Introduktion till paket och dokumentation

Mjukvaruutvecklingsprinciper i Python

Adam Spannbauer

Machine Learning Engineer at Eastman

Paket och PyPi

PyPi-logotyp

Introduktion till pip

PyPi pip install

Introduktion till pip

PyPi pip install

Installera numpy med pip

datacamp@server:~$ pip install numpy

Collecting numpy
    100% |████████████████████████████████| 24.5MB 44kB/s 
Installing collected packages: numpy
Successfully installed numpy-1.15.4

Hur använder vi numpy?

Läsa dokumentation

Läsa dokumentation med help()

help(numpy.busday_count)

busday_count(begindates, enddates)
    Counts the number of valid days between `begindates` and
    `enddates`, not including the day of `enddates`.


    Parameters
    ----------
    begindates : the first dates for counting.
    enddates : the end dates for counting (excluded from the count)


    Returns
    -------
    out : the number of valid days between the begin and end dates.


    Examples
    --------
    >>> # Number of weekdays in 2011
    ...  np.busday_count('2011', '2012')
    260

Läsa dokumentation med help()

import numpy as np
help(np)

    Provides
      1. An array object of arbitrary homogeneous items
      2. Fast mathematical operations over arrays
      3. Linear Algebra, Fourier Transforms, Random Number Generation

help(42)

class int(object)
 |  int(x=0) -> integer
 |  int(x, base=10) -> integer
 |  
 |  Convert a number or string to an integer, or return 0 if no arguments
 |  are given.  If x is a number, return x.__int__().  For floating point
 |  numbers, this truncates towards zero.

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Mjukvaruutvecklingsprinciper i Python