dianaow / flask-react-d3-celeryLinks
A full-stack dockerized web application to visualize Formula 1 race statistics from 2016 to present, with a Python Flask server and a React front-end with d3.js as data visualization tool.
☆43Updated 3 years ago
Alternatives and similar repositories for flask-react-d3-celery
Users that are interested in flask-react-d3-celery are comparing it to the libraries listed below
Sorting:
- Tutorials & articles on Python, leetcode problems, pandas, and more.☆27Updated 2 years ago
- A template for a dash applicaiton☆57Updated 3 years ago
- An interactive dashboard built on Flask and D3.js☆31Updated 7 years ago
- [Archived! Check out http://ericmjl.github.io/Network-Analysis-Made-Simple/] A short tutorial on network analysis using Game of Thrones, …☆69Updated 5 years ago
- Build a Graph Database of Good Reads book data to recommend novel novels to users☆26Updated 2 years ago
- Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.☆39Updated 3 years ago
- A guide on creating and deploying your Streamlit application to Heroku☆49Updated last year
- basic pandas tutorials☆52Updated 8 years ago
- Project template for highly effective data science workflows☆29Updated last month
- Code, slides, and documentation for the talks I have given.☆113Updated 6 months ago
- The simplest complex example that I can think of to show main Flask app concepts.☆47Updated last week
- Interactive visualization of machine learning model evaluation metrics☆65Updated 6 years ago
- Example of an ETL Pipeline using Airflow☆38Updated 8 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 7 years ago
- Start your journey into social media analysis of politicans by using Python (Tutorial)☆21Updated 6 years ago
- A brief guide and tutorial on how to clean data using pandas and Jupyter notebook☆44Updated last year
- Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning☆27Updated 2 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆39Updated 3 years ago
- Experimenting with and teaching probabilistic programming☆106Updated 3 years ago
- Files to back articles written on the URL https://medium.com/@suemnjeri☆29Updated 6 months ago
- Blog post on using D3 with flask☆41Updated 5 years ago
- A tutorial on streaming data from a Flask REST API and streaming the response into PostgreSQL☆39Updated 6 years ago
- code for http://www.python4cpas.com/☆36Updated 6 years ago
- Gentle introduction to dash development and deployment via Heroku☆11Updated 3 years ago
- There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.☆90Updated 3 years ago
- datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest…☆58Updated 4 years ago
- An overview of the Folium library to visualize Geospatial data☆19Updated 7 years ago
- A tutorial on how to use Panel and Altair to create a simple data dashboard app.☆24Updated 3 years ago
- This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.☆10Updated 8 years ago
- Learn how to build a data analysis library from scratch☆209Updated 3 years ago