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
var countries_data = {"type":"FeatureCollection","features":[ | |
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[[[[74.92,37.24],[74.57,37.03],[72.56,36.82],[71.24,36.13],[71.65,35.42],[71.08,34.06],[69.91,34.04],[70.33,33.33],[69.51,33.03],[69.33,31.94],[66.72,31.21],[66.26,29.85],[62.48,29.41],[60.87,29.86],[61.85,31.02],[60.84,31.5],[60.58,33.07],[60.94,33.52],[60.51,34.14],[61.28,35.61],[62.72,35.25],[63.12,35.86],[64.5,36.28],[64.8,37.12],[66.54,37.37],[67.78,37.19],[69.32,37.12],[70.97,38.47],[71.59,37.9],[71.68,36.68],[73.31,37.46],[74.92,37.24]]]]},"properties":{"name":"Afghanistan"},"id":"AF"}, | |
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[[[[19.44,41.02],[19.37,41.85],[19.65,42.62],[20.07,42.56],[20.59,41.88],[20.82,40.91],[20.98,40.86],[20.01,39.69],[19.29,40.42],[19.44,41.02]]]]},"properties":{"name":"Albania"},"id":"AL"}, | |
{"type":"Feature","geometry":{"type":"MultiPolygon","coordinates":[[[[2.96,36.8],[8.62,36.94],[8.18,36.52],[8.25,34.64],[7.49,33.89],[9.06,3 |
# install dependencies | |
sudo apt-get update | |
sudo apt-get install -y build-essential | |
sudo apt-get install -y cmake | |
sudo apt-get install -y libgtk2.0-dev | |
sudo apt-get install -y pkg-config | |
sudo apt-get install -y python-numpy python-dev | |
sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev | |
sudo apt-get install -y libjpeg-dev libpng-dev libtiff-dev libjasper-dev | |
#!/bin/bash | |
# install CUDA Toolkit v8.0 | |
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)) | |
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb" | |
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG} | |
sudo dpkg -i ${CUDA_REPO_PKG} | |
sudo apt-get update | |
sudo apt-get -y install cuda |
Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
3/18/2021: WE HAVE MOVED: For the latest instructions on how to use the bulk wells fargo PDF downloader, | |
please ignore this page and visit below: | |
https://github.com/binary1230/wellsfargo-bulk-PDF-statement-downloader/blob/main/README.md | |
#!/bin/bash | |
# node.js using PPA (for statsd) | |
sudo apt-get install python-software-properties | |
sudo apt-add-repository ppa:chris-lea/node.js | |
sudo apt-get update | |
sudo apt-get install nodejs npm | |
# Install git to get statsd | |
sudo apt-get install git |