📝 Picking a code editor
In this class, we recommend using VSCode as your code editor. If you want to use a different editor, that's totally fine, but we may not be able to help you with specific issues you run into. Another popular editor that is specific to Python is PyCharm.
💻 Development
For Windows users:
This development guide was written with macOS and Linux users in mind.
We recommend using Windows Subsystem for Linux (WSL) for development on Windows systems. This is a Microsoft-made tool which allows you to run a lightweight Linux system inside Windows, making your developer experience more convenient. If you install it, you can follow the rest of this guide as written using WSL.
It's not required to use WSL, but it will make your life a LOT easier. It's also going to be harder for the Staff to help you through any issues you run into if you're not using WSL.
Pyenv
Pyenv is a great tool that allows us to manage multiple Python versions on our device. This is sometimes necessary since different projects might be on different versions.
If you have brew
, you can installpyenv
with the following command:
brew update
brew install pyenv
If you don't have brew
, you should get it 🙃... It's a fairly popular package manager for macOS and Linux systems!
If you choose not to get brew
, or you're on Windows, you can also use the automatic installer script provided by pyenv
:
curl https://pyenv.run | bash
You'll also want to set up your shell environment for Pyenv, which you can do by adding the following to your shell profile (.bashrc
, .zshrc
, etc.):
For .bashrc
:
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'command -v pyenv >/dev/null || export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo 'eval "$(pyenv init -)"' >> ~/.bashrc
For .zshrc
:
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.zshrc
echo '[[ -d $PYENV_ROOT/bin ]] && export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.zshrc
echo 'eval "$(pyenv init -)"' >> ~/.zshrc
After you've added this to your shell profile, you'll need to reload your shell profile by running source ~/.bashrc
or source ~/.zshrc
.
Note that these instructions are from a section on the pyenv README,
and they have more information on setting up pyenv
for different shells, including if you would like to add these commands to your shell profile automatically.
Poetry
In this class, we will be using poetry
as our package manager. It's much younger than pip
, which is the default package manager for Python, but it's much more powerful, and in my opinion, much easier to use.
To install poetry
, you can use the following command:
curl -sSL https://install.python-poetry.org | python3 -
If you are using Windows and not using WSL (or you just want more advanced installation options!), you can checkout the Poetry installation guide for more information.
In this class, all the assignments will have a pyproject.toml
file that will specify the dependencies for the project. You can install these dependencies by running poetry install
in the directory where the pyproject.toml
file is located.
During the assignment, you might want to use more dependencies than originally specified, and you can do that by running poetry add <package-name>
.
During these assignments, you should also run poetry shell
to activate the virtual environment that poetry
creates for you. This will allow you to run the scripts you write in the assignment.
Venv (optional information)
This will not be used in this class, but it's good to know about since it's fairly popular still. It's a module provided by Python that enables virtual environment creation. The main commands to know are:
# create the env
python3 -m venv {whatever_you_want_to_name_your_env}
# activate the env (similar to poetry shell)
source {whatever_you_want_to_name_your_env}/bin/activate
# once you're done with the env
deactivate
Note that there are SOOOOO many other ways to manage virtual environments including Pipenv, conda, and more. We're just going to be using poetry
in this class, but most of the other options are also quite similar.
Check out this funny StackOverflow post that was made over 7 years ago about the different virtual environment tools in Python. It's still relevant today!