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new 41d66f6 Update the doc with binder information
41d66f6 is described below
commit 41d66f6cc95b57ec4d512163fe2d50264d863e72
Author: Jia Yu <[email protected]>
AuthorDate: Sun Feb 14 15:55:58 2021 -0800
Update the doc with binder information
---
README.md | 3 +++
docs/download/compile.md | 2 +-
docs/download/features.md | 2 ++
docs/download/overview.md | 4 +++-
docs/tutorial/geospark-core-python.md | 2 +-
docs/tutorial/geospark-sql-python.md | 2 +-
docs/tutorial/jupyter-notebook.md | 12 +++++++-----
7 files changed, 18 insertions(+), 9 deletions(-)
diff --git a/README.md b/README.md
index 72ef9fc..2521fd5 100644
--- a/README.md
+++ b/README.md
@@ -2,6 +2,9 @@
[](https://github.com/apache/incubator-sedona/actions?query=workflow%3A%22Scala+and+Java+build%22)
[](https://github.com/apache/incubator-sedona/actions?query=workflow%3A%22Python+build%22)
](https://mybinder.org/v2/gh/apache/incubator-sedona/HEAD?filepath=binder)
and play the interactive Sedona Python Jupyter Notebook immediately!
+
+
Apache Sedona™(incubating) is a cluster computing system for processing
large-scale spatial data. Sedona extends Apache Spark / SparkSQL with a set of
out-of-the-box Spatial Resilient Distributed Datasets (SRDDs)/ SpatialSQL that
efficiently load, process, and analyze large-scale spatial data across machines.
### Sedona contains several modules:
diff --git a/docs/download/compile.md b/docs/download/compile.md
index 0d97e73..b7cd233 100644
--- a/docs/download/compile.md
+++ b/docs/download/compile.md
@@ -1,6 +1,6 @@
# Compile Sedona source code
-[](https://github.com/apache/incubator-sedona/actions?query=workflow%3A%22Scala+and+Java+build%22)
[](https://github.com/apache/incubator-sedona/actions?query=workflow%3A%22Python+build%22)
](https://github.com/apache/incubator-sedona/actions?query=workflow%3A%22Scala+and+Java+build%22)
[](https://github.com/apache/incubator-sedona/actions?query=workflow%3A%22Python+build%22)
+Click
[](https://mybinder.org/v2/gh/apache/incubator-sedona/HEAD?filepath=binder)
and play the interactive Sedona Python Jupyter Notebook immediately!
+
## Companies are using Sedona
[<img
src="https://www.dataiku.com/static/img/partners/LOGO-Blue-DME-PNG-3.png";
width="200">](https://www.bluedme.com/) [<img
src="https://images.ukfast.co.uk/comms/news/businesscloud/photos/14-08-2018/gyana.jpg";
width="150">](https://www.gyana.co.uk/) [<img
src="https://mobike.com/global/public/invitation__footer__logo.png";
width="150">](https://mobike.com) and more!
diff --git a/docs/download/overview.md b/docs/download/overview.md
index a295627..21a6440 100644
--- a/docs/download/overview.md
+++ b/docs/download/overview.md
@@ -39,6 +39,8 @@ There are two ways to use a Scala or Java library with Apache
Spark. You can use
## Install Sedona Python
+Click
[](https://mybinder.org/v2/gh/apache/incubator-sedona/HEAD?filepath=binder)
and play the interactive Sedona Python Jupyter Notebook immediately!
+
Apache Sedona extends pyspark functions which depends on libraries:
* pyspark
@@ -105,4 +107,4 @@ export SPARK_HOME=~/Downloads/spark-3.0.1-bin-hadoop2.7
export PYTHONPATH=$SPARK_HOME/python
```
-You can then play with [Sedona Python Jupyter
notebook](/tutorial/jupyter-notebook/)
\ No newline at end of file
+You can then play with [Sedona Python Jupyter
notebook](/tutorial/jupyter-notebook/).
\ No newline at end of file
diff --git a/docs/tutorial/geospark-core-python.md
b/docs/tutorial/geospark-core-python.md
index 2f2869b..a4d7f1d 100644
--- a/docs/tutorial/geospark-core-python.md
+++ b/docs/tutorial/geospark-core-python.md
@@ -33,7 +33,7 @@ GeoData has one method to get user data.
