Learn to create interactive data visualization GUIs using Dash and Python in this comprehensive tutorial. Begin with an introduction to Dash, then progress through building interactive user interfaces, dynamic graphs based on user input, and live graphs with events. Apply your skills to real-world examples, including a vehicle sensor data app and sentiment analysis using TextBlob and VADER. Explore advanced topics such as streaming tweets, reading from sentiment databases, and creating live Twitter sentiment graphs. Master the art of dynamically graphing terms for sentiment analysis, and learn how to deploy your Dash app. Conclude with a full Dash app implementation, solidifying your understanding of data visualization GUI development with Python.
Overview
Syllabus
Intro - Data Visualization GUIs with Dash and Python p.1.
Interactive User Interface - Data Visualization GUIs with Dash and Python p.2.
Dynamic Graph based on User Input - Data Visualization GUIs with Dash and Python p.3.
Live Graphs with Events - Data Visualization GUIs with Dash and Python p.4.
Vehicle sensor data App Example - Data Visualization GUIs with Dash and Python p.5.
Sentiment Analysis in Python with TextBlob and VADER Sentiment (also Dash p.6).
Streaming Tweets and Sentiment - Data Visualization GUIs with Dash and Python p.7.
Reading from our sentiment database - Data Visualization GUIs with Dash and Python p.8.
Live Twitter Sentiment Graph - Data Visualization GUIs with Dash and Python p.9.
Dynamically Graphing Terms for Sentiment - Data Visualization GUIs with Dash and Python p.10.
Deploy Dash App - Data Visualization GUIs with Dash and Python p.11.
Full Dash App - Data Visualization GUIs with Dash and Python p.12.
Taught by
sentdex
