Udemy - Interactive Map Visualization with Kepler GL and Streamlit

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Udemy - Interactive Map Visualization with Kepler GL and Streamlit (Size: 1.7 GB)
  1 -Applying Custom Map Styles with Mapbox.mp4 117.3 MB
  1 -Course Introduction.mp4 21.2 MB
  1 -Interacting with Kepler Demo UI without Code.mp4 127.2 MB
  1 -Streamlit Basics.mp4 53.5 MB
  1 -Why Experiment in Google Colab.mp4 23.5 MB
  1 -kepler.url 0 B
  1 -mapbox.url 0 B
  1 -streamlit.url 0 B
  2 -Base Map and Config Extraction.mp4 89.9 MB
  2 -Data Sources.mp4 27 MB
  2 -Displaying a Base Map in Streamlit.mp4 42.8 MB
  2 -New York Borough Boundaries.url 102.4 B
  2 -New York City Taxi Trip Duration.url 102.4 B
  2 -Troubleshooting Mapbox Style Issues.mp4 23.5 MB
  3 -Adding Boundary Layers to the Map.mp4 83 MB
  3 -Boundary Layer and Config Extraction.mp4 93.5 MB
  3 -H3 Data Generation.mp4 69.9 MB
  3 -H3 resolution.url 102.4 B
  3 -Uber Blog.url 102.4 B
  4 - Code and Data for this course.html 102.4 B
  4 -Adding Point Layers to the Map.mp4 115 MB
  4 -Point Layer and Config Extraction.mp4 108.5 MB
  5 -Adding H3 Layers to the Map.mp4 106.3 MB
  5 -H3 Layer and Config Extraction.mp4 101.3 MB
  6 -Adding Line Layers to the Map.mp4 120.3 MB
  6 -Line Layer and Config Extraction.mp4 218.2 MB
  7 -Organizing Extracted Config.mp4 42.7 MB
  7 -Setting the Layer Order.mp4 65.4 MB
  8 -Deploying an App with Streamlit Cloud.mp4 45.4 MB
  8 -github.url 0 B
  8 -streamlit cloud.url 0 B
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 34 total files

Description


Interactive Map Visualization with Kepler GL and Streamlit

https://DevCourseWeb.com

Published 11/2024
Created by Kyla Kim
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 56m ) | Size: 1.65 GB

Visualizing Maps with Kepler GL, Sharing Maps with Streamlit, and Customizing Map Styles with Mapbox

What you'll learn
Mastering Kepler GL UI: Use the Kepler GL to understand the basics of the UI and how to interact with it for map visualization tasks.
Kepler GL Config Extraction: Visualize various data types (Basic Map, Boundary, Point, H3, Line), and extract their configurations.
Sharing Map Visualizations with Streamlit: Use Streamlit to share maps with other users effectively.
Customizing Map Styles with Mapbox: Apply custom map styles using Mapbox to create unique and personalized visualizations.
H3 Data Generation: Learn how to convert point data into hexagon data, preparing for efficient spatial data visualization.

Requirements
Basic Python skills required: Familiarity with Python, pip for library installation, and basic GitHub usage will make it easier to follow this course.

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