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dypsilon
/ frontendDevlopmentBookmarks.md
Last active
March 3, 2026 20:57
A badass list of frontend development resources I collected over time.
killercup
/ pandoc.css
Created
July 3, 2013 11:31
Add this to your Pandoc HTML documents using `--css pandoc.css` to make them look more awesome. (Tested with Markdown and LaTeX.)
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| /* | |
| * I add this to html files generated with pandoc. | |
| */ | |
| html { | |
| font-size: 100%; | |
| overflow-y: scroll; | |
| -webkit-text-size-adjust: 100%; | |
| -ms-text-size-adjust: 100%; | |
| } |
spacelis
/ stratified.py
Created
July 26, 2013 12:54
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| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """ | |
| File: stratified.py | |
| Author: SpaceLis | |
| Email: Wen.Li@tudelft.nl | |
| Github: http://github.com/spacelis | |
| Description: | |
| Sampling in a stratified way. That is sampling from each subpopulation to | |
| make the sample set more representative than simple random sampling. For |
jackiekazil
/ rounding_decimals.md
Last active
January 17, 2024 12:29
How do I round to 2 decimals in python?
In python, you have floats and decimals that can be rounded. If you care about the accuracy of rounding, use decimal type. If you use floats, you will have issues with accuracy.
All the examples use demical types, except for the original value, which is automatically casted as a float.
To set the context of what we are working with, let's start with an original value.
sloria
/ bobp-python.md
Last active
February 24, 2026 02:09
A "Best of the Best Practices" (BOBP) guide to developing in Python.
- run Cygwin setup.exe
- install these packages that are not installed by default: automake, gcc, git and pkg-config
- browse http://libevent.org
- download libevent-2.0.21-stable.tar.gz
kevin-smets
/ iterm2-solarized.md
Last active
March 3, 2026 00:27
iTerm2 + Oh My Zsh + Solarized color scheme + Source Code Pro Powerline + Font Awesome + [Powerlevel10k] - (macOS)
egobude
/ install_netextender_ubuntu_64_bit
Last active
November 14, 2024 11:21
Install NetExtender | Ubuntu 64 Bit
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| 1. go to https://sslvpn.demo.sonicwall.com/cgi-bin/welcome | |
| 2. log in with demo/password | |
| 3. click on NetExtender icon, this will download a tar.gz with the client | |
| 4. sudo ln -s /lib/x86_64-linux-gnu/libssl.so.1.0.0 /usr/lib/libssl.so.6 | |
| 5. sudo ln -s /lib/x86_64-linux-gnu/libcrypto.so.1.0.0 /usr/lib/libcrypto.so.6 | |
| 6. un-tar the client, make install script executable and launch install |
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| # coding: utf-8 | |
| # | |
| # fuckda.py - Uso de certificados de la FNMT con Python | |
| # | |
| # Autor: Juan Luis Cano Rodríguez <juanlu001@gmail.com> | |
| # | |
| # Instrucciones: | |
| # | |
| # 1. Exportar certificado (CERTIFICADO.p12) | |
| # https://www.sede.fnmt.gob.es/preguntas-frecuentes/exp-imp-y-elim-de-certificados |
davidrpugh
/ conda_instructions.md
Last active
January 28, 2025 17:58
Instructions for setting up a Conda development environment
We recommend that you set up a Python environment for developing quantecon that is separate from the "default" Python environment that you use in your own research. This will allow you to contribute to quantecon without worrying about corrupting the Python environment on which your other work depends.
Below are instructions for building a separate development environment for contributing to the quantecon package using the Conda package management system which comes bundled with the Anaconda Python distribution provided by Continuum Analytics.
Fork and clone a copy of the quant-econ repository on to your local machine.