Lambda function in Python and its application
The basic use of lambda in python is define the anonymous functions so basically those are the functions which don’t have any names. So basically it is used for defining the in-line functions while this lambda function is implemented when the syntax function is not working correctly.
Uses of Lambda function in Python:
1. It is basically used wherever a function is used or required.
2. These kind of functions do not require a return statement.
3. Lambda function has many in-built functions as well.
One has to start with the basics of python language like creating the hello world program, data type declaration and python installation. Then one will learn about the python lists and strings list is a data structure in Python that is a mutable, or changeable, ordered sequence of elements. Each element or value that is inside of a list is called an item. Just as strings are defined as characters between quotes. Then one has to learn about some of the libraries that are used in data science like NumPy library, Pandas library, Matplotlib, Scipy and many other libraries. Then enhance more your python coding skills by practicing more of it. Many Deep learning frameworks in Data Science are implemented by using python. Along with this, in the field of machine learning it is used for building fraud detection algorithms and network security algorithms for developers. Due to this immense application of python in data science, deep learning and machine learning, the requirement of the professionals with python skills have increased drastically over the past few years. This further creates the necessity of python for data science tutorial.