pip install kedro and
conda install -c conda-forge kedro install the core Kedro module, which includes the CLI tool, project template, pipeline abstraction, framework, and support for configuration.
When you create a project, you then introduce additional dependencies for the tasks it performs.
You can specify a project’s exact dependencies in the
src/requirements.txt file to make it easier for you and others to run your project in the future,
and to avoid version conflicts downstream. This can be achieved with the help of
pip-tools in your virtual environment, run the following command:
pip install pip-tools
To add or remove dependencies to a project, edit the
src/requirements.txt file, then run the following:
pip-compile <project_root>/src/requirements.txt --output-file <project_root>/src/requirements.lock
This will pip compile the requirements listed in
src/requirements.txt file into a
src/requirements.lock that specifies a list of pinned project dependencies
(those with a strict version). You can also use this command with additional CLI arguments such as
pip’s Hash Checking Mode or
--upgrade-package to update specific packages to the latest or specific versions.
Check out the
pip-tools documentation for more information.
src/requirements.txt file contains “source” requirements, while
src/requirements.lock contains the compiled version of those and requires no manual updates.
To further update the project requirements, modify the
src/requirements.txt file (not
src/requirements.lock) and re-run the
pip-compile command above.
Install project-specific dependencies¶
To install the project-specific dependencies, navigate to the root directory of the project and run:
pip install -r src/requirements.txt