Greetings readers, in this tutorial, you will learn about modules in Python and their usage. We are also going to teach you how to implement them in Python.<\/p>\n\n\n\n
Note:<\/strong> We are going to teach according to Python 3 syntax. With slight modification, you can use the code snippets on Python 2.<\/p>\n\n\n\n Modules are primarily the (.py) files that contain Python code defining functions, classes, variables, etc. with a suffix .py appended in its file name.<\/p>\n\n\n\n They can have different functions, variables, and classes in one file. We can also call them libraries.<\/p>\n\n\n\n A Python module brings certain benefits such as we can reduce redundancy in the code. It can let us maintain uniformity in the coding style.<\/p>\n\n\n\n Example: Take a file called math_function_def.py<\/strong><\/p>\n\n\n\n It could contain functions for calculating the factorial value of a number, cube, square root, constant values such as the value of pi, Fibonacci sequence generation<\/a> code, etc.<\/p>\n\n\n\n Generally, it is a good practice to create modules that have a fixed purpose. It increases readability and increases productivity and bug reporting.<\/p>\n\n\n\n A few examples of modules are:<\/p>\n\n\n\n From Python Standard Library:<\/strong><\/p>\n\n\n\n From Online Sources:<\/strong><\/p>\n\n\n\n For systems where Python is pre-installed or when installed using the system package manager such as When we import modules, the Python interpreter locates them in three locations:<\/p>\n\n\n\n The Flowchart for the above mechanism is as follows:<\/p>\n\n\n To find out the list of modules present in Python, we can issue the command: help(“modules”) in the Python interpreter shell.<\/p>\n\n\n\n Executing the above command will return the list of available modules, as shown below:<\/p>\n\n\n Besides, you can also issue the pip list or conda list<\/strong> command in the console to list all available modules.<\/p>\n\n\n\n The following diagram shows the output for the second method in Windows 10 cmd shell.<\/p>\n\n\n Syntax – Using Full Name<\/strong><\/p>\n\n\n\n Example:<\/p>\n\n\n\n If the module name is too long to type, we can assign an alias as short as a single letter. Here, we have further explained in detail how to import a module in Python<\/a>.<\/p>\n\n\n\n Syntax – Using a Short Name<\/strong><\/p>\n\n\n\n Example:<\/p>\n\n\n\n It is a time-saver for those who have module names that are too long to remember to type.<\/p>\n\n\n\n To load new modules from new Sources, we must install using Python pip a software utility that installs Python modules from the Python index online or using a package environment manager like Anaconda.<\/p>\n\n\n\n Python PIP to Install New Modules<\/strong><\/p>\n\n\n\n Run the following command to install a Python module.<\/p>\n\n\n\n Anaconda to Install new Modules<\/strong><\/p>\n\n\n\n Run the following command to install a Python module<\/p>\n\n\n\n System Package Manager to Install New Modules<\/strong><\/p>\n\n\n\n Run the following command to install a Python module on Ubuntu.<\/p>\n\n\n\n For example, If we want to install Numpy.<\/p>\n\n\n\n There are several built-in modules such as dir(), math(), random(), time(), datetime() etc.<\/p>\n\n\n\n Example Program:<\/p>\n\n\n\n Take a Python file, for example, factorial_definition.py<\/strong><\/p>\n\n\n\n Save this file either in PYTHONPATH or in the path where another program resides which will import the module.<\/p>\n\n\n\n To import this file, we use the following code in the program, which will load the module.<\/p>\n\n\n\n We can call the variable Pi using factorial_definition.Pi<\/strong><\/p>\n\n\n\n Since the module name is long, we can rename it in the manner import factorial_definition as fact <\/strong>and use this to call the variables and variables.<\/p>\n\n\n\n If we want we can import only the Pi variable, to do so, we use from factorial_definition import Pi.<\/strong><\/p>\n\n\n\n Modules are used to reduce the redundant statements in a program. It saves time and increases readability as well as productivity. They are also used to extend the functionality of Python and allow different developers around the world to work in a coordinated manner.<\/p>\n\n\n\n For example, Google developed Tensorflow, which contains functions for deep learning and is open for contributions from the past many years. It is an open-source module so that various people from different parts of the world can participate and improve the scope of deep learning applications.<\/p>\n\n\n\n The TensorFlow library<\/strong> uses the icon shown below.<\/p>\n\n\n Other examples of open-source modules are Keras, OpenCV, etc.<\/p>\n\n\n\n Keras Module<\/strong><\/p>\n\n\n OpenCV Module<\/strong><\/p>\n\n\n To Learn more topics, read the latest Python tutorial<\/a>.<\/p>\n\n\n\n This tutorial clearly explained: what is a module in Python with examples, and how to create and import them in programs. Python modules are a powerful way to organize and reuse code. By grouping related functions and classes into modules, you can make your code more modular and easier to maintain.