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Version: 1.4.1 (latest)

__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.

TSecretStrValue

When typing source/resource function arguments it indicates that a given argument is a secret STRING 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!

DHelp

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