What programming language is the most popular among programmers? And which one is better is listed on the market? The PyPL Popularity of Programming Language index cited improved lead for the Objective-C language, mainly due to the release of iOS 7. Objective-C language used to build applications for Apple’s popular iOS devices. The release of iOS 7 on September 18 has created a surge of interest in Objective-C and iOS tutorials.
PYPL – Popularity of Programming Language index rediscovers the indicator of programming language popularity. The index gauges popularity by examining how often language tutorials are searched on in Google. According to November statistics, Python has the biggest increase in the last decade. The language has increased its market share search by 1.4 percent to reach 10.3 percent popularity. Python start from scripting and scientific fields, and now becomes increasingly popular, hitting the technologies which are dominated by web and business.
PyPL is based on the statistics of the frequency of search queries in the specified time range using Google Trends, and not on the number of references citations as in the case of TIOBE index. PyPL monitors more advanced options syntax search queries. For example, it takes into account even the national inquiries analogs for all popular languages (not just English). The group then select programming language on the basis of the real needs of statistics, in particular on the basis of data from the StackOverflow sites and Wikipedia.
PyPL index says value of this index is to calculate the popularity of languages from of data sets that can easily reconstruct what is not the case TIOBE. Grading results are rather very different from TIOBE and can be related to observable especially at the reality the developer market.
“The TIOBE Index is a lagging indicator. It counts the number of web pages with the language name. Objective-c programming has over 20 million pages on the web,[s] while C programming has only 11 million.[s] This explains why Objective-C has a high TIOBE ranking. But who is reading those Objective-C web pages? Hardly anyone, according to Google Trends data. Objective C programming is searched 30 times less than C programming.[s] In fact, the use of programming by the TIOBE index is misleading,” says the PyPL website.
KDNuggets recently published its annual poll of top languages for analytics, data mining and data science and R language tops the list with 61 percent share followed by Python (39 percent), and SQL (37 percent). R is commonly used in query languages, statistics, predictive and advanced analytics, programming, business intelligence, and cognitive science in addition to Hadoop execution, in-database execution, parallelized user code, parallelized algorithms, multi-core processing, multi-threaded execution, memory management and fast math libraries.