Libraries

Last updated on 2023-04-20 | Edit this page

Estimated time: 20 minutes

Overview

Questions

  • How can I use software that other people have written?
  • How can I find out what that software does?

Objectives

  • Explain what software libraries are and why programmers create and use them.
  • Write programs that import and use modules from Python’s standard library.
  • Find and read documentation for the standard library interactively (in the interpreter) and online.

Key Points

  • Most of the power of a programming language is in its libraries.
  • A program must import a library module in order to use it.
  • Use help to learn about the contents of a library module.
  • Import specific items from a library to shorten programs.
  • Create an alias for a library when importing it to shorten programs.

Most of the power of a programming language is in its libraries.

  • A library is a collection of files (called modules) that contains functions for use by other programs.
    • May also contain data values (e.g., numerical constants) and other things.
    • Library’s contents are supposed to be related, but there’s no way to enforce that.
  • The Python standard library is an extensive suite of modules that comes with Python itself.
  • Many additional libraries are available from PyPI (the Python Package Index).

Libraries, packages, and modules

A module is a typically defined set of code located within a single Python file which is intended to be imported into scripts or other modules. A package is a set of related modules, often contained in a single directory. A library is a more general term referring to a collection of modules and packages. For instance, the Python Standard Library contains functionality from compressing files to parallel programming.

However, these definitions are not particularly formal or strict. Module, package, and library are often used interchangeably, especially since many libraries only consist of a single module.

A program must import a library module before using it.

  • Use import to load a library module into a program’s memory.
  • Then refer to things from the module as module_name.thing_name.
    • Python uses . to mean “part of”.
  • Using math, one of the modules in the standard library:

PYTHON 

import math

print('pi is', math.pi)
print('cos(pi) is', math.cos(math.pi))

OUTPUT 

pi is 3.141592653589793
cos(pi) is -1.0
  • Have to refer to each item with the module’s name.
    • math.cos(pi) won’t work: the reference to pi doesn’t somehow “inherit” the function’s reference to math.

Use help to learn about the contents of a library module.

  • Works just like help for a function.

PYTHON 

help(math)

OUTPUT 

Help on module math:

NAME
    math

MODULE REFERENCE
    http://docs.python.org/3/library/math

    The following documentation is automatically generated from the Python
    source files.  It may be incomplete, incorrect or include features that
    are considered implementation detail and may vary between Python
    implementations.  When in doubt, consult the module reference at the
    location listed above.

DESCRIPTION
    This module is always available.  It provides access to the
    mathematical functions defined by the C standard.

FUNCTIONS
    acos(x, /)
        Return the arc cosine (measured in radians) of x.

Import specific items from a library module to shorten programs.

  • Use from ... import ... to load only specific items from a library module.
  • Then refer to them directly without library name as prefix.

PYTHON 

from math import cos, pi

print('cos(pi) is', cos(pi))

OUTPUT 

cos(pi) is -1.0

Create an alias for a library module when importing it to shorten programs.

  • Use import ... as ... to give a library a short alias while importing it.
  • Then refer to items in the library using that shortened name.

PYTHON 

import math as m

print('cos(pi) is', m.cos(m.pi))

OUTPUT 

cos(pi) is -1.0
  • Allows less typing for long and/or frequently used packages.
    • E.g., the matplotlib.pyplot plotting package is often aliased as plt.
  • But can make programs harder to understand, since readers must learn your program’s aliases.

Exploring the Math Module

  1. What function from the math module can you use to calculate a square root without using sqrt?
  2. Since the library contains this function, why does sqrt exist?

  1. Using help(math) we see that we’ve got pow(x,y) in addition to sqrt(x), so we could use pow(x, 0.5) to find a square root.

  2. The sqrt(x) function is arguably more readable than pow(x, 0.5) when implementing equations. Readability is a cornerstone of good programming, so it makes sense to provide a special function for this specific common case.

    Also, the design of Python’s math library has its origin in the C standard, which includes both sqrt(x) and pow(x,y), so a little bit of the history of programming is showing in Python’s function names.

Locating the Right Module

You want to select a random character from a string:

PYTHON 

bases = 'ACTTGCTTGAC'
  1. Which standard library module could help you?
  2. Which function would you select from that module? Are there alternatives?
  3. Try to write a program that uses the function.

While you can use help from within Jupyter Lab, often when working with Python searching on the internet can yield a faster result.

The random module seems like it could help.

