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authorKenneth Reitz <me@kennethreitz.com>2011-05-22 20:10:14 -0400
committerKenneth Reitz <me@kennethreitz.com>2011-05-22 20:10:14 -0400
commita196b9a5dd5819501ee8958f36483e41b268712f (patch)
tree3a4e3c1788445f472ad21174765c038d3d5471b9 /README.rst
parent5ba56c2bb329c000b1565f7291df860dbb0dcb54 (diff)
downloadtablib-a196b9a5dd5819501ee8958f36483e41b268712f.tar.gz
readme update
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@@ -28,10 +28,10 @@ Overview
--------
`tablib.Dataset()`
- A Dataset is a table of tabular data. It may or may not have a header row. They can be build and manipulated as raw Python datatypes (Lists of tuples|dictionaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to Excel (XLS), JSON, YAML, and CSV.
+ A Dataset is a table of tabular data. It may or may not have a header row. They can be build and manipulated as raw Python datatypes (Lists of tuples|dictionaries). Datasets can be imported from JSON, YAML, and CSV; they can be exported to XLSX, XLS, ODS, JSON, YAML, CSV, TSV, and HTML.
`tablib.Databook()`
- A Databook is a set of Datasets. The most common form of a Databook is an Excel file with multiple spreadsheets. Databooks can be imported from JSON and YAML; they can be exported to Excel (XLS), JSON, and YAML.
+ A Databook is a set of Datasets. The most common form of a Databook is an Excel file with multiple spreadsheets. Databooks can be imported from JSON and YAML; they can be exported to XLSX, XLS, ODS, JSON, and YAML.
Usage
-----
@@ -141,13 +141,6 @@ changes to the **develop** branch (or branch off of it), and send a pull
request. Make sure you add yourself to AUTHORS_.
-Roadmap
--------
-
-v1.0.0:
- - Hooks system
- - Tablib.ext namespace
- - Width detection on XLS out
.. _`the repository`: http://github.com/kennethreitz/tablib