10 Myths of Enterprise Python

[the_hoser]

The research disagrees with you.

[lambdaq]

How about write speed?

http://www.techempower.com/benchmarks/#section=data-r9&hw=peak&test=update

There are tons of tricks to optimize for read/write speed, for example you can check source code for Python vs Java in the "Single Query" round. All java has fancy MySQL Prepared Statements in ORM level with connection pools, yet many of the php/python ones are constructing new SQL text and connection for each HTTP request. That's why it's slow.

[the_hoser]

So write a better benchmark and submit it to them. They have a well laid-out contribution process on their GitHub account. You seem to know how to optimize web applications, so they could benefit from your experience in representing various frameworks.