I run the following script:
Code:
cls about python query clear all macro drop _all numlist "1/17" timer clear // timing python script timer on 1 tuples `r(numlist)' timer off 1 macro drop _tuple* // timing mata code timer on 2 tuples `r(numlist)' , nopython timer off 2 timer list
Here are results from Stata 16
Code:
Stata/IC 16.1 for Windows (64-bit x86-64)
Revision 14 Jun 2022
Copyright 1985-2019 StataCorp LLC
Total physical memory: 16.00 GB
Available physical memory: 10.67 GB
Stata license: Single-user perpetual
Serial number: omitted
Licensed to: omitted
. python query
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
omitted
Python system information
initialized yes
version 3.10.0
architecture 64-bit
library path omitted\Python\Python310\python310.dll
omited
. timer list
1: 2.47 / 1 = 2.4660
2: 5.35 / 1 = 5.3530Python does the job in about 2.5 seconds; in half the time it takes Mata.
Here are the results from the identical script in Stata 17:
Code:
. about
Stata/BE 17.0 for Windows (64-bit x86-64)
Revision 23 Aug 2022
Copyright 1985-2021 StataCorp LLC
Total physical memory: 16.00 GB
Available physical memory: 10.65 GB
Stata license: Single-user perpetual
Serial number: omitted
Licensed to: omitted
. python query
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
omitted
Python system information
initialized yes
version 3.10.4
architecture 64-bit
library path omitted\Python\Python310\python310.dll
omitted
. timer list
1: 6.54 / 1 = 6.5350
2: 4.90 / 1 = 4.8980Good news: Mata is faster now. Bad news: Python is much slower.
What is going on?
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