Converts Smartsheet sheets and reports to a Pandas DataFrame

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

Make awesome display tables using Python.

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

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

Py-Alpaca-Api is a python package aimed at simplifying communication with Alpaca Markets REST API

grinding algorithms until I lose my mind (JS, Java, Python, MySQL, PostgreSQL, Pandas)

Tools used to manipulate hydrograph data; Solinst xles to pandas dataframe; hydrograph analysis; hydrology; Gannt Charts; Piper diagrams; hydrogeology; wells; groundwater; USGS data; WQP data;

The objective of this project is to extract textual data articles from the given URL and perform text analysis to compute variables

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 helps user to perform trend analysis, pattern recognition, and deriving data insights through exploratory data analysis (EDA) for the Airbnb data. Created an interactive Powerbi dashboard to analyze Airbnb data.

Jupyter magics and kernels for working with remote Spark clusters

MongoDB integrations for Apache Arrow. Export MongoDB documents to numpy array, parquet files, and pandas dataframes in one line of code.

InfluxDB 2.0 python client

A simple pandas extension that enables users to execute SQL statements against DataFrames using in-memory SQLite.

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.

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

This code introduces a new point system for Formula One. The produced plots show for each driver on the grid, the points they have in contrast to what they could have in a different system after every race. Also one can see the difference in the constructors championship. #ALL DATA BELONG TO F1 AND THIS IS A FANMADE PROJECT#