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Joon Ro

Expert
@joonro

Staff Applied Scientist @Uber Freight. Use Python, Emacs (org-mode), LaTeX (LyX), git, PowerShell, Windows, and GNU/Linux

ConEmu-Color-Themes. Manually ported color themes for ConEmu

786

Get-ChildItemColor. Get-ChildItemColor provides colorized version of Get-ChildItem Cmdlet of PowerShell.

328

ConsoleZ-Color-Themes. Color Themes for ConsoleZ

48

Spyder-Color-Themes. Color Themes for Spyder (https://github.com/spyder-ide/spyder)

40

BLP-Python. BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)

39

fast-cubic-spline-python. Implementation of 1D and 2D fast spline interpolation algorithm (Habermann and Kindermann 2007) in Python

36

LyX-Color-Schemes. Color Themes for LyX

31

Org-Coursepack. The Org-Coursepack provides a template for developing and managing teaching materials using Org mode, a major mode in GNU Emacs.

25

Mendeley-Citation-Key-Renamer. Automatically renames citation keys for Mendeley reference manager.

9

List-of-Windows-Laptops-with-Precision-Touchpad. List of Windows Laptops with Precision Touchpad

5

vimoutliner. Work fast, think well.

1

statsmodels. Statsmodels: statistical modeling and econometrics in Python

1

scipy. Scipy main repository

1

CythonGSL. Cython interface for the GNU Scientific Library (GSL).

1

tomorrow-theme. Colour Schemes for Hackers

1

vim-tomorrow-theme. Tomorrow Theme for Vim

1

PyTexas_2015. HTML

1

zenburn-konsole. Zenburn for Konsole

1

php-markdown-extra-math. PHP Markdown Extra with support for jsMath

1

linearmodels. Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

1

mayavi. Python

1

SparkleShare. SparkleShare is an Open Source collaboration and sharing tool that is designed to keep things simple and to stay out of your way. http://www.sparkleshare.org/

1

pyipopt. A Python connector to IPOPT

1

ipython. Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

1

pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

1