From 37db0fa81411bc84a0e62998bf773d8d8ad8f737 Mon Sep 17 00:00:00 2001 From: Gregor Aisch Date: Wed, 3 Apr 2013 02:05:37 +0200 Subject: [PATCH] docs! --- docs/index.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/index.rst b/docs/index.rst index 3c3bfb8..b160da6 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -12,9 +12,9 @@ dataset: databases for lazy people Although managing data in relational database has plenty of benefits, we find them rarely being used in the typical day-to-day work with small to medium scale datasets. But why is that? Why do we see an awful lot of data stored in static files in CSV or JSON format? -Because **programmers are lazy**, and thus they tend to prefer the easiest solution they find. And managing data in a databases simply wasn't the simplest solution to store a bunch of structured data. This is where **dataset** steps in! +Because **programmers are lazy** they tend to prefer the easiest solution they find. And in **Python**, managing data in a databases simply wasn't the simplest solution to store a bunch of structured data. This is where **dataset** steps in! -In short, **dataset** makes reading and writing data in databases as simple as reading and writing JSON files. +*In short, dataset makes reading and writing data in databases as simple as reading and writing JSON files.* :: @@ -37,7 +37,7 @@ Features whether an existing version can be found. * **Query helpers** for simple queries such as :py:meth:`all ` rows in a table or all :py:meth:`distinct ` values across a set of columns. -* **Compatibility**: Being built on top of `SQLAlchemy `_, ``dataset` works with all major databases, such as SQLite, PostgreSQL and MySQL. +* **Compatibility**: Being built on top of `SQLAlchemy `_, ``dataset`` works with all major databases, such as SQLite, PostgreSQL and MySQL. Contents --------