<\/p>\n\n\n\n Before we leave, let’s share some tips for using Python modules effectively:<\/p>\n\n\n\n Lastly, our site needs your support to remain free. Share this post on social media (Linkedin<\/a>\/Facebook<\/a>) if you gained some knowledge from this tutorial.<\/p>\n\n\n\n Enjoy coding, In this Python programming class, we’ll explain: What is a module in Python with examples. We’ll provide examples to demonstrate how to import modules in your code. Please note that modules are the pillars of modular programming in Python. What is Module in Python with Example Greetings readers, in this tutorial, you will learn about […]<\/p>\n","protected":false},"author":321,"featured_media":6997,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","jetpack_post_was_ever_published":false},"categories":[92],"tags":[],"class_list":{"0":"post-6996","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-python-programming-tutorials"},"jetpack_featured_media_url":"https:\/\/techbeamers.com\/wp-content\/uploads\/2019\/01\/Python-Module-A-Step-by-Step-Tutorial-for-Beginners.png","_links":{"self":[{"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/posts\/6996","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/users\/321"}],"replies":[{"embeddable":true,"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/comments?post=6996"}],"version-history":[{"count":1,"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/posts\/6996\/revisions"}],"predecessor-version":[{"id":23561,"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/posts\/6996\/revisions\/23561"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/media\/6997"}],"wp:attachment":[{"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/media?parent=6996"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/categories?post=6996"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techbeamers.com\/wp-json\/wp\/v2\/tags?post=6996"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<\/a>1. Introduction to Python Module<\/h3>\n\n\n\n
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<\/a>2. Python Module: Mechanism<\/h3>\n\n\n\n
<\/a>2.1. Mechanism<\/h4>\n\n\n\n
apt-get<\/code>, dnf<\/code>, zypper<\/code>, or using package environment managers like Anaconda the following applies.<\/p>\n\n\n\n\n
![\"Python](\"https:\/\/techbeamers.com\/wp-content\/uploads\/2019\/01\/Python-Module-Flowchart.png\")
<\/figure>\n<\/div>\n\n\n<\/a>2.2. Modules Listing<\/h4>\n\n\n\n
![\"Python](\"https:\/\/techbeamers.com\/wp-content\/uploads\/2019\/01\/Python-Module-List-of-Avaiable-Modules.jpeg\")
<\/figure>\n<\/div>\n\n\n![\"List](\"https:\/\/techbeamers.com\/wp-content\/uploads\/2019\/01\/Python-Module-Conda-List-Command.jpeg\")
<\/figure>\n<\/div>\n\n\n3. Modules: Implementation<\/h3>\n\n\n\n
<\/a>3.1. Importing of Modules from Standard Python Path<\/h4>\n\n\n\n
import module_name1, module_name2\u2026<\/pre>\n\n\n\n
import os<\/pre>\n\n\n\n
import module_name as shortened_module_name<\/pre>\n\n\n\n
import math as m<\/pre>\n\n\n\n
<\/a>3.2. Importing Modules from New Sources<\/h4>\n\n\n\n
python -m pip3 install module_package_name<\/pre>\n\n\n\n
conda install module_package_name<\/pre>\n\n\n\n
sudo apt install module_package_name<\/pre>\n\n\n\n
python -m pip3 install numpy\nconda install numpy\nsudo apt install python3-numpy<\/pre>\n\n\n\n
<\/a>4. Module Program Examples<\/h3>\n\n\n\n
<\/a>4.1. Built-In Modules<\/h4>\n\n\n\n
import math, random #we can write multiple modules in one import statement.\n\nprint (math.sqrt(625)) #prints square root of number 625\n\nprint (math.factorial(10)) #prints factorial value of a number 10\n\nprint (math.pi) #prints value of pi according to the built-in module\n\nprint (random.randint(1,20)) #prints a random value from integers<\/a> 1-20\n\nprint (dir(math)) #prints function name, variables,etc in math module<\/pre>\n\n\n\n
<\/a>4.2. User-Defined Python Module<\/h4>\n\n\n\n
def get_factorial(param):\n out = 1\n if param < 0:\n print(\"Factorial not allowed for -ve numbers\")\n out = None\n elif param == 0:\n print(\"Factorial(0) = 1\")\n out = None\n else:\n for i in range(1, param + 1):\n out = out*i\n return out\n\n# For testing purpose:\n# in_value = -1\n# in_value = 0\n# in_value = 5\n# out = get_factorial(in_value)\n\n# if out != None:\n# print(f\"Factorial of {in_value} is {out}\")<\/pre>\n\n\n\nimport factorial_definition\n\nfactorial_definition.factorial()<\/pre>\n\n\n\n
<\/a>5. Usages of Modules<\/h3>\n\n\n\n
![\"TensorFlow](\"https:\/\/techbeamers.com\/wp-content\/uploads\/2019\/01\/Python-Module-TensorFlow.png\")
<\/figure>\n<\/div>\n\n\n![\"Keras](\"https:\/\/techbeamers.com\/wp-content\/uploads\/2019\/01\/Python-Module-Keras.png\")
<\/figure>\n<\/div>\n\n\n![\"OpenCV\"](\"https:\/\/techbeamers.com\/wp-content\/uploads\/2019\/01\/Python-Module-OpenCV.png\")
<\/figure>\n<\/div>\n\n\nBefore You Leave<\/h3>\n\n\n\n
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TechBeamers.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"