Now that we have our virtual environment set up, let’s create a simple “Hello, World!” program. This will make sure that our environment is working and gives us the opportunity to become more familiar with Python if we aren’t already.
To do this, we’ll open up nano and create a new file:
- nano hello.py
Once the text file opens up in Terminal we’ll type out our program:
Exit nano by typing the
x keys, and when prompted to save the file press
y then the
Once you exit out of nano and return to your shell, let’s run the program:
- python hello.py
The hello.py program that you just created should cause Terminal to produce the following output:
To leave the environment, simply type the command
deactivate and you will return to your original directory.
Congratulations! At this point you should have a Python 3 programming environment set up on your local Windows 10 machine and can begin a coding project!
To set up Python 3 on another computer, follow the local programming environment guides for Ubuntu 16.04, Debian 8, CentOS 7, or macOS. You can also read about installing Python and setting up a programming environment on an Ubuntu 16.04 server, which is especially useful when working on development teams.
With your local machine ready for software development, you can continue to learn more about coding in Python by following “Understanding Data Types in Python 3” and “How To Use Variables in Python 3”.
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