kartechbabu Goto Github PK

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pyomogettingstarted

IPython notebooks that illustrate the Pyomo optimization modeling software

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

pysal-workshops

python-guide

Python best practices guidebook, written for humans.

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

python-webscraping-workshop

In this course you will learn the basics of Python programming as well as the details on how to program a web-scraper. A web-scraper is a small program that automatically opens websites and searches for specified data.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

quantecon-notebooks-datascience

Jupyter Notebooks for https://datascience.quantecon.org

quantecon-notebooks-julia-colab

Colab notebooks for the QuantEcon Julia lectures

quantecon-notebooks-python

A Repository of Notebooks for the Python Lecture Site

quantecon.py

A community based Python library for quantitative economics

r-network-visualization-basics-to-advanced

Basic and advanced network visualization with R - code and tutorial from my Sunbelt 2016 workshop.

r-network-visualization-workshop

Static and dynamic network visualization with R - code and tutorial from Polnet 2016 workshop.

r-spatial

Materials for my my R data workshop. https://cengel.github.io/R-spatial/

r4ds

R for data science

regexplain

Rstudio addin to help you with your regexes (in progress)

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rmemore

replicates memore function

rpubs-rspatial

Tutorials for my workshops

rspatial

R notebooks for spatial workshops

sars2pack

An R package with nearly 40 highly cited, read-to-use, up-to-date COVID-19 pandemic data resources

sas

This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience.

seattle-pl-trends

Exploring and analyzing the open-sourced data from Seattle PL (can be found here https://data.seattle.gov/) to find checkout trends.

sensors4plumes

R package to optimise sensor networks for plume monitoring

sensors4plumesdata

shiny-apps

R Shiny apps

shinyapps

Archived Shiny apps dating back to 2012.