<li> getUserData() -> str </li>
!!!note
- This tutorial is based on [Sedona Core Jupyter Notebook
example](../jupyter-notebook)
+ This tutorial is based on [Sedona Core Jupyter Notebook
example](../jupyter-notebook). You can interact with Sedona Python Jupyter
notebook immediately on Binder. Click
[](https://mybinder.org/v2/gh/apache/incubator-sedona/HEAD?filepath=binder)
and wait for a few minutes. Then select a notebook and enjoy!
## Installation
diff --git a/docs/tutorial/geospark-sql-python.md
b/docs/tutorial/geospark-sql-python.md
index 37d0f75..b5f88e0 100644
--- a/docs/tutorial/geospark-sql-python.md
+++ b/docs/tutorial/geospark-sql-python.md
@@ -14,7 +14,7 @@ spark.sql("YOUR_SQL")
```
!!!note
- This tutorial is based on [Sedona SQL Jupyter Notebook
example](../jupyter-notebook)
+ This tutorial is based on [Sedona SQL Jupyter Notebook
example](../jupyter-notebook). You can interact with Sedona Python Jupyter
notebook immediately on Binder. Click
[](https://mybinder.org/v2/gh/apache/incubator-sedona/HEAD?filepath=binder)
and wait for a few minutes. Then select a notebook and enjoy!
## Installation
diff --git a/docs/tutorial/jupyter-notebook.md
b/docs/tutorial/jupyter-notebook.md
index c69b739..12a12fa 100644
--- a/docs/tutorial/jupyter-notebook.md
+++ b/docs/tutorial/jupyter-notebook.md
@@ -1,21 +1,23 @@
# Python Jupyter Notebook Examples
-Sedona Python provides two Jupyter Notebook examples: [Sedona
core](https://github.com/apache/incubator-sedona/blob/master/python/ApacheSedonaCore.ipynb)
and [Sedona
SQL](https://github.com/apache/incubator-sedona/blob/master/python/ApacheSedonaSQL.ipynb)
+Click
[](https://mybinder.org/v2/gh/apache/incubator-sedona/HEAD?filepath=binder)
and play the interactive Sedona Python Jupyter Notebook immediately!
+Sedona Python provides two Jupyter Notebook examples: [Sedona
core](https://github.com/apache/incubator-sedona/blob/master/binder/ApacheSedonaCore.ipynb)
and [Sedona
SQL](https://github.com/apache/incubator-sedona/blob/master/binder/ApacheSedonaSQL.ipynb)
-Please use the following steps to run Jupyter notebook with Pipenv
+
+Please use the following steps to run Jupyter notebook with Pipenv on your
machine
1. Clone Sedona GitHub repo or download the source code
2. Install Sedona Python from PyPi or GitHub source: Read [Install Sedona
Python](/download/overview/#install-sedona) to learn.
3. Prepare python-adapter jar: Read [Install Sedona
Python](/download/overview/#prepare-python-adapter-jar) to learn.
4. Setup pipenv python version. For Spark 3.0, Sedona supports 3.7 - 3.9
```bash
-cd python
+cd binder
pipenv --python 3.8
```
5. Install dependencies
```bash
-cd python
+cd binder
pipenv install
```
6. Install jupyter notebook kernel for pipenv
@@ -25,7 +27,7 @@ pipenv shell
```
7. In the pipenv shell, do
```bash
-python -m ipykernel install --user --name=my-virtualenv-name
+python -m ipykernel install --user --name=apache-sedona
```
8. Setup environment variables `SPARK_HOME` and `PYTHONPATH` if you didn't do
it before. Read [Install Sedona
Python](/download/overview/#setup-environment-variables) to learn.
9. Launch jupyter notebook: `jupyter notebook`
![https://www.dataiku.com/static/img/partners/LOGO-Blue-DME-PNG-3.png"](https://www.dataiku.com/static/img/partners/LOGO-Blue-DME-PNG-3.png"){kind=link}
![https://images.ukfast.co.uk/comms/news/businesscloud/photos/14-08-2018/gyana.jpg"](https://images.ukfast.co.uk/comms/news/businesscloud/photos/14-08-2018/gyana.jpg"){kind=link}
![https://mobike.com/global/public/invitation__footer__logo.png"](https://mobike.com/global/public/invitation__footer__logo.png"){kind=link}