Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://github.com/intake/awkward-pandas below:

intake/akimbo: For when your data won't fit in your dataframe

For when your data won't fit in your dataframe

Akimbo provides fast, vectorized processing of nested, ragged data in dataframes, using the .ak accessor.

• numpy-like API for slicing and accessing data deep in nested structures
• apply any function, ufunc or aggregation at any level
• use with different backends: pandas, polars (lazy and eager), dask-dataframe, pyspark, duckDB and cuDF exactly the same way (more backends may come in the future)
• CPU and GPU processing and support for numba-jit
• attach object-like behaviours to your record (sub)structures

See the quick start in the documentation for an introduction to akimbo.

Support for this work was provided by NSF grant OAC-2103945.

Work on this repository is supported in part by:

"Anaconda, Inc. - Advancing AI through open source."

.. raw:: html

<a href="https://anaconda.com/"><img src="https://camo.githubusercontent.com/b8555ef2222598ed37ce38ac86955febbd25de7619931bb7dd3c58432181d3b6/68747470733a2f2f626565776172652e6f72672f636f6d6d756e6974792f6d656d626572732f616e61636f6e64612f616e61636f6e64612d6c617267652e706e67" alt="anaconda logo" width="40%"/></a>

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4