Readme: remove old dvc image

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Dmitry
2018-03-21 00:23:51 -07:00
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| Linux & Mac | Windows | Code quality | Unit-tests |
| Linux & Mac OS | Windows | Code quality | Unit-tests |
|-------------|---------------|--------------|------------|
|[![Build Status](https://travis-ci.org/dataversioncontrol/dvc.svg?branch=master)](https://travis-ci.org/dataversioncontrol/dvc)|[![Build status](https://ci.appveyor.com/api/projects/status/rnqygb4rp1tsjvhb/branch/master?svg=true)](https://ci.appveyor.com/project/dataversioncontrol/dvc/branch/master)|[![Code Climate](https://codeclimate.com/github/dataversioncontrol/dvc/badges/gpa.svg)](https://codeclimate.com/github/dataversioncontrol/dvc)|[![Test Coverage](https://codeclimate.com/github/dataversioncontrol/dvc/badges/coverage.svg)](https://codeclimate.com/github/dataversioncontrol/dvc)|
![DVC icone](https://s3-us-west-2.amazonaws.com/dvc-share/images/favicon_rounded.jpg)
DVC is an open source tool for data science projects.
Data Version Control or DVC is an open source tool for data science projects.
It helps data scientists manage their code and data together in a simple form of Git-like commands.
# Get started
|Step|Command|
|----|-------|
|Track code and data together|`$ git add train.py` <br /> `$ dvc add images.zip` |
@@ -18,6 +16,7 @@ It helps data scientists manage their code and data together in a simple form of
|Share code|`$ git add .` <br /> `$ git commit -m 'The baseline model'` <br /> `$ git push`|
|Share data and ML models|`$ dvc config AWS.StoragePath mybucket/image_cnn` <br/> `$ dvc push`|
See more in [tutorial](https://blog.dataversioncontrol.com/data-version-control-tutorial-9146715eda46).
# Installation
@@ -30,7 +29,6 @@ The latest version of the packages can be found at GitHub releases page: https:/
DVC could be installed via the Python Package Index (PyPI).
To install using pip:
```bash
pip install dvc
```
@@ -39,7 +37,7 @@ pip install dvc
Website: https://dataversioncontrol.com
Tutorial: https://blog.dataversioncontrol.com/data-version-control-tutorial-9146715eda46?gi=a3e49be7976c
Tutorial: https://blog.dataversioncontrol.com/data-version-control-tutorial-9146715eda46
Documentation: http://dataversioncontrol.com/docs/