A native Rust library for Delta Lake, with bindings into Python

Easily generate information-rich, publication-quality tables from Python

A light-weight, flexible, and expressive statistical data testing library

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

Working with Alpaca's API, to help make develping strategies an easier task

Seamlessly switch Pandas DataFrame backend to PyArrow.

Task is to predict median house values in Californian districts, given a number of features from these districts.

The objective of this project is to write code to visualize the impact and analyze the trend rate of infection and recovery as well as make predictions about the number of cases expected a week in the future based on the current trends based on given data about COVID-19 patients.

In this Study, To answer the Questions on the given Dataset we have used pandas, matplotlib and tkinter for the GUI

stack overflow search queryies - sosq : This project fetches StackOverflow API returns a dataframe

InfluxDB 2.0 python client

A scraping based in bs4, pd, csv focused on prices and products on a website

This project facilitates users to retrieve PhonePe transaction and user data, store it in a MySQL database. Subsequently, the stored data is visualized in a Streamlit web application using Plotly and Pandas DataFrame.

This project enables users to fetch data from YouTube by utilizing the YouTube Data API key. The retrieved data is then stored in a MySQL database. Subsequently, the stored data is analyzed and presented in a Streamlit web application using Pandas DataFrame.

台灣選舉資料 (目前是2018議員)

A project about an analization of a statistic of damaged logging (wood) in Germany using Python.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

This project delves into product sales data, utilizing Python for thorough analysis. Through Python's data analysis capabilities, we dissect transactional data to extract insights on product. The aim is to provide actionable intelligence to inform strategic business decisions, such as optimizing pricing and identifying growth opportunities.

Leetcode

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.