From 9cd4131836dee8f185f4b10fd35b997e69eb55bd Mon Sep 17 00:00:00 2001 From: Anton Burnashev Date: Tue, 16 Jan 2024 16:27:53 +0100 Subject: [PATCH] update wording --- docs/website/docs/intro.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/website/docs/intro.md b/docs/website/docs/intro.md index 9cd35f2cba..5662d6302d 100644 --- a/docs/website/docs/intro.md +++ b/docs/website/docs/intro.md @@ -19,7 +19,7 @@ pip install dlt ``` Unlike other solutions, with dlt, there's no need to use any backends or containers. Simply import `dlt` in a Python file or a Jupyter Notebook cell, and create a pipeline to load data into any of the [supported destinations](dlt-ecosystem/destinations/). You can load data from any source that produces Python data structures, including APIs, files, databases, and more. -The library will create or update tables, infer data types and handle nested data automatically. Here are a few examples: +The library will create or update tables, infer data types and handle nested data automatically. Here are a few example pipelines: