katopz

#!/usr/bin/bash

# Download zeromq
# Ref http://zeromq.org/intro:get-the-software
wget https://github.com/zeromq/libzmq/releases/download/v4.2.2/zeromq-4.2.2.tar.gz

# Unpack tarball package
tar xvzf zeromq-4.2.2.tar.gz

# Install dependency

jarmitage

https://github.com/yaxu/deadpatterns

https://github.com/yaxu/embedded

https://github.com/kindohm/365tidalpatterns

https://github.com/kindohm/expedition

https://github.com/kindohm/live-2016

anj1

import types
import tensorflow as tf 
import numpy as np

# Expressions are represented as lists of lists,
# in lisp style -- the symbol name is the head (first element)
# of the list, and the arguments follow.

# add an expression to an expression list, recursively if necessary.
def add_expr_to_list(exprlist, expr):

danijar

# Example for my blog post at:
# https://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf


def lazy_property(function):
    attribute = '_' + function.__name__

NoRaincheck

import Tkinter
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure

class App:
    def __init__(self, master):
        # Create a container
        frame = Tkinter.Frame(master)
        # Create 2 buttons
        self.button_left = Tkinter.Button(frame,text="< Decrease Slope",

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!






\

adewes

import random

def get_random_color(pastel_factor = 0.5):
    return [(x+pastel_factor)/(1.0+pastel_factor) for x in [random.uniform(0,1.0) for i in [1,2,3]]]

def color_distance(c1,c2):
    return sum([abs(x[0]-x[1]) for x in zip(c1,c2)])

def generate_new_color(existing_colors,pastel_factor = 0.5):
    max_distance = None