readme: roll back non-vscode changes

This commit is contained in:
Jorge Orpinel
2022-06-20 16:10:38 +03:00
committed by Ruslan Kuprieiev
parent 1284842f70
commit e07e79da52
+25 -24
View File
@@ -35,9 +35,8 @@
How DVC works
=============
We encourage you to read our `Get Started
<https://dvc.org/doc/get-started>`_ guides to better understand what DVC
does and how it can fit your scenarios.
We encourage you to read our `Get Started <https://dvc.org/doc/get-started>`_ guide to better understand what DVC
is and how it can fit your scenarios.
The easiest (but not perfect!) *analogy* to describe it: DVC is Git (or Git-LFS to be precise) & Makefiles
made right and tailored specifically for ML and Data Science scenarios.
@@ -69,17 +68,15 @@ Quick start (Visual Studio Code)
Quick start (command line)
==========================
Please read our `Command Reference <https://dvc.org/doc/command-reference>`_ for a complete list.
A common CLI workflow includes:
Please read `Get Started <https://dvc.org/doc/get-started>`_ guide for a full version. Common workflow commands include:
+-----------------------------------+----------------------------------------------------------------------------+
| Task | Terminal |
| Step | Command |
+===================================+============================================================================+
| Track data | | ``$ git add train.py`` |
| | | ``$ dvc add images.zip`` |
+-----------------------------------+----------------------------------------------------------------------------+
| Connect code and data | | ``$ dvc run -n prepare -d images.zip -o images/ unzip -q images.zip`` |
| Connect code and data by commands | | ``$ dvc run -n prepare -d images.zip -o images/ unzip -q images.zip`` |
| | | ``$ dvc run -n train -d images/ -d train.py -o model.p python train.py`` |
+-----------------------------------+----------------------------------------------------------------------------+
| Make changes and reproduce | | ``$ vi train.py`` |
@@ -119,10 +116,11 @@ Snapcraft (Linux)
snap install dvc --classic
This corresponds to the latest tagged release.
Add ``--beta`` for the latest tagged release candidate, or ``--edge`` for the latest ``main`` version.
Add ``--beta`` for the latest tagged release candidate,
or ``--edge`` for the latest ``main`` version.
Chocolatey (Windows)
--------------------
Choco (Chocolatey/Windows)
--------------------------
|Choco|
@@ -130,8 +128,8 @@ Chocolatey (Windows)
choco install dvc
Brew (mac OS)
-------------
Brew (Homebrew/Mac OS)
----------------------
|Brew|
@@ -139,8 +137,8 @@ Brew (mac OS)
brew install dvc
Anaconda (Any platform)
-----------------------
Conda (Anaconda)
----------------
|Conda|
@@ -149,10 +147,11 @@ Anaconda (Any platform)
conda install -c conda-forge mamba # installs much faster than conda
mamba install -c conda-forge dvc
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`.
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`.
PyPI (Python)
-------------
pip (PyPI)
----------
|PyPI|
@@ -160,8 +159,10 @@ PyPI (Python)
pip install dvc
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.
The command should look like this: ``pip install 'dvc[s3]'`` (in this case AWS S3 dependencies such as ``boto3`` will be installed automatically).
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.
The command should look like this: ``pip install dvc[s3]`` (in this case AWS S3 dependencies such as ``boto3``
will be installed automatically).
To install the development version, run:
@@ -169,13 +170,13 @@ To install the development version, run:
pip install git+git://github.com/iterative/dvc
Package (Platform-specific)
---------------------------
Package
-------
|Packages|
Self-contained packages for Linux, Windows, and Mac are available.
The latest version of the packages can be found on the GitHub `releases page <https://github.com/iterative/dvc/releases>`_.
Self-contained packages for Linux, Windows, and Mac are available. The latest version of the packages
can be found on the GitHub `releases page <https://github.com/iterative/dvc/releases>`_.
Ubuntu / Debian (deb)
^^^^^^^^^^^^^^^^^^^^^