lost-theory

import unittest
from app import app
from cStringIO import StringIO

class UploadTest(unittest.TestCase):
    def setUp(self):
        self.app = app
        self.app.config['TESTING'] = True
        self.client = self.app.test_client()

tmcdb

Integrating Stripe with Rails

This written tutorial covers building a payment system into a Rails app using Stripe.js. It assumes a basic familiarity with Ruby on Rails, Git and the command-line.

There is a slightly contracted version of this tutorial available here.

What's covered

• Setting up a basic Rails app with a scaffold generator
• Integrating Stripe charges

datagrok

When you cancel a Jenkins job

Unfinished draft; do not use until this notice is removed.

We were seeing some unexpected behavior in the processes that Jenkins launches when the Jenkins user clicks "cancel" on their job. Unexpected behaviors like:

• apparently stale lockfiles and pidfiles
• overlapping processes
• jobs apparently ending without performing cleanup tasks
• jobs continuing to run after being reported "aborted"

ianturton

package com.ianturton.cookbook.operations;

import java.util.List;

import javax.measure.Measure;
import javax.measure.quantity.Length;
import javax.measure.unit.SI;

import org.geotools.data.DataUtilities;
import org.geotools.feature.SchemaException;

spalladino

# Backup
docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

# Restore
cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

JonCole

Some of the Redis best practices content has moved

This content from this markdown file has moved a new, happier home where it can serve more people. Please check it out : https://docs.microsoft.com/azure/azure-cache-for-redis/cache-best-practices.

NOTE: Client specific guidance listed below is still valid and should still be considered. I will update this document once all content has been moved.

fchollet

from keras.models import Sequential
from keras.layers import Dense

x, y = ...
x_val, y_val = ...

# 1-dimensional MSE linear regression in Keras
model = Sequential()
model.add(Dense(1, input_dim=x.shape[1]))
model.compile(optimizer='rmsprop', loss='mse')

cgarciae

nvidia-docker with docker-compose

Setup

1. Install nvidia-docker-plugin
2. Reboot (for some reason)
3. On the folder with this docker-compose.yml file do

docker-compose up