Introduction
Getting Started
conda
venv
pipenv
git
kedro build-reqs
kedro install
Tutorial
data
User Guide
virtualenv
kedro run
twine
anyconfig
version
IncrementalDataSet
conf/base/spark.yml
SparkSession
ProjectContext
MemoryDataSet
DataFrame
copy_mode="assign"
ThreadRunner
click
context
context.run()
DataCatalog
kedro jupyter notebook
_load
fsspec
_save
_describe
PartitionedDataSet
Resources
kedro_cli.py
run.py
.kedro.yml
00-kedro-init.py
kedro cli
kedro/cli/cli.py
plugins
get_project_context()
load_context()
KedroContext
ConfigLoader
Pipeline
AbstractRunner
AbstractDataSet
kedro test
kedro package
kedro build-docs
kedro jupyter lab
kedro ipython
kedro jupyter convert
kedro lint
kedro activate-nbstripout
kedro catalog list
kedro pipeline list
kedro pipeline create
kedro pipeline package <pipeline_name>
kedro pipeline delete <pipeline_name>
API Docs
kedro.extras.transformers.memory_profiler.
ProfileMemoryTransformer
A transformer that logs the maximum memory consumption during load and save calls