Python library for reading, writing, and converting computational chemistry file formats and generating input files.

CNN for airfoil lift-to-drag-ratio prediction

Web Scraping and Data Parsing Using Beautiful Soup

Data Parsing is used to run all the necessary scripts to populate our UWPath database.

This project employed Selenium for web scraping on Glassdoor, extracting key job insights. The Python script, utilizing Pandas, dynamically navigated pages, extracting details. XPath usage, dynamic scraping, and Chrome options configuration streamlined the process.

A real-time notification system that monitors the Florida Highway Patrol incident database statewide. It sends alerts with location, remarks, and report time, logs all CAD calls, and provides follow-up updates showing previous incident details. The system standardizes location data and generates Google Maps links. Not affiliated with FHP.

Python: different tasks to be completed under one repo

CLI tool for sitemap generation

Read Neware nda and ndax files fast

An end‑to‑end real-time analytics & anomaly detection with PySpark Structured Streaming on user activity logs from Kafka

Python scripts dedicated to automated parsing of Agilent TapeStation 2200 QC run reports for input into a LIMS system

eSmart-LIS-Connector is a lightweight tool for connecting medical analyzers to a Laboratory Information System (LIS). Real-time data exchange, parsing, and database integration for lab automation are made possible by its support of ASTM and HL7 protocols over serial and network ports.

Task

scrapy_parser_pep is an asynchronous parser for compiling Python Enhancement Proposals (PEPs) from the official Python website, creating detailed CSV reports on PEPs' statuses and summaries.

Load PASCAL VOC data

Attempts to correct the arbitrary filenames of photos/videos/audio downloaded from Instagram based on the time they were sent.

This project includes a variety of beginner-friendly Python exercises that cover essential programming concepts such as user input handling, basic algorithms, password validation, API requests, and character-based games, providing hands-on experience for learning Python fundamentals.

bs4_parser_pep is a Python-based tool for efficiently parsing and compiling Python documentation and PEPs from the official Python website, featuring cached sessions and multiple display options.

Python scraper optimized to fetch DSE data using just 6.5 MB of RAM, outputting results as a dictionary

Oversimplistic asynchronous web api for receiving data from the Moscow Exchange.