Installation
Setting up your environment
1. Make sure you are using Python 3.8-3.12 and have pip installed
python --version
pip --version
If you have a different python version installed or are missing pip, follow the instructions below to update your python version and/or install pip.
- Ubuntu
- macOS
- Windows
You can install Python 3.10 with apt.
sudo apt update
sudo apt install python3.10
sudo apt install python3.10-venv
On MacOS you can use Homebrew to install Python 3.10.
brew update
brew install python@3.10
After installing Python 3.10 (64-bit version) for Windows, you can install pip.
C:\> pip3 install -U pip
2. Set up and activate a virtual environment for your python project
We recommend working within a virtual environment when creating python projects. This way all the dependencies for your current project will be isolated from packages in other projects.
- Ubuntu
- macOS
- Windows
Create a new virtual environment in your working folder. This will create an ./env directory where your virtual environment will be stored:
python -m venv ./env
Activate the virtual environment:
source ./env/bin/activate
Create a new virtual environment in your working folder. This will create an ./env directory where your virtual environment will be stored:
python -m venv ./env
Activate the virtual environment:
source ./env/bin/activate
Create a new virtual environment in your working folder. This will create an ./env directory where your virtual environment will be stored:
C:\> python -m venv ./env
Activate the virtual environment:
C:\> .\env\Scripts\activate
3. Install dlt library
You can now install dlt in your virtual environment by running:
# install the newest dlt version or upgrade the exisint version to the newest one
pip install -U dlt
Other installation examples:
# install dlt with support for duckdb
pip install "dlt[duckdb]"
# install dlt version smaller than 0.5.0
pip install "dlt<0.5.0"
3.1. Install dlt via Pixi or Conda
Install dlt using pixi:
pixi add dlt
Install dlt using conda:
conda install -c conda-forge dlt
4. Done!
You are now ready to build your first pipeline :)