EPISODE · Feb 18, 2019 · 35 MIN
From Idea to App Fast
from Classe_2E · host davide
This podcast explores how developers can rapidly build and deploy interactive data applications using Streamlit and Neo4j. It discusses rapid prototyping techniques, graph data visualization, user interface development, and best practices for transforming graph data into powerful, user-friendly applications. Perfect for Python developers, data scientists, and software engineers looking to accelerate application development with modern tools.
What this episode covers
This podcast explores how developers can rapidly build and deploy interactive data applications using Streamlit and Neo4j. It discusses rapid prototyping techniques, graph data visualization, user interface development, and best practices for transforming graph data into powerful, user-friendly applications. Perfect for Python developers, data scientists, and software engineers looking to accelerate application development with modern tools.
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From Idea to App Fast
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