From 8bc17451ad607442e2b467f939e45af59994dff7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mart=C3=AD=20Bosch?= Date: Tue, 28 May 2024 13:45:12 +0200 Subject: [PATCH] docs: add key concepts link in readme and clean docs link [ci skip] --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index cb98036..6bdd3de 100644 --- a/README.md +++ b/README.md @@ -26,13 +26,15 @@ tstore is a library for flexible storage and processing of time series data. - **TStore**: hierarchically-structured specification to efficiently store geospatial time series data based on [Apache Parquet](https://parquet.apache.org) and [GeoParquet](https://github.com/opengeospatial/geoparquet). - **TSDF**: tabular Python object to store univariate and multivariate time series data, with support for pandas, dask and polars. +See the [key concepts page of the documentation](https://tstore.readthedocs.io/en/latest/01_key_concepts.html) for more details of the background and tstore features. + ______________________________________________________________________ #### 📖 Explore the TStore documentation To discover all TStore download, manipulation, analysis and plotting utilities, or how to contribute your custom retrieval to TStore: -- please read the software documentation available at [https://tstore.readthedocs.io/en/latest/](https://tstore.readthedocs.io/en/latest/). +- please read the software documentation available at [tstore.readthedocs.io/en/latest/](https://tstore.readthedocs.io/en/latest/). - dive into the Jupyter Notebooks [Tutorials](https://github.com/ltelab/tstore/tree/main/tutorials). ## 🛠️ Installation