most comfortable and dynamic way to process binary data in Java and Android
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Updated
Nov 16, 2024 - Java
most comfortable and dynamic way to process binary data in Java and Android
Python library for reading, writing, and converting computational chemistry file formats and generating input files.
Declarative schemas for data transformations.
A minimalist data driven data model library, inspired by Clojure Spec and Malli.
CNN for airfoil lift-to-drag-ratio prediction
🌎 A visualization of ProductHunt users throughout the globe
A Java library for parsing binary data formats, using declarative descriptions.
A ruby gem to extract structured data from Google Local Search Results using the serpapi/bert-base-local-results model, enabling parsing, classification, and information extraction from English HTML content.
Everything you need to know about parsing prices in Python.
Data Parsing is used to run all the necessary scripts to populate our UWPath database.
Web Scraping and Data Parsing Using Beautiful Soup
Python scripts dedicated to automated parsing of Agilent TapeStation 2200 QC run reports for input into a LIMS system
CLI tool for sitemap generation
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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.
Small tool for aggregating and grouping data. Focused on simplicity, speed and memory efficiency. Written in C++. Created as offline interview task.
An automated tool for forensic investigations of social media accounts. Supports platforms like Facebook, Twitter, Instagram, Telegram, WhatsApp, etc.
Objective of this project is to create a database to centrally handle the information of all the players, games played & results, referee that can be used for simple data analysis using SQL Queries.
Databreeze is a python package that provides utilities to simplify common data science operations.
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