Introduction
Get started
git
conda
pip
conf
conf/base
conf/local
data
src
Tutorial
csv
xlsx
pipeline()
Visualisation with Kedro-Viz
Notebooks & IPython users
catalog
context
pipelines
session
%reload_kedro
%run_viz
Kedro project setup
kedro run
KedroSession
Data Catalog
*_args
project
GCSFileSystem
utf-8
version
IncrementalDataSet
Nodes and pipelines
**kwargs
kedro pipeline create
fsspec
SequentialRunner
ParallelRunner
Extend Kedro
_load
_save
_describe
PartitionedDataSet
click
global
Hooks
before_node_run
Logging
Development
venv
virtualenv
pytest
/tests
pytest-cov
pre-commit
Deployment
DataCatalog
kedro airflow
PySpark integration
conf/base/spark.yml
SparkSession
MemoryDataSet
DataFrame
copy_mode="assign"
ThreadRunner
FAQs
pipenv
Resources
KedroContext
Contribute to Kedro
core
extras
API documentation
kedro.framework.session.shelvestore.
ShelveStore
Stores the session data on disk using shelve package. This is an example of how to persist data on disk.