What is Python?

What is Python?

                                                                      Python - Wikiversity 

Python is high-level, general-purpose and a very popular programming language.
Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting edge technology in Software Industry.

Advantages of Python

  • Works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
  • Simple syntax similar to the English language.
  • Syntax that allows developers to write programs with fewer lines than some other programming languages.
  • Runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
  • Supports functional and structured programming methods as well as OOP.
  • Provides very high-level dynamic data types and supports dynamic type checking.
  • Can be easily integrated with Other Languages.

Why Python is preferred in Data Science ?

As a new Data Scientist, you know that your path begins with programming languages you need to learn.
Python is the most popular language for all Data Scientists.
But Why is this?

Reasons behind Python's popularity in Data Science


  • Python is a free and open-source language.
  • Simple Syntax as compared to other languages.
  • Availability of large number of libraries and frameworks (Numpy, Pandas, Matplotlib......)
  • Scalability
  • Efficient Deep Learning
  • Huge Community
  • Jobs and Growth in market

Installation

Steps of installation

Step 1)
Go to
https://www.anaconda.com/products/distribution

Step 2) 

Select Your Operating System (Default download link is for windows operating system.)


Step 3) 

Once you have selected your operating system click on download button.

Step 4) 

Select the directory where you want to download your software and your download will start.


Step 5) 

Open your setup file which you have downloaded and select your default settings at each step and at last click on finish.

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Data science is the process of extracting information from data. It involves collecting, cleaning, analyzing, and interpreting data. Data scientists work with a variety of data types, including structured data (e.g., numbers in spreadsheets), unstructured data (e.g., text and images), and big data (e.g., social media data).

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