The PYPL PopularitY of Programming Language Index is created by analyzing how often language tutorials are searched on Google.
The more a language tutorial is searched, the more popular the language is assumed to be. It is a leading indicator. The raw data comes from Google Trends.
If you believe in collective wisdom, the PYPL Popularity of Programming Language index can help you decide which language to study, or which one to use in a new software project.
PYPL popular programming language to create the index is by analyzing the language tutorial on Google search frequency of.
The more the search for language course, the language is considered more popular. This is a leading indicator. Raw data from Google Trends.
If you believe that the collective wisdom, so PYPL popular programming language index can help you decide which language to learn, or which language to use in new software projects.
TIOBE index is a lagging indicator. It calculates the number of names have language web pages. Objective-c-programmed with over 20 million pages, while the C programming only 11 million. [S] This explains why Objective-C has a high TIOBE rankings. But who read pages of Objective-C? According to Google Trends data, almost no one. Objective C programming search volume is 30 times the C programming. [S] Indeed, TIOBE index compiled using the program is misleading (see next question).
