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Create DataFrame Applications with Streamlit and Pandas in Python

Python Tutorials for Digital Humanities via YouTube

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Learn how to create a DataFrame application using only two lines of Python code in this 13-minute tutorial video. Discover the power of combining Streamlit with Pandas to build interactive data applications efficiently. Follow along to understand the basics of importing Pandas, loading data, implementing queries, and handling multiselect functionality. Explore practical examples while learning about potential limitations and troubleshooting techniques. Perfect for developers interested in creating quick data visualization and manipulation tools with minimal code.

Syllabus

Intro
Overview
Importing Pandas
Loading Data
Querying Data
Limitations
Create Data
Multiselect
Troubleshooting

Taught by

Python Tutorials for Digital Humanities

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