Google App Engine Led To A 45% Rise In Python Usage

Python scripting language use has increased by 45% since Spring 2008 according the an Evans Data North American Development Survey. Only 13% of developers used Python before Google announced its App Engine platform in Spring 2008, which at the time only supported Python, but that number has increased to 20.3% today. Other scripting language use remained relatively constant, with only small gains or losses in popularity among languages such as Ruby, PHP, Perl and Actionscript.

“Python has been around since 1989, but never had many users until recently, “said Janel Garvin, of Evans Data. “This adoption change illustrates the power of Google and the promise of Cloud Computing on which Google’s App Engine depends. As the computing landscape evolves with the Cloud, so will the adoption of surrounding technologies, as we see here.”

Other highlights from the report include:

  • Only 8.7% of North American developers are currently using a cloud service as a development environment, but another 18% plan to within the coming year.
  • Agile is the most commonly used programming model being used today in North America, with slightly less than 40% more developers using it than the waterfall method.
  • Lack of corporate priority is the biggest inhibitor in the adoption and Implementation of SOA.

Google App Engine however no longer supports only Python & now supports Java as well as as several scripting languages that run on the Java platform. So it is likely that Python usage might have dropped since the launch of Java support on Google App Engine.

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2 thoughts on “Google App Engine Led To A 45% Rise In Python Usage

  • November 16, 2009 at 4:10 am
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    I believe their usage in Java could be increased if they do some thing with the database layer. As they are not supporting SQL. So in my opinion its a big overhead for existing applications to port to GAE.

  • November 15, 2009 at 10:40 pm
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    I believe their usage in Java could be increased if they do some thing with the database layer. As they are not supporting SQL. So in my opinion its a big overhead for existing applications to port to GAE.

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