deweypy 0.8.0

A Python client for Dewey Data (https://deweydata.io/).

deweypy

Dewey Data Python Client

Getting Started

To download your data using the Dewey Data Python Client, follow these steps in your command line or terminal:

1. Install the client

pip install deweypy

2. Make a directory for your downloads

mkdir dewey-downloads/

3. Locate FOLDER_ID

FOLDER_ID can be extracted from the end of the end of the API URL after data/

4. Run client

python -m deweypy --api-key <YOUR_API_KEY> speedy-download <FOLDER_ID>

A few notes...

• For now, please use the CLI to download data. This method is well tested; notebook support will be available soon.
• Increasing the number of workers for multi-threaded downloads yields diminishing returns, as API requests are limited both by our bucket’s rate limits and your own. We recommend the default of 8 workers, but you can override this with: --num-workers <INT> following speedy-download <FOLDER_ID>.
• If your dataset is date-partitioned, you can limit the data processed by specifying partition boundaries at the end of your command:

--partition-key-before YYYY-MM-DD --partition-key-after YYYY-MM-DD

• --partition-key-before includes all partitions up to and including the given date.
• --partition-key-after includes all partitions from and including the given date onward.

Working with data post-download

For guidance on analyzing your downloaded data, check out the provided notebook tutorial. It demonstrates how to work with Polars, Pandas, and DuckDB, and includes methods for exporting data to Parquet format for more efficient downstream analysis.