Source: zdnet.com The open-source project behind Julia, a programming language for data scientists, has revealed which languages users would shift to if they decided no longer to use Julia. Julia, a zippy programming language that has roots at MIT, has published the results of its 2020 annual user survey. The study aims to uncover the Read More
Tag: Programming Languages
Source: insights.dice.com The latest edition of the TIOBE Index, which attempts to gauge the popularity of the world’s programming languages, reveals something fascinating: Go, Swift, Perl and R have gained substantial ground over the past year. But can any of them challenge the older, more-established languages (such as C, Java, and Python) for TIOBE’s top slots? Read More
Source: analyticsindiamag.com Python is one of the most preferred high-level programming languages, which is being increasingly utilised in data science and in designing complex machine learning algorithms. In one of our articles, we discussed why one should learn the Python programming language for data science and machine learning. In this article, we list down the top 9 free Read More
Source: inventiva.co.in How many of you agree with the following Assertions? Assertion 1 – Being a Data Scientist is one of the best jobs you can have today. It has been referred to as the “sexiest job of the century” and is in great demand. Assertion 2 – Once you become a data scientist, life is going Read More
Source: mybroadband.co.za JavaScript remains the most popular programming language in the world, according to Amazon’s State of the Developer Nation Survey for 2019. The language has more than 12 million users worldwide and is one of the fastest-growing programming languages globally – growing by 3 million developers between Q4 2017 and Q4 2019. Amazon estimates that there Read More
Source – i-programmer.info R, Python, and Scala are the three major languages for data science and data mining. Here you’ll find out about their respective popularity, ease of use, and some pros and cons. Before all that, however, an important link between data warehousing and Big Data needs discussing. Organizations and enterprises of all sizes can Read More