Best-Ever-Streamlit-Applications

Best-Ever-Streamlit-Applications

Project Previews

Project 1: Streamlit Magic Cheat Sheets

In the scope of this project, I have meticulously crafted comprehensive cheat sheets encompassing all aspects of Streamlit within a single Streamlit application. These cheat sheets are available in English, Français, and Deutsch, ensuring accessibility for a diverse audience. The application comprises over 15,000 lines of code, featuring custom functions meticulously designed to elucidate the visual output of the code snippets. Additionally, a robust documentation framework has been established to provide users with clear insights and guidance throughout their interaction with the application.

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Project 2: Stats Mosaic Streamlit

Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.

Project 3: Everyday Python Sheets

Everyday Python Sheets – your go-to resource for everyday Python cheat sheets, pro tips, interview questions, Python one-liners, and Python data structures. Whether you’re a beginner looking to learn Python or an experienced developer seeking quick reference materials, this Streamlit application has got you covered.

Project 4: Superstore Sales Dashboard with Streamlit

Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance, Shippin analysis and Location analysis.

Technologies Used

• Streamlit: Streamlit is the backbone of this portfolio, enabling seamless integration of interactive data apps into a web interface.
• Python: Python is used for scripting and data analysis in all the projects showcased here.
• [Other Technologies]: Mention any other relevant technologies or libraries used in respective projects.

Author

• ©2023 Tushar Aggarwal. All rights reserved
• LinkedIn
• Medium
• Tushar-Aggarwal.com
• X
• Data Unboxed Newsletter
• HuggingFace
• DagsHub
• Hashnode
• NovyPro
• New Kaggle