A "Best of the Best Practices" (BOBP) guide to developing in Python.
- "Build tools for others that you want to be built for you." - Kenneth Reitz
- "Simplicity is alway better than functionality." - Pieter Hintjens
Andre Cunha andrecunha
pachadotdev
/ 00-install-intel-mkl-64bit
Last active
February 4, 2021 07:59
Install Intel MKL (64 bit) on Ubuntu 17.10
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| # Option 1: Use apt-get | |
| # keys taken from https://software.intel.com/en-us/articles/installing-intel-free-libs-and-python-apt-repo | |
| cd ~/GitHub/r-with-intel-mkl/ | |
| wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB | |
| apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB | |
| sudo sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list' | |
| sudo apt-get update && sudo apt-get install intel-mkl-64bit |
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| " _____ __ __ _____ __________ _ ___ __ _ | |
| " / ____| \/ |_ _|___ / __ \| \ | \ \ / / (_) | |
| " | | | \ / | | | / / | | | \| |\ \_/ / ______ __ ___ _ __ ___ _ __ ___ | |
| " | | | |\/| | | | / /| | | | . ` | \ / |______| \ \ / / | '_ ` _ \| '__/ __| | |
| " | |____| | | |_| |_ / /_| |__| | |\ | | | \ V /| | | | | | | | | (__ | |
| " \_____|_| |_|_____/_____\____/|_| \_| |_| \_/ |_|_| |_| |_|_| \___| | |
| " | |
| " | |
| " 1. Easy navigation in .vimrc: | |
| " Use <Leader>ig to view indentation guides |
sloria
/ bobp-python.md
Last active
December 8, 2025 02:37
A "Best of the Best Practices" (BOBP) guide to developing in Python.
MohamedAlaa
/ tmux-cheatsheet.markdown
Last active
December 11, 2025 14:31
tmux shortcuts & cheatsheet
jboner
/ latency.txt
Last active
December 13, 2025 00:11
Latency Numbers Every Programmer Should Know
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| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
entaroadun
/ gist:1653794
Created
January 21, 2012 20:10
Recommendation and Ratings Public Data Sets For Machine Learning
Movies Recommendation:
- MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
- Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
- Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
- Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/
Music Recommendation:
- Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html
bradmontgomery
/ rvm_apache_passenger.txt
Created
January 10, 2012 04:45
RVM + Apache + passenger setup for Ubuntu
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| # Install rvm system-wide | |
| bash -s stable < <(curl -s https://raw.github.com/wayneeseguin/rvm/master/binscripts/rvm-installer ) | |
| # Update the packages | |
| apt-get update | |
| apt-get upgrade | |
| apt-get install build-essential | |
| # get the packages required by ruby | |
| rvm pkg install zlib |
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| # create stub, then run flask app in tornado on port 5000 (perhaps with supervisord config below http://supervisord.org/index.html) | |
| #!/usr/bin/env python | |
| from tornado.wsgi import WSGIContainer | |
| from tornado.httpserver import HTTPServer | |
| from tornado.ioloop import IOLoop | |
| from myflaskapp import app | |
| http_server = HTTPServer(WSGIContainer(app)) |