Lists in Python | python lists tutorial | Python tutorial in Hindi | हिंदी में | Learn Python

Veröffentlicht am: 10 Juni 2020
auf dem Kanal: Learn Python
28
7

In this python lists tutorial video, we will learn about the List in Python.

A list is a simple data structure that stores multiple indexed values in a single data type. We can store heterogeneous data types in the same list. It is compared with array in C programming languages but lists are different than the array in C.
Let's check the list in Python.

what do we learn in this video?

how to create a list
how to access values in a list
how to add values in a list
how to change a value in a list in python
how to copy a list
how to clear list

Welcome to my Youtube Channel Learn Python.
Link for Jupyter Notebook.

https://github.com/iamrahul404/Basics...

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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built-in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS, and has been ported to Java and .NET virtual machines. Python is free to use, even for commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicate that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.


Who should go for python?
. Anyone can learn python no matter you are a beginner or advanced in programming.
· Programmers, Developers, Technical Leads, Architects

· Developers aspiring to be a ‘Machine Learning Engineer'

· Analytics Managers who are leading a team of analysts

· Business Analysts who want to understand Machine Learning (ML) Techniques

· Information Architects who want to gain expertise in Predictive Analytics

· 'Python' professionals who want to design automatic predictive models

· 'Python' professionals who want to work with Big Data using PySpark

· 'Python' professionals who want to design a website using Django



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