If you’re considering client-side JavaScript, you won’t get far without a solid understanding of HTML, CSS, image formats, tools and browser quirks. A few languages have gone up or down a place but there are no new entrants or large leaps into the top ten.įew developers have the luxury (or tedium?) of working with a single technology. That’s not necessarily the case for languages such as C, C#, Objective-C and Java which tend to be used for fewer larger projects.Ĭomparing today’s charts against historical 2014 data from RedMonk and Jobs Tractor, surprisingly little has changed.
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You can create quick and dirty code examples in a few lines of CSS, JavaScript, PHP, Ruby, Python or shell script.A single web site or application requires a myriad of technologies which possibly raises them above desktop languages.There are far more job vacancies in web and desktop programming but they are easier to fill so adverts are possibly removed sooner. However, app development is a young discipline. RedMonk reports that Swift jumped 46 places to number 22 in less than six months. Java has a similar advantage since it has a variety of uses in education, web, desktop and mobile development.ĭemand for native app developers remains high especially in the job-related surveys. Many thousands of students are asking questions and completing projects but, in my experience, Python jobs are rare compared to PHP or Ruby despite it being higher in several charts. For example, Python is commonly used to learn programming in schools and colleges. Newer languages such as Ruby and Go inevitably appear further down the chart.Įducational resources are likely to affect results. This is possibly why C tops their chart - the language was developed in 1969 and many historical documents are available. TIOBE is influenced by search engine resources. Both analyze public rather than private repositories which could sway results toward open source technologies. GitHut and RedMonk are similar but that’s to be expected since they use GitHub as a primary source of data.