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Readme: remove old dvc image
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| Linux & Mac | Windows | Code quality | Unit-tests |
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| Linux & Mac OS | Windows | Code quality | Unit-tests |
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|-------------|---------------|--------------|------------|
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|[](https://travis-ci.org/dataversioncontrol/dvc)|[](https://ci.appveyor.com/project/dataversioncontrol/dvc/branch/master)|[](https://codeclimate.com/github/dataversioncontrol/dvc)|[](https://codeclimate.com/github/dataversioncontrol/dvc)|
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DVC is an open source tool for data science projects.
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Data Version Control or DVC is an open source tool for data science projects.
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It helps data scientists manage their code and data together in a simple form of Git-like commands.
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# Get started
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|Step|Command|
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|----|-------|
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|Track code and data together|`$ git add train.py` <br /> `$ dvc add images.zip` |
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@@ -18,6 +16,7 @@ It helps data scientists manage their code and data together in a simple form of
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|Share code|`$ git add .` <br /> `$ git commit -m 'The baseline model'` <br /> `$ git push`|
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|Share data and ML models|`$ dvc config AWS.StoragePath mybucket/image_cnn` <br/> `$ dvc push`|
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See more in [tutorial](https://blog.dataversioncontrol.com/data-version-control-tutorial-9146715eda46).
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# Installation
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@@ -30,7 +29,6 @@ The latest version of the packages can be found at GitHub releases page: https:/
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DVC could be installed via the Python Package Index (PyPI).
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To install using pip:
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```bash
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pip install dvc
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```
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Website: https://dataversioncontrol.com
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Tutorial: https://blog.dataversioncontrol.com/data-version-control-tutorial-9146715eda46?gi=a3e49be7976c
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Tutorial: https://blog.dataversioncontrol.com/data-version-control-tutorial-9146715eda46
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Documentation: http://dataversioncontrol.com/docs/
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