richardotis

"""
This module manages interactions with the autograd library.
"""
import autograd.numpy as anp
import numpy as np
from autograd import elementwise_grad, jacobian
from sympy import lambdify
# NumPyPrinter requires unreleased sympy 0.7.7 (in sympy master)
# if you aren't using Piecewise or logical operators
# you can change NumPyPrinter to LambdaPrinter in this module

whophil

start on filesystem or runlevel [2345]
stop on shutdown

description "Jupyter / IPython Notebook Upstart script"

script  
    export HOME="/home/phil/Notebooks"; cd $HOME
    echo $$ > /var/run/ipython_start.pid
    exec su -s /bin/sh -c 'exec "$0" "$@"' phil -- /home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config='/home/phil/.jupyter/jupyter_notebook_config.py'
end script

mages

# Create some sample data
CV_1 <- 0.2
CV_2 <- 0.3
Mean <- 65
sigma_1 <- sqrt(log(1 + CV_1^2))
mu_1 <- log(Mean) - sigma_1^2 / 2
sigma_2 <- sqrt(log(1 + CV_2^2))
mu_2 <- log(Mean) - sigma_2^2 / 2
q <- c(0.25, 0.5, 0.75, 0.9, 0.95) 
SummaryTable <- data.frame(

dchaplinsky

import requests
import json
from time import sleep

data = []

print("Fetching page #%s" % 1)

r = requests.get("http://declarations.com.ua/search?format=opendata").json()
data += r["results"]["object_list"]

bmcfee

import zmq
import time
from multiprocessing import Process
import numpy as np
from pprint import pprint
import json

np.set_printoptions(precision=3)

bmcfee

import zmq
import time
from multiprocessing import Process
import numpy as np

np.set_printoptions(precision=3)

def send_array(socket, A, flags=0, copy=True, track=False):
    """send a numpy array with metadata"""
    md = dict(dtype=str(A.dtype), shape=A.shape)

HHammond

import numpy as np
import pandas as pd  
from functools import partial

def summary(df, fn=np.sum, axis=0, name='Total',  
            table_class_prefix='dataframe-summary'):
    """Append a summary row or column to DataFrame.

    Input:
    ------

atinfinity

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/ocl/ocl.hpp>

// cl_mem構造体を参照するためにインクルード
#if defined __APPLE__
#include <OpenCL/cl.h>
#else
#include <CL/cl.h>
#endif

moorepants

Testing results.

Timing the functions.

Timing: cython
cython time: 0.00288254904747 s

Timing: numpy_broadcast
numpy_broadcast time: 0.00597401690483 s

mike-lawrence

--- /Library/Frameworks/R.framework/Resources/etc/Makeconf	2013-09-25 08:59:05.000000000 -0300
+++ Makeconf	2014-03-03 13:01:00.000000000 -0400
@@ -14,11 +14,11 @@
 AWK = awk
 BLAS_LIBS = -L$(R_HOME)/lib$(R_ARCH) -lRblas
 C_VISIBILITY = 
-CC = llvm-gcc-4.2 -arch x86_64 -std=gnu99
+CC = clang -arch x86_64 -std=gnu99
 CFLAGS = -mtune=core2 -g -O2 $(LTO)
 CPICFLAGS = -fPIC