zaddyy-ca

zaddyy-ca's Stars

• public-apis/public-apis

  A collective list of free APIs

  Language:Python320k34k

• freeCodeCamp/freeCodeCamp

  freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

  Language:TypeScript407k38.3k

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python279k46.8k

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  308k77.1k

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript120k14.8k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k45.9k

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  Language:HTML341k62k

• mtdvio/every-programmer-should-know

  A collection of (mostly) technical things every software developer should know about

  85.6k7.9k

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript302k39.5k

• Fewbytes/rubber-docker

  A workshop on Linux containers: Rebuild Docker from Scratch

  Language:Python3k239

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown318k29.5k

• cjbt/Free-Algorithm-Books

  1.7k

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k937

• michaelbschulte21/7330_final_project

  Language:R1

• dataprofessor/rshiny_freecodecamp

  Language:R4947

• PacktPublishing/Azure-Data-Engineering-Cookbook

  Azure Data Engineering Cookbook, published by Packt

  Language:PowerShell5753

• PacktPublishing/Azure-Data-Engineering-Cookbook-2nd-edition

  Azure Data Engineering Cookbook 2nd-edition, published by Packt

  Language:Jupyter Notebook3135

• chhantyal/parquet-cli

  Command line (CLI) tool to inspect Apache Parquet files on the go

  Language:Python17710

• pola-rs/polars-book

  Book documentation of the Polars DataFrame library

  Language:Makefile185115

• anujtiwari21/Machine_Learning_Random_Forest

  Language:HTML21

• ms2ag16/Books

  1k333

• tanyazyabkina/GA4_API_python

  Download GA4 data summaries using Google Analytics Data API and python

  Language:Jupyter Notebook249

• googleapis/java-analytics-data

  This library has moved to https://github.com/googleapis/google-cloud-java/tree/main/java-analytics-data.

  3419

• jbertscher/ga-bigquery

  Load and combine Google Analytics data sitting in different views in BigQuery into a single pandas DataFrame

  Language:Python1

• jth1911/beam-py-csv2bq-autoschema

  Load CSV file to BigQuery using Apache Beam Python and automatically recognize schema

  Language:Python2

• nodematiclabs/jupyter-permissions-test

  Example code to test integration of Jupyter notebooks with Google Cloud Platform

  Language:Python1

• janlukasschroeder/nlp-cheat-sheet-python

  NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

  Language:Jupyter Notebook22266

• openai/gpt-3

  GPT-3: Language Models are Few-Shot Learners

  15.7k2.3k

• wilfredinni/python-cheatsheet

  All-inclusive Python cheatsheet

  Language:Vue4.4k1.3k

• Ebazhanov/linkedin-skill-assessments-quizzes

  Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  28.5k13.3k