पैकेज और डाक्यूमेंटेशन परिचय

Python में Software Engineering Principles

Adam Spannbauer

Machine Learning Engineer at Eastman

पैकेज और PyPi

PyPi लोगो

pip परिचय

PyPi pip install

pip परिचय

PyPi pip install

pip से numpy इंस्टॉल करना

datacamp@server:~$ pip install numpy

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

numpy का उपयोग कैसे करें?

डाक्यूमेंटेशन पढ़ना

help() से डाक्यूमेंटेशन पढ़ना

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

help() से डाक्यूमेंटेशन पढ़ना

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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Python में Software Engineering Principles