From 7ea25b0094b5af0ac4def911bb02051bbb0dfefb Mon Sep 17 00:00:00 2001 From: Deepyaman Datta Date: Thu, 13 Jun 2024 09:53:43 +0100 Subject: [PATCH] docs: remove GitHub-specific Markdown in README.md --- README.md | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 6b646ea3f37db..88561c09a4502 100644 --- a/README.md +++ b/README.md @@ -29,8 +29,7 @@ You can `pip install` Ibis with a backend and example data: pip install 'ibis-framework[duckdb,examples]' ``` -> [!TIP] -> See the [installation guide](https://ibis-project.org/install) for more installation options. +See the [installation guide](https://ibis-project.org/install) for more installation options. Then use Ibis: @@ -71,8 +70,7 @@ Then use Ibis: └───────────┴───────────┴───────┘ ``` -> [!TIP] -> See the [getting started tutorial](https://ibis-project.org/tutorials/getting_started) for a full introduction to Ibis. +See the [getting started tutorial](https://ibis-project.org/tutorials/getting_started) for a full introduction to Ibis. ## Python + SQL: better together @@ -165,7 +163,7 @@ Ibis broadly supports two types of backend: 1. SQL-generating backends 2. DataFrame-generating backends -![Ibis backend types](docs/images/backends.png) +![Ibis backend types](https://raw.githubusercontent.com/ibis-project/ibis/main/docs/images/backends.png) ## Portability @@ -200,10 +198,7 @@ You can also read from common file formats like CSV or Apache Parquet: >>> t = con.read_parquet("penguins.parquet") ``` -This allows you to iterate locally and deploy remotely by changing a single line of code. - -> [!TIP] -> Check out [the blog on backend agnostic arrays](https://ibis-project.org/posts/backend-agnostic-arrays/) for one example using the same code across DuckDB and BigQuery. +This allows you to iterate locally and deploy remotely by changing a single line of code. Check out [the blog on backend agnostic arrays](https://ibis-project.org/posts/backend-agnostic-arrays/) for one example using the same code across DuckDB and BigQuery. ## Community and contributing