Why there is a lot of crowds who want to know which is the most leading programming languages? Because people usually learn that language only where they find that there are multiple ways of earning in big units.
Popular Languages are more in demand as there are many developers also who are building products, as they want to make sure that are they making the right solution for the customers. It's very important to support the most popular environments.
Finally, if you're starting a project, you need to choose what language to build in. Your first criterion should always be to use a language that can get the job done. If one language is hugely popular but would take two years to code, and another is less popular but would take two months for your application, you clearly should choose the less popular language. But, all things being equal, choosing a more popular language generally means access to more programmers and resources, so that's an important consideration as well.
What does Popular Language mean?
So which language is most popular? So the ultimate key is to determine what defines popular.
The article shows a number of possible factors for measuring popularity, including:
The number of times the language name is mentioned in web searches, such as indicated by Google Trends
The number of job advertisements that mention the language
The number of books sold that teach or describe the language
Estimates of the number of existing lines of code written in the language, which may underestimate languages not often found in public searches
The number of projects in that language on SourceForge, Freecode, and GitHub
The number of postings in forums and newsgroups about the language
DIFFERENT MEASUREMENT SOURCES
Therein lies the rub. Even with an understanding that popularity can be measured based on so many different factors, students and professionals still want to know if they're guiding their careers and companies in the right direction.
There are a number of online sites that publish language popularity metrics, each according to different criteria. IEEE Spectrum takes an interesting approach because it has an interactive chart that allows you to weight different factors, like job site listings or open source hub projects.
Coding Dojo has a chart where it aggregates stats from job search engine Indeed.com. Tiobe has long used search engine aggregates to calculate popularity. PyPl looks at the popularity of language tutorials on Google.
Ok, so let's see which is the most popular language?
To help give you some guidance, various sources are combined here. For the three IEEE categories, trending means the languages that seem to be growing, jobs reflect job offerings at Dice.com and CareerBuilder, and openly reflects the number of open source projects.
The result was the rankings in the following chart:
But the problem is, that really doesn't tell you where to focus. This data is aggregated from multiple sources. Here you can see the top ten results and generated the chart the following language cluster aggregation chart.
SO WHAT DOES THIS REALLY TELL US?
The languages in the first cluster, Java, C, Python, and C++, are pretty much universal languages. They're not tied to a specific programming platform or focus.
There are a few more interesting things that you should note. First, Coding Dojos top language was SQL. That makes sense, except it doesn't. You very rarely only code in SQL. You use SQL to access data, but you manage those data queries in another language. So its good (necessary, even) to know SQL. However, just taking a SQL course won't guarantee you a job, good money, or life on Easy Street.
Second, the Apple specific languages are lower on the charts than you might initially expect, given the popularity of iOS apps. But it makes sense. If you want to go off and build your own app, you want to learn those languages. But there aren't a huge number of companies hiring Apple app developers, at least primarily. That's why Swift is relatively far down the chart. Objective-C is being replaced by Swift, and we can see it dropping right before our eyes.