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readme: roll back non-vscode changes
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Ruslan Kuprieiev
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@@ -35,9 +35,8 @@
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How DVC works
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=============
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We encourage you to read our `Get Started
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<https://dvc.org/doc/get-started>`_ guides to better understand what DVC
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does and how it can fit your scenarios.
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We encourage you to read our `Get Started <https://dvc.org/doc/get-started>`_ guide to better understand what DVC
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is and how it can fit your scenarios.
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The easiest (but not perfect!) *analogy* to describe it: DVC is Git (or Git-LFS to be precise) & Makefiles
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made right and tailored specifically for ML and Data Science scenarios.
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@@ -69,17 +68,15 @@ Quick start (Visual Studio Code)
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Quick start (command line)
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==========================
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Please read our `Command Reference <https://dvc.org/doc/command-reference>`_ for a complete list.
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A common CLI workflow includes:
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Please read `Get Started <https://dvc.org/doc/get-started>`_ guide for a full version. Common workflow commands include:
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+-----------------------------------+----------------------------------------------------------------------------+
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| Task | Terminal |
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| Step | Command |
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+===================================+============================================================================+
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| Track data | | ``$ git add train.py`` |
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| | | ``$ dvc add images.zip`` |
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+-----------------------------------+----------------------------------------------------------------------------+
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| Connect code and data | | ``$ dvc run -n prepare -d images.zip -o images/ unzip -q images.zip`` |
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| Connect code and data by commands | | ``$ dvc run -n prepare -d images.zip -o images/ unzip -q images.zip`` |
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| | | ``$ dvc run -n train -d images/ -d train.py -o model.p python train.py`` |
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+-----------------------------------+----------------------------------------------------------------------------+
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| Make changes and reproduce | | ``$ vi train.py`` |
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@@ -119,10 +116,11 @@ Snapcraft (Linux)
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snap install dvc --classic
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This corresponds to the latest tagged release.
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Add ``--beta`` for the latest tagged release candidate, or ``--edge`` for the latest ``main`` version.
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Add ``--beta`` for the latest tagged release candidate,
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or ``--edge`` for the latest ``main`` version.
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Chocolatey (Windows)
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--------------------
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Choco (Chocolatey/Windows)
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--------------------------
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|Choco|
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@@ -130,8 +128,8 @@ Chocolatey (Windows)
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choco install dvc
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Brew (mac OS)
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-------------
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Brew (Homebrew/Mac OS)
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----------------------
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|Brew|
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@@ -139,8 +137,8 @@ Brew (mac OS)
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brew install dvc
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Anaconda (Any platform)
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-----------------------
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Conda (Anaconda)
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----------------
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|Conda|
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@@ -149,10 +147,11 @@ Anaconda (Any platform)
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conda install -c conda-forge mamba # installs much faster than conda
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mamba install -c conda-forge dvc
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Depending on the remote storage type you plan to use to keep and share your data, you might need to install optional dependencies: `dvc-s3`, `dvc-azure`, `dvc-gdrive`, `dvc-gs`, `dvc-oss`, `dvc-ssh`.
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Depending on the remote storage type you plan to use to keep and share your data, you might need to
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install optional dependencies: `dvc-s3`, `dvc-azure`, `dvc-gdrive`, `dvc-gs`, `dvc-oss`, `dvc-ssh`.
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PyPI (Python)
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-------------
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pip (PyPI)
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----------
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|PyPI|
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@@ -160,8 +159,10 @@ PyPI (Python)
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pip install dvc
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Depending on the remote storage type you plan to use to keep and share your data, you might need to specify one of the optional dependencies: ``s3``, ``gs``, ``azure``, ``oss``, ``ssh``. Or ``all`` to include them all.
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The command should look like this: ``pip install 'dvc[s3]'`` (in this case AWS S3 dependencies such as ``boto3`` will be installed automatically).
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Depending on the remote storage type you plan to use to keep and share your data, you might need to specify
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one of the optional dependencies: ``s3``, ``gs``, ``azure``, ``oss``, ``ssh``. Or ``all`` to include them all.
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The command should look like this: ``pip install dvc[s3]`` (in this case AWS S3 dependencies such as ``boto3``
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will be installed automatically).
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To install the development version, run:
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@@ -169,13 +170,13 @@ To install the development version, run:
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pip install git+git://github.com/iterative/dvc
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Package (Platform-specific)
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---------------------------
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Package
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-------
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|Packages|
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Self-contained packages for Linux, Windows, and Mac are available.
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The latest version of the packages can be found on the GitHub `releases page <https://github.com/iterative/dvc/releases>`_.
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Self-contained packages for Linux, Windows, and Mac are available. The latest version of the packages
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can be found on the GitHub `releases page <https://github.com/iterative/dvc/releases>`_.
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Ubuntu / Debian (deb)
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^^^^^^^^^^^^^^^^^^^^^
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