{"id":33919,"date":"2022-02-01T13:32:56","date_gmt":"2022-02-01T02:32:56","guid":{"rendered":"https:\/\/www.institutedata.com\/?p=33919"},"modified":"2022-02-01T13:39:09","modified_gmt":"2022-02-01T02:39:09","slug":"why-is-python-programming-such-a-popular-choice-in-data-science-and-machine-learning","status":"publish","type":"post","link":"https:\/\/www.institutedata.com\/us\/blog\/why-is-python-programming-such-a-popular-choice-in-data-science-and-machine-learning\/","title":{"rendered":"Why is Python programming such a popular choice in data science and machine learning?"},"content":{"rendered":"

Every <\/span>data scientist<\/span> must know <\/span>programming languages<\/span> that will help them clean, manage and organize unstructured sets of data. There are a number of <\/span>programming languages<\/span> used by data scientists across the globe like Perl, Python, Java, C\/C++, SQL and so on. However, <\/span>Python<\/span> stands out to be the most common and popular coding language for <\/span>data scientists<\/span> amongst all other languages.\u00a0<\/span><\/p>\n

Let\u2019s learn why and how the <\/span>Python programming environment<\/span> is so commonly used in <\/span>data science<\/span> and <\/span>machine learning<\/span>:<\/span><\/p>\n

1. <\/span>Python Programming<\/span>: Best <\/span>programming language<\/span> for <\/span>data science<\/span> and <\/span>machine learning<\/span><\/h2>\n

Artificial Intelligence<\/span> and <\/span>machine learning<\/span> are being implemented in a number of industries. As investments grow in this field, the demand for professionals in <\/span>machine learning<\/span> and <\/span>data science<\/span> is increasing simultaneously. According to the trend search results on Indeed.com, <\/span>Python<\/span> is the most common and popular language used for <\/span>data science<\/span> and <\/span>machine learning<\/span>. Being a multi-paradigm <\/span>programming language<\/span>, <\/span>Python<\/span> is capable of handling a multitude of tasks from data mining and website development to running embedded systems, all in one language.\u00a0<\/span><\/p>\n

The inherent readability and simplicity of the language makes <\/span>Python<\/span> easy to learn. Python\u2019s availability of abundant libraries gives <\/span>data scientists<\/span> access to download tailored packages for free. Because of its extendibility, <\/span>Python<\/span> has exploded in popularity amongst <\/span>data science<\/span> and analytics professionals.<\/span><\/p>\n

2. The growing demand for <\/span>Python skills<\/span> in the global job market and why <\/span>Python<\/span> is being widely used\u00a0<\/span><\/h2>\n

From the development phase to deployment, <\/span>Python<\/span> has shown its versatility in its use and applications. Its popularity due to its millions of benefits has made it an <\/span>in-demand skill<\/span> across various job profiles in the global job market. Python\u2019s reliability has big companies like Google, Pixar and Spotify using its services in their operations.\u00a0<\/span><\/p>\n

Let\u2019s have a look at a few reasons<\/span> why <\/span>Python<\/span> has been so extensively used across industries:<\/span><\/p>\n

Great choice of libraries<\/span><\/h3>\n

Python libraries<\/span> provide its users base level items so users don\u2019t have to code from scratch every time. <\/span>Machine learning<\/span> and AI require continuous processing of data and <\/span>Python<\/span> helps you access, manage and transform the data. Some of the widespread libraries used for AI and <\/span>machine learning<\/span> are:\u00a0<\/span><\/p>\n