The language is used for API development, Artificial Intelligence, web development, Internet of Things, etc.
Python is an interpreted, general-purpose, high-level language with an object-oriented approach. In 2020, Python became the fourth most used language after JavaScript, HTML/CSS, and SQL, with 44,1% of developers using it.
Python was introduced back in 1990 but it began to gain popularity only a couple of years ago. Find out whether Python is good for data analysis, how to use Python for data analysis, its pros, and cons, and what alternatives there are for data analytics. In this article, we will take a look at one of these most widely-used data science programming languages – Python. In order to join the top companies that use data and benefit greatly from it, you have to know at least one programming language used for data science. If back in 2015 only 17% of companies have been utilizing big data analytics, in 2017 the percentage has grown to 53% and is getting higher each year. This is no wonder, as data analytics helps businesses predict customer needs, personalize their approach to customers, prevent failures and make better business decisions.Ĭonsequently, the popularity of data analytics is constantly growing. According to a forecast from International Data Corporation, the worldwide revenues of Big Data and Business Analytics solutions would reach $260 billion by the end of 2020.
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