Udemy - Analytics dashboard using python and plotly

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Udemy - Analytics dashboard using python and plotly (Size: 1 GB)
  1. Adding the Visuals to the App Layout.mp4 76.4 MB
  1. Catching Error with PreventUpdate.mp4 23.1 MB
  1. Conclusion.mp4 2.5 MB
  1. Create Callback Data.mp4 40.2 MB
  1. Create a Multi Page Dashboard.mp4 37.2 MB
  1. Creating Test Data.mp4 94.1 MB
  1. Deploying the Dashboard.mp4 55.9 MB
  1. Introduction.mp4 18.7 MB
  1. Layout Design and App Layout.mp4 43.4 MB
  1.1 Linkt to Github Repository containing all the code and instructions for deployment.html 102.4 B
  2. Adding a Slider.mp4 30.4 MB
  2. App Layout in Dash.mp4 197 MB
  2. Displaying Error with dash.no_update.mp4 24.3 MB
  2. Quick Error Fix.mp4 2.6 MB
  3. Creating the Visuals using Plotly Part 1.mp4 112.3 MB
  3. Determining which Input has fired using dash.callback_context.mp4 43.5 MB
  3. Multiple Output Callback.mp4 44.5 MB
  4. Creating the Visuals using Plotly Part 2.mp4 89.1 MB
  4. Improving Performance using Memoization.mp4 14 MB
  4. Multiple Input Callback.mp4 17.3 MB
  5. Chained Callback.mp4 75.4 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 23 total files

Description


Analytics dashboard using python and plotly
https://DevCourseWeb.com

Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 20 lectures (3h 29m) | Size: 1 GB

Learn how to create a visual dashboard using dash and plotly

What you'll learn
Create test data using pandas and numpy
Create comprehensive visuals using plotly
Create a dashboard layout using dash
Add additional functionality to the dashboard using dash callbacks
Deploy the dashboard on Heroku

Description
In this course you will learn to create various visuals and construct an aesthetic dashboard to showcase the visuals. Towards the end of the course you will learn how to add additional functionality to the dashboard and finally deploy the dashboard for production capabilities.

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