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julia_macro

Macroeconomics using Julia for my practice

juliatutorial

Julia Tutorial for Finance and Econometrics Students

juliatutorials

Learn Julia via interactive tutorials!

juliaworkshop

Materials for a workshop on Julia programming at UW-Madison Statistics Dept. in June 2014

jupyter

Jupyter metapackage for installation, docs and chat

jupyter-bayes

Jupyter environment made for Bayesian inference and graphical modeling

jupyter-edu-book

Teaching and Learning with Jupyter

jupyter-guide-to-linear-algebra

A Jupyter book intended as an introduction to linear algebra with Jupyter notebooks.

jupyter-notebooks

Notebooks in Python and R

jupyter-notebooks-tools

This reposity contains toolboxes on various topics in Python (such as manipulating data with pandas, simulations using numpy, list comprehensions, etc). If unable to see ipynb files, go to https://nbviewer.jupyter.org/ and paste in the link.

jupyter-workshop

🪐 Material for the Jupyter notebooks workshops with edlab

jupyter-workshop-1

A collection of Jupyter notebooks for use in a workshop intended to introduce Jupyter and several Python modules.

jupyter_notebooks

Jupyter notebooks illustrating solutions to computational macroeconomic problems

jupytext

Jupyter notebooks as Markdown documents, Julia, Python or R scripts

just-enough-r

Just Enough R (for psychologists)

jwmi.github.io

Website

kaist-summer-session2018

KAIST Summer Session 2018 - Research Design for Data Analytics

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kcni-school-lessons

A collection of code and lessons for the KCNI Summer School

kdd2021-tutorial

EconML/CausalML KDD 2021 Tutorial

keio_workshop

For the QuantEcon lecture at Keio in October 2016

km_workshop

knitr_case_studies

Inference case studies in knitr

knowlabshiny

knowledge-economy-and-economic-growth

koop-textbook-exercises

Python solutions to Gary Koop's "Analysis of Economic Data" (4th ed., 2013)

kphd_css

Kellogg PhD Computational Social Science: Methods and Applications

kruschke-doing_bayesian_data_analysis

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

kruschke-notes

Notes to accompany Kruschke's Doing Bayesian Analysis

la-spring16

Learning analytics course at UMN, Spring'16