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A library for fetching Algoseek datasets using SQL-like queries

Project description

Algoseek Connector

Documentation Status Pull request

A library to fetch and query data from Algoseek datasets using SQL-like queries. The library provides an easy-to-use pythonic interface to algoseek datasets with custom data filtering/selection. The following query operations on datasets are supported:

  • Selecting columns and arbitrary expressions based on columns
  • Filtering by column value/column expression
  • Grouping by column(s)
  • Sorting by column(s)
  • All common arithmetic, logical operations on dataset columns and function application
  • Fetching query results as a pandas DataFrame

Installation

algoseek-connector is available on the Python Package Index. Install it using the pip command:

pip install algoseek-connector

More detailed information is available in the getting started page in the library documentation.

Documentation

Documentation is available here.

Getting help

You can contact Algoseek support or check the project discussions

Reporting an issue

Your feedback is essential for improving Algoseek connector and making it more reliable. If you encounter a problem or bug, please report it using the repository's issue tracker.

Before submitting a new issue, please search the issue tracker to see if the problem has already been reported.

If your question is about how to achieve a specific task or use the library in a certain way, we recommend posting it in the GitHub Discussions section, rather than the issue tracker.

When reporting an issue, it's helpful to include the following details:

  • A code snippet that reproduces the problem.
  • If an error occurs, please include the full traceback.
  • A brief explanation of why the current behavior is incorrect or unexpected.

For guidance on how to write a clear and effective issue report, refer to this post.

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