Update tutorials

README.rst

@@ -70,8 +70,8 @@ Introduction
 **geemap** is a Python package for interactive mapping with `Google Earth Engine <https://earthengine.google.com/>`__ (GEE), which is a cloud computing platform with a `multi-petabyte catalog <https://developers.google.com/earth-engine/datasets/>`__ of satellite imagery and geospatial datasets. During the past few years, 
 GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales. GEE provides both JavaScript and Python APIs for 
 making computational requests to the Earth Engine servers. Compared with the comprehensive `documentation <https://developers.google.com/earth-engine>`__ and interactive IDE (i.e., `GEE JavaScript Code Editor <https://code.earthengine.google.com/>`__) of the GEE JavaScript API, 
-the GEE Python API lacks good documentation and functionality for visualizing results interactively. The **geemap** Python package is created to fill this gap. It is built upon `ipyleaflet <https://github.com/jupyter-widgets/ipyleaflet>`__ and `ipywidgets <https://github.com/jupyter-widgets/ipywidgets>`__, enabling GEE users to 
-analyze and visualize Earth Engine datasets interactively with Jupyter notebooks.
+the GEE Python API has relatively little documentation and limited functionality for visualizing results interactively. The **geemap** Python package was created to fill this gap. It is built upon `ipyleaflet <https://github.com/jupyter-widgets/ipyleaflet>`__ and `ipywidgets <https://github.com/jupyter-widgets/ipywidgets>`__, and enables users to 
+analyze and visualize Earth Engine datasets interactively within a Jupyter-based environment.
 
 **geemap** is intended for students and researchers, who would like to utilize the Python ecosystem of diverse libraries and tools to explore Google Earth Engine. It is also designed for existing GEE users who would like to transition from the GEE JavaScript API to Python API. The automated JavaScript-to-Python `conversion module <https://github.com/giswqs/geemap/blob/master/geemap/conversion.py>`__ of the **geemap** package
 can greatly reduce the time needed to convert existing GEE JavaScripts to Python scripts and Jupyter notebooks.

examples/README.md

@@ -44,6 +44,9 @@ More video tutorials for geemap and Earth Engine are available on my [YouTube ch
 23. [How to search Earth Engine API and import assets from GEE personal account?](#23-how-to-search-earth-engine-api-and-import-assets-from-gee-personal-account) ([video](https://youtu.be/c9VJ_uRYSkw) | [gif](https://i.imgur.com/b1auzkr.gif) | [notebook](https://github.com/giswqs/geemap/blob/master/examples/notebooks/22_import_assets.ipynb))
 24. [How to publish interactive Earth Engine maps?](#24-how-to-publish-interactive-earth-engine-maps) ([video](https://youtu.be/NNrrLBIqroY) | [gif](https://i.imgur.com/Hpfzazk.gif) | [notebook](https://github.com/giswqs/geemap/blob/master/examples/notebooks/24_publish_maps.ipynb))
 25. [How to load local raster datasets with geemap?](#25-how-to-load-local-raster-datasets-with-geemap) ([video](https://youtu.be/6XIehAnoazk) | [gif](https://i.imgur.com/nsqEt2O.gif) | [notebook](https://github.com/giswqs/geemap/blob/master/examples/notebooks/21_export_map_to_html_png.ipynb))
+26. How to create and deploy Earth Engine Apps using Python? ([video](https://youtu.be/nsIjfD83ggA) | [gif](https://i.imgur.com/Hpfzazk.gif) | [notebook](https://github.com/giswqs/geemap/blob/master/examples/notebooks/26_heroku.ipynb))
+27. How to create an interactive Earth Engine App for creating Landsat timelapse? ([video](https://youtu.be/whIXudC6r_s) | [gif](https://i.imgur.com/doHfnKp.gif) | [notebook](https://github.com/giswqs/geemap/blob/master/examples/notebooks/27_timelapse_app.ipynb))
+28. How to use your local computer as a web server for hosting Earth Engine Apps? ([video](https://youtu.be/eRDZBVJcNCk) | [gif](https://i.imgur.com/q0sJSyi.gif) | [notebook](https://github.com/giswqs/geemap/blob/master/examples/notebooks/28_voila.ipynb))
 
 ### 1. Introducing the geemap Python package for interactive mapping with Google Earth Engine
 

requirements.txt

@@ -13,4 +13,5 @@ ipytree
 matplotlib
 mss
 pillow
-pyshp
+pyshp
+voila