What's NEXT in Python GIS and Interactive Data Dashboards

Join us as we explore the exciting world of #datascience #Python #GIS and interactive data dashboards!

In this video, we'll dive into the latest trends and innovations shaping the future of #geospatial #analysis and #data #visualization#keplerians .gl vs #Leafmap vs #PyDeck and .
er.gl, PyDeck and Plotly - Dash to emerging technologies like Leafmap, Voila and Streamlit, we'll discuss what's next in Python GIS and interactive data dashboards.

#KeplerGL vs #Leafmap vs #PyDeck and
#Streamlit vs #Dash vs #Voila

Whether you're a seasoned developer or just starting out, this video is perfect for anyone looking to stay ahead of the curve in the rapidly evolving world of geospatial data science. So, what are you waiting for? Let's dive in and discover the possibilities!

0:00 Introduction
Python GIS Libraries and Data Dashboard Libraries

0:50 Kepler.GL
Kepler.gl is a powerful geospatial visualization tool developed by Uber. It’s great for handling large datasets and creating highly interactive maps. Code Example:
Use Kepler.gl for exploratory geospatial analysis and large datasets.

1:55 Leafmap
Leafmap is built on top of Folium and ipyleaflet, making it a great choice for creating interactive maps with minimal code.
Pros & Cons
Recommendation:
Use Leafmap for quick, interactive maps with layers.

3:10 PyDeck
PyDeck is a Python wrapper for Deck.gl, a WebGL-powered framework for visual exploratory data analysis. It’s great for creating 3D maps and visualizations. Code Example:
Use PyDeck for 3D geospatial visualizations and large datasets.

4:23 General-purpose libraries
For creating interactive data dashboards and visualizations.

4:25 Streamlit
Streamlit is a framework for building data apps quickly. It’s great for creating interactive dashboards with minimal code. Here’s an example:
Recommendation:
Use Streamlit for quick data apps and prototyping dashboards

5:45 Dash - Plotly
Dash is a framework for building web-based dashboards using Plotly visualizations. It’s highly customizable and great for creating production-ready dashboards. Here’s an example:
Use Dash for production-ready dashboards and custom web apps.
Pros and Cons.

6:34 Voila
For Jupyter Notebooks
Voilà is a library for turning Jupyter notebooks into standalone web applications. It’s great for creating dashboards with interactive widgets. Here’s how to use it:
Recommendation:
Use Voilà for quick, interactive dashboards in Jupyter notebooks.

7:26 Conclusion
Code Example, Pros and Cons, Recommendations, more python libraries and modules.

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Topics covered include Streamlit, Data Engineering, Leafmap, GIS, Data Science, Dash, Python, Python Libraries, Data Analysis, Geographic Information Systems, Web Development, Mapping Tools, Open Source, Interactive Data Visualization, Voila, Visualization Tools, Data Dashboards and more...