An Overview of Object Oriented Programming Using Python


In this way of programming, we break down a task into objects, which uses some defined methods and data. It is a model organized around "class/object" rather than functions. Objects are modeled after real-world objects.

Feature Scaling with Python and Sklearn


Sometime we have to pre-process our data before applying a machine learning algorithm. Below Methods can be used..

Python Built-in Function Split() and Strip()


If you ever need to break large strings into small or you want to read input from sys.stdin perfectly, strip and split will be always helpful

Simple Ways to Use Python's Counter (from Collections)


Counter is class defined in python collections module, which takes input (hashable objects like string, list etc) and return a dictionary where elements (from hashable objects) are stored as dictionary keys and their counts are stored as dictionary values.

Use of Python's map(),zip(), lambda() and filter()


There are always zip, map, lambda when I looked the web for a solution for certain problem. Working of these functions are always magic.zip return a list of tuple where element of each tuple belong to given inputs.

Implementation of Linked list Using Python


Linked list is one of important data structure in software development, Here we will represent the linked list using Python programming language.