Building the Frontend of Python Web Applications with Streamlit
Build robust front-end Python web applications with Streamlit. Explore integrating Python libraries, creating visualizations, interactive widgets, and deploying on Streamlit cloud.
5.0
31 Lessons
3h 25min
Join 2.8 million developers at
Python is the premier programming language for data science and machine learning, but its native strengths for back-end development can leave developers scrambling for a front-end solution. Enter Streamlit, a robust open-source library for developing front-end applications with Python.
This course is a comprehensive introduction to building Streamlit applications integrated with different Python libraries. You’ll be walked through successive projects to create visualizations, display interactive widgets, and customize layouts. You won’t just display data but work on data transformations using Streamlit interfaces and become familiar with basic functionality for native Python applications like caching and placeholders. You’ll wrap up with deploying your application using the Streamlit cloud.
By the end of this course, you’ll be ready to give your Python-based data science and machine learning applications robust user interfaces using Streamlit.
Python is the premier programming language for data science and machine learning, but its native strengths for back-end developm...Show More
WHAT YOU'LL LEARN
A working knowledge of the training and testing methods for machine learning models in Python
A strong foundation in developing user interfaces (UI) using the Streamlit framework
An understanding of translating various data science libraries, including Scikit-learn, into a front-end UI
A deep familiarity with various web scraping techniques to gather various data and present it in a native web application
Hands-on experience using AssemblyAI, Streamlit, and Heroku to develop, skin, and deploy complete web applications
A working knowledge of the training and testing methods for machine learning models in Python
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Learning Roadmap
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