Using Python Libraries: Essential Tips

Shani RiversShani Rivers
4 min read

A library in Python is a reusable chunk of code that you may want to include in your programs and projects.

Libraries provide pre-written functionality, a group of modules, which saves you writing code for those functions that are already defined in libraries.

In Python, a module is a single file (or files), kind of like a book ๐Ÿ“•, that is imported under one import and used. It's any file that contains Python code.

Modules can define functions, classes, and variables that you can reference in other Python scripts.

A library, on the other hand, is a collection of modules (or books ๐Ÿ“š). It's a way of packaging and distributing multiple modules together, along with other resources. Libraries provide a way of reusing code and can include functions, methods, classes, and more.

For example, the math library in Python includes a variety of modules such as sqrt, factorial, cos, sin, etc. When you import the math library, you have access to all these modules.

Therefore, a module is a single file, while a library is a collection of modules.

Python libraries are a collection of Python packages. A package in Python is simply a way of organizing related code. It's essentially a directory that contains multiple Python scripts. Each script is a module that can define functions, classes, or variables.

For example, the math library in Python provides mathematical functions. So instead of writing a function to calculate the square root, you can simply import the math library and call math.sqrt().

Here's how you can import and use a function from the math library:

import math
print(math.sqrt(16))  # Outputs: 4.0

In this code, import math is importing the math library, and math.sqrt(16) is calling the sqrt function from the math library to calculate the square root of 16.

Import: is a keyword to import modules into a python script.

The clause contains:

  • the import keyword;

  • the name of the module or library, which is the subject to import.

The instruction may be located anywhere in your code, but it must be placed before the first use of any of the module's entities or at the top of your file. The imported libraries (or modules) can be listed individually or inline.

import math
import sys

# or inline

import math, sys

A namespace is a space (understood in a non-physical context) in which some names exist and the names don't conflict with each other (i.e., there are not two different objects of the same name).

Inside a certain namespace, each name must remain unique.

So this means that you can't create a variable named, pi , when you are also have brought in the math library's variable pi - your version of it will supersede the library's version.

โš ๏ธ So be careful! โš ๏ธ

If the module of a specified name exists and is accessible (a module is in fact a Python source file), Python imports its contents, i.e., all the names defined in the module become known, but they don't enter your code's namespace.

  • This means that you can have your own entities named sin or pi and they won't be affected by the import in any way.

      import math
      print(math.sin(math.pi/2)) # will use pi from module math (qualification)
    
      pi = 3.14 # my version of pi that will override math's version of pi
      print(math.sin(pi/2)) # will use the pi that I created
    

Best Practices

When you bring in a module or a library, you should only bring in those names that you are going to use in your code.

The nomenclature is from module_or_library import name as alias , aliasing causes the module to be identified under a different name or shorter name so you don't have to type as much.

import module as alias 

# e.g. 
import math as m
print(m.sqrt(16))
# aliasing with listing
from module import name as alias 
#e.g.
from math import sin as SIN, pi

If you want to see all the available names that exist in a module or a library, you can use the dir() directory command on it.

import math

for name in dir(math):
    print(name, end="\t")

# __doc__    __file__    __loader__    __name__    __package__    __spec__
#    acos    acosh    asin    asinh    atan    atan2    atanh    ceil
#    comb    copysign    cos    cosh    degrees    dist    e    erf    erfc
#    exp    expm1    fabs    factorial    floor    fmod    frexp    fsum
#    gamma    gcd    hypot    inf    isclose    isfinite    isinf    isnan
#    isqrt    lcm    ldexp    lgamma    log    log10    log1p    log2    modf
#    nan    nextafter    perm    pi    pow    prod    radians    remainder
#    sin    sinh    sqrt    tan    tanh    tau    trunc    ulp

For example, if you plan to only use the sin, pi, and e of the math library, you should ONLY bring in those three and NOT ALL of the names that exist in the math library.

# listing the entities you using, and not all the things:
from math import sin, pi, e # I'm only using: sine, pi and e

print(sin(pi/2))
print(e)

But if you don't know which names you plan to use or are just want see all the names that the library provides, because you are in the middle of developing a functionality, you can use the import all of the library from module import *.

This should only be used temporarily, though!

# WARNING: The above should only be used temporarily ,
# unless you know all the names provided by the module, 
# this is UNSAFE!

from module import *

# e.g. 
from math import *

Be sure to refactor your import statement once you are done! โœ…

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Written by

Shani Rivers
Shani Rivers

I'm a data enthusiast with web development and graphic design experience. I know how to build a website from scratch, but I sometimes work with entrepreneurs and small businesses with their Wix or Squarespace sites, so basically I help them to establish their online presence. When I'm not doing that, I'm studying and blogging about data engineering, data science or web development. Oh, and I'm wife and a mom to a wee tot.