spsphulse

spsphulse's Stars

• ReceiptManager/receipt-parser-legacy

  A supermarket receipt parser written in Python using tesseract OCR

  Language:Python815196

• 255kb/stack-on-a-budget

  A collection of services with great free tiers for developers on a budget. Sponsored by Mockoon, the best mock API tool. https://mockoon.com

  12.1k534

• Igglybuff/awesome-piracy

  A curated list of awesome warez and piracy links

  Language:HTML24.3k2.1k

• 4chan/4chan-API

  Documentation for 4chan's read-only JSON API.

  1k74

• cassidoo/scrapers

  A list of scrapers from around the web.

  625100

• adilkhash/Data-Engineering-HowTo

  A list of useful resources to learn Data Engineering from scratch

  3.5k506

• ericfourrier/gimmeproxy-api

  A Python wrapper for the GimmeProxy API (http://gimmeproxy.com/#api)

  Language:Python105

• jqlang/jq

  Command-line JSON processor

  Language:C30.6k1.6k

• jdepoix/youtube-transcript-api

  This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!

  Language:Python3k340

• ajcr/rolling

  Computationally efficient rolling window iterators for Python (sum, variance, min/max, etc.)

  Language:Python2028

• ajcr/100-pandas-puzzles

  100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

  Language:Jupyter Notebook2.6k3k

• goabstract/Marketing-for-Engineers

  A curated collection of marketing articles & tools to grow your product.

  12.8k923

• jgraph/drawio

  draw.io is a JavaScript, client-side editor for general diagramming.

  Language:JavaScript41.4k7.7k

• sjtuhjh/appdocs

  Application Performance Optimization Summary

  1.2k437

• k88hudson/git-flight-rules

  Flight rules for git

  41.9k3.2k

• mezod/awesome-indie

  Resources for independent developers to make money

  9.9k610

• marcobiedermann/search-engine-optimization

  🔍 A helpful checklist/collection of Search Engine Optimization (SEO) tips and techniques.

  2.4k295

• learnbyexample/Command-line-text-processing

  :zap: From finding text to search and replace, from sorting to beautifying text and more :art:

  Language:Shell10.2k712

• tech-cow/leetcode

  👏🏻 leetcode solutions for Humans™

  Language:Python1.3k305

• sharjeelsayed/learn.sharjeelsayed.com

  Curated Self Study Guide for Computer Science, DevOps, SRE & SysAdmin

  Language:HTML5318

• pyjanitor-devs/pyjanitor

  Clean APIs for data cleaning. Python implementation of R package Janitor

  Language:Python1.4k170

• nedanov/tree_feature_transformation

  an approach uses decision trees for feature transformation and then fits an L1 logit

  Language:Jupyter Notebook2

• barrust/pyspellchecker

  Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/

  Language:Python713165

• twintproject/twint

  An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

  Language:Python15.8k2.7k

• alessiamarcolini/deep-learning_best-practices

  10613

• Olow304/Data-Science-Machine-Learning

  The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

  Language:Jupyter Notebook10645

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.9k1.5k

• niudd/ICML-2017-Papers

  https://2017.icml.cc/Conferences/2017/Schedule

  7235

• karolzak/support-tickets-classification

  This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

  Language:Python16789

• ywchiu/python_for_data_science

  python_for_data_science

  Language:Jupyter Notebook153133