From Idea to App Fast episode artwork

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.

Episode metadata supplied by the publisher feed · Published Feb 18, 2019

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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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...

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