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Version: 0.5.4

__init__

data load tool (dlt) — the open-source Python library for data loading

How to create a data loading pipeline with dlt in 3 seconds:

  1. Write a pipeline script
import dlt
from dlt.sources.helpers import requests
dlt.run(requests.get("https://pokeapi.co/api/v2/pokemon/").json()["results"], destination="duckdb", table_name="pokemon")

  1. Run your pipeline script

    $ python pokemon.py

  2. See and query your data with autogenerated Streamlit app

    $ dlt pipeline dlt_pokemon show

Or start with our pipeline template with sample PokeAPI (pokeapi.co) data loaded to bigquery

$ dlt init pokemon bigquery

For more detailed info, see https://dlthub.com/docs/getting-started

TSecretValue​

When typing source/resource function arguments it indicates that a given argument is a secret and should be taken from dlt.secrets.

TCredentials​

When typing source/resource function arguments it indicates that a given argument represents credentials and should be taken from dlt.secrets. Credentials may be a string, dictionary or any other type.

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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