gitaarik

Git Submodules basic explanation

Why submodules?

In Git you can add a submodule to a repository. This is basically a repository embedded in your main repository. This can be very useful. A couple of usecases of submodules:

• Separate big codebases into multiple repositories.

nocturnalgeek

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alimuldal

import numpy as np
from scipy import stats
from itertools import combinations
from statsmodels.stats.multitest import multipletests
from statsmodels.stats.libqsturng import psturng
import warnings


def kw_dunn(groups, to_compare=None, alpha=0.05, method='bonf'):
    """

glen-cheney

Encoding Video

Installing

Install FFmpeg with homebrew. You'll need to install it with a couple flags for webm and the AAC audio codec.

brew install ffmpeg --with-libvpx --with-libvorbis --with-fdk-aac --with-opus

rougier

# Copyright (c) 2016 Nicolas P. Rougier - BSD License

# SI prefixes as name:value
SI_prefix_name_value = {
    "yocto": 10e-24, "zepto": 10e-21, "atto":  10e-18, "femto": 10e-15,
    "pico":  10e-12, "nano":  10e-9,  "micro": 10e-6,  "milli": 10e-3,
    "centi": 10e-2,  "deci":  10e-1,  "deca":  10e1,   "hecto": 10e2,
    "kilo":  10e3,   "mega":  10e6,   "giga":  10e9,   "tera":  10e12,
    "peta":  10e15,  "exa":   10e18,  "zetta": 10e21,  "yotta": 10e24 }

rougier

# -----------------------------------------------------------------------------
# Copyright (c) 2016 Nicolas P. Rougier. All rights reserved.
# Distributed under the (new) BSD License.
# -----------------------------------------------------------------------------
import sys
import math
import ctypes
import numpy as np
import OpenGL.GL as gl
import OpenGL.GLUT as glut

rougier

# -----------------------------------------------------------------------------
# Copyright (c) 2016, Nicolas P. Rougier
# Distributed under the (new) BSD License.
# -----------------------------------------------------------------------------
import sys, math

def progress(value,  length=40, title = " ", vmin=0.0, vmax=1.0):
    """
    Text progress bar

rougier

def binomial(n, k):
    """
    A fast way to calculate binomial coefficients by Andrew Dalke.
    See http://stackoverflow.com/questions/3025162/statistics-combinations-in-python
    """
    if 0 <= k <= n:
        ntok = 1
        ktok = 1
        for t in xrange(1, min(k, n - k) + 1):
            ntok *= n

dannguyen

Mapping earthquakes in Python 3.x using matplotlib and matplotlib's basemap

(with a big assist from Anaconda)

I currently use Python for nearly all of my data science and wrangling work these days but usually find myself switching to R to visualize data using ggplot2. This is due in part to ggplot2's general excellence, but also because I had a lot of trouble learning Python's most popular viz library, matplotlib on my own...its homepage is decent enough...but its variety of plotting APIs (--pylab? OOP? %matplotlib???) has led to widely differing examples and best practices among the many online matplotlib guides (not dissimilar to the general problem of trying to practice either Python 2.x or 3.x).

That changed yesterday when I stumbled across [Nicolas P. Rougier's beautifully designed and com

mdboom

import matplotlib.pyplot as plt

import pandas as pd

import datashader as ds
import datashader.transfer_functions as tf
from datashader.colors import Hot


time_period = 60