Bump up version to 0.18.0 (#1399)

.circleci/continue_config.yml

@@ -631,10 +631,4 @@ workflows:
   kedro_release:
     when: <<pipeline.parameters.release_kedro>>  # only run if 'release_kedro' flag is set
     jobs:
-      - build_kedro:
-          matrix:
-            parameters:
-              python_version: ["3.7", "3.8"]
-      - publish_kedro:
-          requires:
-            - build_kedro
+      - publish_kedro

CITATION.cff

@@ -26,6 +26,6 @@ authors:
 - family-names: Wong
   given-names: Susanna
 title: Kedro
-version: 0.17.7
-date-released: 2022-02-22
+version: 0.18.0
+date-released: 2022-03-31
 url: https://github.com/kedro-org/kedro

docs/source/deployment/databricks.md

@@ -33,7 +33,7 @@ conda create --name iris_databricks python=3.7 -y
 conda activate iris_databricks
 
 # install Kedro and create a new project
-pip install "kedro~=0.17.7"
+pip install "kedro~=0.18.0"
 # name your project Iris Databricks when prompted for it
 kedro new --starter pyspark-iris
 ```
@@ -311,10 +311,10 @@ In your newly created notebook put each code snippet from below into a separate
 %sh rm -rf ~/projects/iris-databricks && git clone --single-branch --branch main https://${GITHUB_USER}:${GITHUB_TOKEN}@github.com/${GITHUB_USER}/<your-repo-name>.git ~/projects/iris-databricks
 ```
 
-* Install the latest version of Kedro compatible with version `0.17.7`
+* Install the latest version of Kedro compatible with version `0.18.0`
 
 ```console
-%pip install "kedro[spark.SparkDataSet]~=0.17.7"
+%pip install "kedro[spark.SparkDataSet]~=0.18.0"
 ```
 
 * Copy input data into DBFS

docs/source/development/commands_reference.md

@@ -114,7 +114,7 @@ Returns output similar to the following, depending on the version of Kedro used
 | |/ / _ \/ _` | '__/ _ \
 |   <  __/ (_| | | | (_) |
 |_|\_\___|\__,_|_|  \___/
-v0.17.7
+v0.18.0
 
 Kedro is a Python framework for
 creating reproducible, maintainable

docs/source/tutorial/tutorial_template.md

@@ -29,7 +29,7 @@ ipython==7.0 # Used for an IPython session with `kedro ipython`
 isort~=5.0 # Used for linting code with `kedro lint`
 jupyter~=1.0 # Used to open a Kedro-session in Jupyter Notebook & Lab
 jupyterlab~=3.0 # Used to open a Kedro-session in Jupyter Lab
-kedro==0.17.7
+kedro==0.18.0
 nbstripout~=0.4 # Strips the output of a Jupyter Notebook and writes the outputless version to the original file
 pytest-cov~=3.0 # Produces test coverage reports
 pytest-mock>=1.7.1, <2.0 # Wrapper around the mock package for easier use with pytest
@@ -45,7 +45,7 @@ The dependencies above may be sufficient for some projects, but for this tutoria
 Edit your `src/requirements.txt` file to include the following lines:
 
 ```text
-kedro[pandas.CSVDataSet, pandas.ExcelDataSet, pandas.ParquetDataSet]==0.17.7   # Specify optional Kedro dependencies
+kedro[pandas.CSVDataSet, pandas.ExcelDataSet, pandas.ParquetDataSet]==0.18.0   # Specify optional Kedro dependencies
 kedro-viz~=4.0                                                                 # Visualise your pipelines
 scikit-learn~=1.0                                                              # For modelling in the data science pipeline
 ```

docs/source/tutorial/visualise_pipeline.md

@@ -112,7 +112,7 @@ We have also used the Plotly integration to allow users to [visualise metrics fr
 
 You need to update requirements.txt in your Kedro project and add the following datasets to enable plotly for your project.
 
-`kedro[plotly.PlotlyDataSet, plotly.JSONDataSet]==0.17.7`
+`kedro[plotly.PlotlyDataSet, plotly.JSONDataSet]==0.18.0`
 
 
 You can view Plotly charts in Kedro-Viz when you use Kedro's plotly datasets.

kedro/__init__.py

@@ -3,7 +3,7 @@
 configuration and pipeline assembly.
 """
 
-__version__ = "0.17.7"
+__version__ = "0.18.0"
 
 
 import logging