awd

OH NO! It turns out that simple one-port SSH Tunnels won't work for FTP since it uses another random port to actually transfer data.  No problem!  SOCKS Proxy to the rescue!

This assumes that you have SSH access to a server that can successfully connect to the FTP server you want access to.

On your local execute (if you have a woople ssh alias setup):
ssh -ND 1234 woople

You'll need an FTP client that supports SOCKS Proxies.  I recommend Filezilla. Enter localhost:1234 as your SOCKS proxy server and connect to the FTP server using its regular internet address (as though you were connecting from your production server). SWEEEET!

hrldcpr

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

walkermatt

from threading import Timer


def debounce(wait):
    """ Decorator that will postpone a functions
        execution until after wait seconds
        have elapsed since the last time it was invoked. """
    def decorator(fn):
        def debounced(*args, **kwargs):
            def call_it():

jkp

import struct
import SocketServer
from base64 import b64encode
from hashlib import sha1
from mimetools import Message
from StringIO import StringIO

class WebSocketsHandler(SocketServer.StreamRequestHandler):
    magic = '258EAFA5-E914-47DA-95CA-C5AB0DC85B11'

dbartow

IPython Installation

  1. Install Git
    1. sudo apt-get install git
  2. Install IPython from GitHub server
    1. git clone --recursive https://github.com/ipython/ipython.git (this clones the git repo into a directory called ‘ipython’ located in the directory you run the command from)
  3. Run the IPython setup script
    1. cd into the ‘ipython’ directory created in the previous step
    2. sudo python setup.py install
  4. Set up a self-signed certificate for SSL (still results in warning in the browser but allows for SSL)

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

erikbern

# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
#
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
#
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

# Install various packages
sudo apt-get update

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

bayesian_neural_network.ipynb

maartenbreddels

import threading
from IPython.display import display
import ipywidgets as widgets
import time
def get_ioloop():
    import IPython, zmq
    ipython = IPython.get_ipython()
    if ipython and hasattr(ipython, 'kernel'):
        return zmq.eventloop.ioloop.IOLoop.instance()
ioloop = get_ioloop()