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docs: reword backend counting to nearly 20 from 20+
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IndexSeek committed Nov 26, 2024
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -16,7 +16,7 @@ Ibis is the portable Python dataframe library:
- Lazy dataframe expressions
- Interactive mode for iterative data exploration
- [Compose Python dataframe and SQL code](#python--sql-better-together)
- Use the same dataframe API for [20+ backends](#backends)
- Use the same dataframe API for [nearly 20 backends](#backends)
- Iterate locally and deploy remotely by [changing a single line of code](#portability)

See the documentation on ["Why Ibis?"](https://ibis-project.org/why) to learn more.
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2 changes: 1 addition & 1 deletion docs/how-to/extending/unbound_expression.qmd
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Expand Up @@ -107,7 +107,7 @@ con.table("results").to_pandas()

Because Ibis separates the transformation logic from the execution engine, you
can easily reuse the written transformation for another backend. Here we use
Polars as an example, but you can do the same for any of Ibis' 20+ supported
Polars as an example, but you can do the same for any of Ibis' nearly 20 supported
backends as long as that particular backend supports the operations
(see [the operation support matrix](../../backends/support/matrix.qmd)).

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6 changes: 3 additions & 3 deletions docs/index.qmd
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Expand Up @@ -46,7 +46,7 @@ about:

### An open source dataframe library that works with any data system

- Use the same API for 20+ backends
- Use the same API for nearly 20 backends
- Fast local dataframes with embedded DuckDB (default), Polars, or DataFusion
- Iterate locally and deploy remotely by changing a single line of code
- Compose SQL and Python dataframe code, bridging the gap between data engineering and data science
Expand Down Expand Up @@ -90,9 +90,9 @@ grouped # <2>
1. Transform the table.
2. Display the transformed table.

### One API for 20+ backends
### One API for nearly 20 backends

Use the same dataframe API for 20+ backends:
Use the same dataframe API for nearly 20 backends:

```{python}
#| code-fold: true
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4 changes: 2 additions & 2 deletions docs/why.qmd
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Expand Up @@ -3,7 +3,7 @@ title: "Why Ibis?"
---

Ibis defines a Python dataframe API that executes on any query engine -- the
frontend for any backend data platform, with 20+ backends today. This allows
frontend for any backend data platform, with nearly 20 backends today. This allows
Ibis to have excellent performance -- as good as the backend it is connected to
-- with a consistent user experience.

Expand Down Expand Up @@ -186,7 +186,7 @@ practitioners. It also allows organizations to:

Python developers creating libraries can use Ibis to:

- instantly support 20+ data backends
- instantly support nearly 20 data backends
- instantly support pandas, PyArrow, and Polars objects
- read and write from all common file formats (depending on the backend)
- trace column-level lineage through Ibis expressions
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