Archive for the ‘Programming Languages’ tag
Popular Programming Languages
First of all, Happy New Year!
IEEE Spectrum published a ranking of the most popular programming languages. Computational journalist Nick Diakopoulos wrote the article. While it may surprise some, I wasn’t surprised to find SQL in the top ten.
Nick weighted and combined 12 metrics from 10 sources (including IEEE Xplore, Google, and GitHub) to rank the most popular programming languages.
- Compiled programming languages (Java [#1], C [#2], C++ [#3], C# [#4], Objective-C [#16])
- Interpreted programming languages (Python [#5], JavaScript [#6], PHP [#7], Ruby [#8], Perl [#11], HTML [#12])
- Data languages (SQL [#9], MATLAB [#10], R [#13])
I couldn’t resist including Objective-C because it shows how the iPhone, iPad, and Mac OS impact our daily lives. At the same time, Assembly [#15] is actually more popular than Objective-C. Shell [#17] follows Objective-C. While the Visual Basic [#14] programming language still remains very popular.
There are many “why” questions raised by this list of popular programming languages. The “why” from my perspective deals with what are the market drivers for their popularity. The money drivers I see are as follows:
- Business software: Java, C++, C#, and AIDE – Android IDE (works with Java and C++ source code)
- OS X and iOS Development: Objective-C
- Development Tools: Java, C, C++, and Python
- System Admin/Utilities Tools: C, Perl, and Shell
- Web Development: Python, PHP, Ruby, and Perl
- Data Analysis: SQL, MATLAB, and R
Business Intelligence (BI) software manages most high-level data analysis tools and they’ll continue to get better over time. However, if SQL has shown us anything over 30 years it’s that ultimately we revert to it to solve problems. The conclusion from the reality of BI probably means the programming languages that develop those tools will continue to rise and so will the underlying data languages.
It’s also interesting to note that nine out of ten of the popular programming languages work with databases, like Oracle, MySQL, PostgreSQL, or SQL Server. While JavaScript doesn’t access the database typically, it’s JSON (JavaScript Object Notation) is supported in all the databases.