The string has 11 characters, each having a positional index from 0 to 10. You could use the random.randrange or random.randint functions to get a random integer between 0 and 10, and then select the bases character at that index:

PYTHON 

from random import randrange

random_index = randrange(len(bases))
print(bases[random_index])

or more compactly:

PYTHON 

from random import randrange

print(bases[randrange(len(bases))])

Perhaps you found the random.sample function? It allows for slightly less typing but might be a bit harder to understand just by reading:

PYTHON 

from random import sample

print(sample(bases, 1)[0])

The simplest and shortest solution is the random.choice function that does exactly what we want:

PYTHON 

from random import choice

print(choice(bases))

Jigsaw Puzzle (Parson’s Problem) Programming Example

Rearrange the following statements so that a random DNA base is printed and its index in the string. Not all statements may be needed. Feel free to use/add intermediate variables.

PYTHON 

bases="ACTTGCTTGAC"
import math
import random
___ = random.randrange(n_bases)
___ = len(bases)
print("random base ", bases[___], "base index", ___)

PYTHON 

import math 
import random
bases = "ACTTGCTTGAC" 
n_bases = len(bases)
idx = random.randrange(n_bases)
print("random base", bases[idx], "base index", idx)

When Is Help Available?

When a colleague of yours types help(math), Python reports an error:

OUTPUT 

NameError: name 'math' is not defined

What has your colleague forgotten to do?

Importing the math module (import math)

Importing With Aliases

  1. Fill in the blanks so that the program below prints 90.0.
  2. Rewrite the program so that it uses import without as.
  3. Which form do you find easier to read?

PYTHON 

import math as m
angle = ____.degrees(____.pi / 2)
print(____)

PYTHON 

import math as m
angle = m.degrees(m.pi / 2)
print(angle)

can be written as

PYTHON 

import math
angle = math.degrees(math.pi / 2)
print(angle)

Since you just wrote the code and are familiar with it, you might actually find the first version easier to read. But when trying to read a huge piece of code written by someone else, or when getting back to your own huge piece of code after several months, non-abbreviated names are often easier, except where there are clear abbreviation conventions.

There Are Many Ways To Import Libraries!

Match the following print statements with the appropriate library calls.

Print commands:

  1. print("sin(pi/2) =", sin(pi/2))
  2. print("sin(pi/2) =", m.sin(m.pi/2))
  3. print("sin(pi/2) =", math.sin(math.pi/2))

Library calls:

  1. from math import sin, pi
  2. import math
  3. import math as m
  4. from math import *
  1. Library calls 1 and 4. In order to directly refer to sin and pi without the library name as prefix, you need to use the from ... import ... statement. Whereas library call 1 specifically imports the two functions sin and pi, library call 4 imports all functions in the math module.
  2. Library call 3. Here sin and pi are referred to with a shortened library name m instead of math. Library call 3 does exactly that using the import ... as ... syntax - it creates an alias for math in the form of the shortened name m.
  3. Library call 2. Here sin and pi are referred to with the regular library name math, so the regular import ... call suffices.

Note: although library call 4 works, importing all names from a module using a wildcard import is not recommended as it makes it unclear which names from the module are used in the code. In general it is best to make your imports as specific as possible and to only import what your code uses. In library call 1, the import statement explicitly tells us that the sin function is imported from the math module, but library call 4 does not convey this information.

Importing Specific Items

  1. Fill in the blanks so that the program below prints 90.0.
  2. Do you find this version easier to read than preceding ones?
  3. Why wouldn’t programmers always use this form of import?

PYTHON 

____ math import ____, ____
angle = degrees(pi / 2)
print(angle)

PYTHON 

from math import degrees, pi
angle = degrees(pi / 2)
print(angle)

Most likely you find this version easier to read since it’s less dense. The main reason not to use this form of import is to avoid name clashes. For instance, you wouldn’t import degrees this way if you also wanted to use the name degrees for a variable or function of your own. Or if you were to also import a function named degrees from another library.

Reading Error Messages

  1. Read the code below and try to identify what the errors are without running it.
  2. Run the code, and read the error message. What type of error is it?

PYTHON 

from math import log
log(0)

OUTPUT 

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-1-d72e1d780bab> in <module>
      1 from math import log
----> 2 log(0)

ValueError: math domain error
  1. The logarithm of x is only defined for x > 0, so 0 is outside the domain of the function.
  2. You get an error of type ValueError, indicating that the function received an inappropriate argument value. The additional message “math domain error” makes it clearer what the problem is.