mblondel

# Mathieu Blondel, May 2012
# License: BSD 3 clause

import numpy as np

def euclidean_distances(X, Y=None, Y_norm_squared=None, squared=False):
    XX = np.sum(X * X, axis=1)[:, np.newaxis]
    YY = np.sum(Y ** 2, axis=1)[np.newaxis, :]
    distances = np.dot(X, Y.T)
    distances *= -2

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

kingjr

import numpy as np
import matplotlib.pyplot as plt
from jr.plot import pretty_plot, plot_eb  # available @ http://github.com/kingjr/jr-tools

# make up data
x = np.linspace(1., 5., 100)
all_data = dict(AG=np.sin(x), V1=np.cos(x), IPS=np.cos(x + 1.5))

# choose color manually
colors = ['r', [.1, 1., .2, 1.], 'b']

aparrish

aparrish

aparrish

aparrish

aparrish

jvns

Ruby and Python profilers

CPU profilers

Python

• cProfile
• https://github.com/bdarnell/plop (blog post)
• https://github.com/rkern/line_profiler
• https://github.com/uber/pyflame (blog post)