A study recently conducted by Global App Testing, crowdsourced QA testers with the goal of examining developers’ most significant pain points.
Today we’re taking a quick look at some interesting insights about Python from the research found by Global App Testing. Keep reading to find out how this contender has battled its way to the top!
However, an examination of the remaining languages resulted in more intriguing discoveries. For Ruby, ‘rails’ was the most popular word by a significant amount. Additional niche-purpose languages such as R, for data scientists, revealed more specific terms like ‘dataframe’, ‘datable’ and ‘ggplot’.
Global App Testing summarized the research results, saying,
“Each programming language has over time been geared toward – or was even designed for – a particular niche within tech…R is to data science as Swift is to iOS development as C++ is to video game development. This explains some of the differences in the types of problems that arise… why we see ‘database’ a commonly questioned concept in SQL but not, for example, Objective-C.”
The company added that “Despite these obvious differences, these visualizations represent some fundamental similarities within the different domains…Base-level data types such as strings and arrays – but not integers, floats, or Boolean values, apparently – are frequently pain points that cause developers of all stripes and creeds to turn to Stack Overflow.”
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