Installing Python and pip
To check that Python and the pip package manager are already installed in your environment, you can run:
python --version pip --version
If you're running Python 3.3 or later, you already have the venv package for managing virtualenvs. On Python 2.7, you can check whether you have the virtualenv tool installed by running:
If these tools aren't present on your system, you can install them as follows:
Installing Python on Ubuntu
sudo apt update sudo apt install python3-dev python3-pip
This will install Python 3 and pip on your system.
Installing Python on macOS
brew update brew install python # Python 3
This will install Python 3 on your system.
If you are using the macOS-provided Python 2.7, you can install virtualenv with:
sudo pip install -U virtualenv # system-wide install
Installing Python on Windows
- Install the Microsoft Visual C++ 2015 Redistributable Update 3.
This comes with Visual Studio 2015 but can be installed separately
- Go to the Visual Studio downloads,
- Select Redistributables and Build Tools,
- Download and install the Microsoft Visual C++ 2015 Redistributable Update 3.
- Install the 64-bit Python 3 release for Windows (select
pipas an optional feature).
To use the
dagit tool, you will also need to install
Notes on Python virtualenvs
We strongly recommend installing dagster inside a Python virtualenv.
If you are running Anaconda, you should install dagster inside a Conda environment.
To create a virtual environment on Python 3, you can just run:
python3 -m venv ~/.venvs/dagster
This will create a new Python environment whose interpreter and libraries are isolated from those installed in other virtual environments, and (by default) any libraries installed in a "system" Python installed as part of your operating system.
On Python 2, you can use a tool like virtualenvwrapper to manage your virtual environments, or just run:
You'll then need to 'activate' the virtualenvironment, in bash by running:
(For other shells, see the venv documentation.)
If you are using Anaconda, you can run:
conda create --name dagster
And then, on macOS or Ubuntu:
source activate dagster
Or, on Windows: