Releases of tensorflow-io v0.9.0, v0.8.0, and v0.7.1

[Yong Tang]

Hi All,

It has been a long wait for the TF 2.0 compatible release of tensorflow-io, now we are happy to announce the arrivals of:

- v0.9.0 (for TensorFlow 2.0)

- v0.8.0 (for TensorFlow 1.15)

- v0.7.1 (for TensorFlow 1.14 bigquery patch)

The v0.9.0 release comes with many new features, such as DICOM format (medical image), FastQ format (biological DNA sequence), FFmpeg subtitle stream support, etc. that could be really useful to many users across different areas. 

Most importantly, v0.9.0 release is the first release of tensorflow-io that fully support TensorFlow 2.0. Moving forward future releases will always be 2.0 compatible. Patch release (similar to v0.7.1 release) might still be possible for 1.x compatible releases.

On Linux, Python 2.7, 3.5, 3.6, 3.7 are supported and on macOS python 2.7, 3.5, 3.6 are supported.

All python wheel packages are available to be installed with:

```

pip install tensorflow-io[==version]

```

Please see more details from the release notes at the end of the email.

Thanks to everyone who contributed to and supported these releases!

# Release 0.9.0

Release 0.9.0 is the first release that is fully compatible with
TensorFlow 2.0. The package of 0.9.0 is different from 0.8.0,
though it shares the same code base as 0.8.0 with the same sets
of features and contributors.

## Major Features
* **TensorFlow 2.0 compatible**.
* `tensorflow_io.json`: JSON Dataset support.
* `tensorflow_io.dicom`: Medical image DICOM format support.
* `tensorflow_io.genome`: DNA Sequence FastQ format support added.
* `tensorflow_io.ffmpeg`: FFmpeg now support selection of substreams.
* `tensorflow_io.ffmpeg`: FFmpeg now support subtitle (captioning).
* `tensorflow_io.ffmpeg`: FFmpeg now support decode video from memory.
* `tensorflow_io.image`: BMP encoding (encode_bmp) support.
* `tensorflow_io.kafka`: Kafka Dataset now support Kafka Schema Registry.
* `tensorflow_io.audio`: WAV format now support 24 bit audio streams.
* `tensorflow_io.text`: Regex capture group (`re2_full_match`) support.
* manylinux2010 compliant on Linux.

## Thanks to our Contributors

This release contains contributions from many people:

Aleksey Vlasenko, Amarpreet Singh, Bryan Cutler, Damien Pontifex, Duke Wang,
Jiacheng Xu, Marcelo Lerendegui, Mark Daoust, Ouwen Huang, Suyash Kumar,
Yong Tang, Yuan Tang, henrytansetiawan

We are also grateful to all who filed issues or helped resolve them, asked and
answered questions, and were part of inspiring discussions.

# Release 0.8.0

## Major Features
* `tensorflow_io.json`: JSON Dataset support.
* `tensorflow_io.dicom`: Medical image DICOM format support.
* `tensorflow_io.genome`: DNA Sequence FastQ format support added.
* `tensorflow_io.ffmpeg`: FFmpeg now support selection of substreams.
* `tensorflow_io.ffmpeg`: FFmpeg now support subtitle (captioning).
* `tensorflow_io.ffmpeg`: FFmpeg now support decode video from memory.
* `tensorflow_io.image`: BMP encoding (encode_bmp) support.
* `tensorflow_io.kafka`: Kafka Dataset now support Kafka Schema Registry.
* `tensorflow_io.audio`: WAV format now support 24 bit audio streams.
* `tensorflow_io.text`: Regex capture group (`re2_full_match`) support.
* manylinux2010 compliant on Linux.

## Thanks to our Contributors

This release contains contributions from many people:

Aleksey Vlasenko, Amarpreet Singh, Bryan Cutler, Damien Pontifex, Duke Wang,
Jiacheng Xu, Marcelo Lerendegui, Mark Daoust, Ouwen Huang, Suyash Kumar,
Yong Tang, Yuan Tang, henrytansetiawan

We are also grateful to all who filed issues or helped resolve them, asked and
answered questions, and were part of inspiring discussions.
# Release 0.7.1

## Major Features
*  `tensorflow_io.bigquery`: Fixes for Google Cloud BigQuery for Tensorflow 1.14

## Thanks to our Contributors

This release contains contributions from many people:

Aleksey Vlasenko, Anton Dmitriev, Bryan Cutler, Damien Pontifex, Ivelin Ivanov,

Jiacheng Xu, Misha Brukman, Russell Power, Yong Tang, Yuan Tang, zhjunqin

We are also grateful to all who filed issues or helped resolve them, asked and
answered questions, and were part of inspiring discussions.