Python Tutorial

Introduction Python Features Python Applications System requirements for Python Python Installation Python Basics Python Variables Python Data Types Python IDE Python Keywords Python Operators Python Comments Python Pass Statement

Python Conditional Statements

Python if Statement Python elif Statement Python If-else statement Python Switch Case

Python Loops

Python for loop Python while loop Python Break Statement Python Continue Statement Python Goto Statement

Python Arrays

Python Array Python Matrix

Python Strings

Python Strings Python Regex

Python Built-in Data Structure

Python Lists Python Tuples Python Lists vs Tuples Python Dictionary Python Sets

Python Functions

Python Function Python min() function Python max() function Python User-define Functions Python Built-in Functions Anonymous/Lambda Function in Python

Python File Handling

Python File Handling Python Read CSV Python Write CSV Python Read Excel Python Write Excel Python Read Text File Python Write Text File Read JSON File in Python

Python Exception Handling

Python Exception Handling Python Errors and exceptions Python Assert

Python OOPs Concept

OOPs Concepts in Python Classes & Objects in Python Inheritance in Python Polymorphism in Python Python Encapsulation Python Constructor Static Variables in Python Abstraction in Python

Python Iterators

Iterators in Python Yield Statement In Python

Python Generators

Python Generator

Python Decorators

Python Decorator

Python Functions and Methods

Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods

Python Modules

Python Modules Python Datetime Module Python Calendar Module  

Python MySQL

Python MySQL Python MySQL Update Operation Python MySQL Delete Operation

Python MongoDB

Python MongoDB

Python Data Structure Implementation

Python Stack Python Queue Python Hash Table Python Graph

Python Advance Topics

Speech Recognition in Python Face Recognition in Python Python Rest API Python Command Line Arguments Python JSON Python Virtual Environment Type Casting in Python Collections in python Python Enumerate Python Debugger Python DefaultDict


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How to

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Python Modules List

Python is like an ocean. If you have been working with Python, you might’ve already heard the word module. When we solve a problem in mathematics, there will be several methods to solve the problem. But, one method will be the best one, and it will be based on the time to solve, simplicity, and accuracy. While programming, programmers also need such solutions. When a programmer first tries to solve a problem, he uses all the methods and analyzes the best method considering many factors and scenarios. The program can be lengthy. In Python, all such programs that a typical Python-programmer will need while coding is stored in modules. So, a module is a file with a set of functions, classes, variables, and statements with logic that we can include in our programs. The programmer need not write the whole code, instead he can include the already developed modules and can use the functionality.

Important points:

  1. Related logics are grouped simultaneously and placed into a file called the modules. Hence, every module consists of similar codes. This improves the organization of a code when we use the modules in our program.
  2. To use the logic specified inside a module in our code, we need to import the module using the import statement for the interpreter to recognize and implement the logic.

    import module_name
  3. When we import a module into our program, the whole module will be imported. To directly import a function inside the module, we can use the syntax:
    import module_name. function_name
    from module_name import function_name
  4. If we want to import all the functions, variables, and constants of a module, we can use an asterisk:
    from module_name import *
  5. If the module specified by the user does not exist, the interpreter raises an error ImportError: No module named “module_name."
  6. We can even create custom modules by importing the file in which the function or the logic we need is written into any program.

This is the basic idea of modules. Now, let us see the list of modules a programmer will need in his programming journey one or the other time. There are about 200 modules in Python, varying with the distribution. These modules are organized in alphabetical order on the official website - here.

These are some frequently used modules and libraries in Python:

NumpyIt provides us with several multi-dimensional array processing functions.
PandasThe best library of modules with data analysis, data science, and machine learning solutions.
MatplotlibContains data visualization and plotting functions and is an extension to the numpy library.
SeabornIt is based on matplotlib. Also used for plotting graphs to visualize the vast amount of data.
Scikit-learnBest library for machine learning applications. Contains a lot of tools for statistics and ml.

More modules:

MathCmathUuidPyGtkPsycoVisual Python

Modules vs. Libraries vs. Packages:

When searching for modules, we might run into many libraries and packages. These three words are used synonymously sometimes. But, these are not the same words.

A simple Python file ends with a .py extension.Collection of already compiled programs to execute in our codes.Collection of similar modules in one place.

A module is a base here. These are normal Python files that contain some code. We save the file and use them whenever we want in our programs. Based on the type and the uses of the code, modules are stored in packages.

Packages and libraries are more exchangeable words. A package can have sub-packages in it. In a package, there will be a __init__. py file defines it as a package, and the interpreter recognizes it as a package.

Like the generic term, a library is the collection of books and resources; in Python, a library is the collection of already made codes, documentation, classes, values, etc. The Python standard library contains the syntax and semantics of the tokens we use in Python, like if-else, loops, etc. In-built modules, that contain the basic functionality of Python are stored in the Python standard library. Python libraries are generally written in the C programming language.