![]() ![]() With three out of four programmers choosing the language for DS projects, it’s clear that the love for Python in the tech community is strong. According to a Kaggle survey Opens a new window, 93% of data scientists use the language – SQL’s 54% and R’s 46% are bleak in comparison. Learn More: Understanding the Role of Edge Computing in Post-COVID Restaurant Recovery Python: A Popular Choice in Academia and EnterpriseĪt the moment, Python dominates data science. Let’s discuss the benefits, drawbacks, and applications of these technologies in data science. In this post, however, I’d like to compare two languages that lead Stack Overflow’s Top Software Development Languages survey – Python and Java. There are many programming languages developers use, such as R, Clojure, Julia, or Scala. There’s a word in the street that, if you want to acquire skills that’ll land you jobs, data science is your best option.Īt the start of your data science journey, you will need to choose a programming language to run algorithms. That’s why the discrepancy between demand and supply in data science is vast. Despite the buzz it generates, data science is intimidating for many programmers since it requires a strong mathematical backbone and is unapproachable for mathematicians because of coding prerequisites. The demand for data science professionals is huge – so much so that Glassdoor named it the number-one job in America Opens a new window for four consecutive years. Alex Yelenevych, Co-founder and CMO of explains why.ĭata science is among the trendiest fields in technology. To succeed in the field, mastery over programming languages like Java and Python is an essential prerequisite. Data science is one of the most promising fields in tech. ![]()
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