Wq-io

**wq.io 1.0.0** is finally here! This is the first stable release of wq.io 1.0, which is now ready for production use.

Changes since wq.io 1.0.0 beta
* Support `"iso8601"` as a date format specification (3858f27c1b389da24eb82186015efe99f643ee74)
* Format column widths, headings, and dates when writing to Excel (64a658c)
* Drop Python 2.7 from tests (still supported in library - for now)
* Incorporate [Code of Conduct](https://github.com/wq/wq.io/blob/master/CODE_OF_CONDUCT.md) and [Contributing Guidelines](https://github.com/wq/wq.io/blob/master/CONTRIBUTING.md)

**wq.io 1.0.0b1** is the beta release of the upcoming 1.0 version of [wq.io](https://wq.io/wq.io). The release brings code style improvements and URL support for `wq cat`:

bash
wq cat http://example.com/example.xlsx

**wq.io 1.0.0a1** is an alpha release of the upcoming 1.0 version of [wq.io](https://wq.io/wq.io). The main change is better support for binary formats.
- Change `binary` from being defined on [loader](https://wq.io/docs/loaders) classes to being defined on [parser](https://wq.io/docs/parsers) classes, which makes more sense intuitively. Removed `BinaryFileLoader` and made `FileLoader` check (rather than set) the `binary` attribute to determine file mode.
- Include binary support in `StringLoader` via a similar mechanism.
- Update `CsvParser` and tests to ensure they work whether or not `unicodecsv` is installed

Initial work on a CLI for wq.io (see 8).

**wq.io 0.7.0** brings a few API improvements and minor new features.

New Classes
- **[ZipFileLoader](http://wq.io/docs/loaders)** & **[ZipNetLoader](http://wq.io/docs/loaders)**: Automatically extract data from a file stored in a compressed archive.

API improvements
- **[GIS submodule](http://wq.io/docs/gis-io)**: Support for `as_dataframe()` (returns a `GeoDataFrame` with some help from [GeoPandas](http://geopandas.org/)).
- **[XmlParser](http://wq.io/docs/parsers)**: Search for `root_tag` (if specified) when parsing XML documents
- New `scan_fields` option to ensure fields are properly detected for datasets with different fields in each row