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Version: 1.0.0 (latest)

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.

You can install Python 3.10 with apt.

sudo apt update
sudo apt install python3.10
sudo apt install python3.10-venv

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.

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

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 with dlt. Check out these tutorials to get started:

Or read a more detailed tutorial on how to build a custom data pipeline with dlt.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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