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python-for-data-analysis

An introduction to data science using Python and Pandas with Jupyter notebooks

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

python-training

Python training for business analysts and traders

pytudes

Python programs to practice or demonstrate skills.

quantecon-notebooks-julia

quantecon.notebooks

Jupyter notebooks contributed by QuantEcon developers, users and the community

r-data-recipes

A cookbook of delectable data recipes in R.

r4ds

R for data science: a book

r4ds-exercise-solutions

Exercise solutions to "R for Data Science"

rayshader

R Package for 2D and 3D mapping and data visualization

rcrawler

An R web crawler and scraper

regmodsbook

A companion book for the Coursera Regression Models class

rscodeio

An RStudio theme inspired by Visual Studio Code.

rstudioconf2020slides

Links to slides for rstudio::conf 2020

rtools-packages

Toolchains and Static Libraries for Rtools 4.0 (GCC 8+)

rvest

Simple web scraping for R

sample-data

Metrica Sports sample tracking and event data

sample-vue-shop

A sample shop that shows how to manage payments with Vue, Stripe, and Serverless Functions

scrapy-idealista

Scrapping data from Real Estate site www.idealista.com

sf

Simple Features for R

sherlock

🔎 Find usernames across social networks

smltar

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

socviz

Support files for a data visualization course and book

spatialr

spdata

:exclamation: This is a read-only mirror of the CRAN R package repository. spData — Datasets for Spatial Analysis. Homepage: https://nowosad.github.io/spData/ Report bugs for this package: https://github.com/Nowosad/spData/issues

stanford-cs-106a

Women Learning Code references

stat-331

Materials for prerequisite course (Stat 331: Statistical Computing with R)

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

stats-illustrations

R & stats illustrations by @allison_horst

statsbombr

This repository is an R package to easily stream StatsBomb data from the API using your log in credentials or from the Open Data GitHub repository cost free into R .