Step-by-Step Guide To Install DVC
DVC is Data Version Control, an Open Source Tool for Data Versioning and Experiment Tracking.
You can follow this article to know about Artifact Versioning and its importance
Pre-Requisites
Before we begin, there are a couple of prerequisites that you’ll need to have installed on your machine:
- Python(3.8+)
- Pip
That’s all you need! The installation process is very straightforward.
Installation using PIP
The following commands will do the wonders
To start, we’ll need to make sure that you have the correct version of Python and pip installed. You can do this by running the following commands:
python --version
pip --versionIf the printed version of Python is ≥3.8 and pip is installed, then you’re all set. Now, you can run the following command to install DVC:
pip install dvc[all]And that’s it! You’ve successfully installed DVC on your machine. You can now start using it to version your data and track experiments.
Other Installations
In addition to the step-by-step guide provided above, there are other ways to install DVC. The official documentation provides several options for your convenience. If another method is more suitable for your needs, I encourage you to use it. Below are the links to the official documentation for installing DVC in other ways:
Please note that you can choose the installation method that best suits your needs and environment. Be sure to follow the instructions provided in the official documentation to ensure a successful installation.
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