maccman

import os
from flask import Flask, render_template, request
import stripe

stripe_keys = {
  'secret_key': os.environ['SECRET_KEY'],
  'publishable_key': os.environ['PUBLISHABLE_KEY']
}

stripe.api_key = stripe_keys['secret_key']

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

odyniec

import shutil, tempfile
from os import path
import unittest

class TestExample(unittest.TestCase):
    def setUp(self):
        # Create a temporary directory
        self.test_dir = tempfile.mkdtemp()

    def tearDown(self):

magicznyleszek

CSS Selectors Cheatsheet

Hi! If you see an error or something is missing (like :focus-within for few years :P) please let me know ❤️

Element selectors

Element -- selects all h2 elements on the page

h2 {

baraldilorenzo

##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

GilLevi

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

Convolutional neural networks for emotion classification from facial images as described in the following work:

Gil Levi and Tal Hassner, Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns, Proc. ACM International Conference on Multimodal Interaction (ICMI), Seattle, Nov. 2015

Project page: http://www.openu.ac.il/home/hassner/projects/cnn_emotions/

If you find our models useful, please add suitable reference to our paper in your work.

bishboria

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

szagoruyko

AlexNet trained in Torch7

Trained by me using https://github.com/soumith/imagenet-multiGPU.torch, achieves 56.7% top1 center crop accuracy on ImageNet validation set. Tested here: https://github.com/szagoruyko/imagenet-validation.torch

Download link: https://yadi.sk/d/uX6id_yZoU8FC (247 MB)

Load as:

EderSantana

Code for Keras plays catch blog post

Train

python qlearn.py

Test

1. Generate figures