(Feb-14-2021, 01:32 AM)Skaperen Wrote: i am curious how easy it might be go a step further a generate C or machine codes to increase runtime execution performance in certain cases.

# loop_test.py
import time

start_time = time.time()
total = 0
for i in range(1, 10000):
    for j in range(1, 10000):
        total += i + j

print(f"The result is {total}")
end_time = time.time()
print(f"It took {end_time-start_time:.2f} seconds to compute")

Output:
# Using Python 3.9.1
G:\pypy3.7
λ python loop_test.py
The result is 999800010000
It took 16.97 seconds to compute

# Using PyPy 3.7
G:\pypy3.7
λ pypy3 loop_test.py
The result is 999800010000
It took 2.72 seconds to compute

# Using Python 
tom@tom-VirtualBox:~$ python -V
Python 3.9.1
tom@tom-VirtualBox:~$ python loop_test.py 
The result is 999800010000
It took 23.34 seconds to compute

# Take down PyPy 
tom@tom-VirtualBox:~$ pyenv install pypy3.7-7.3.3
continue with installation? (y/N) y
Downloading pypy3.7-v7.3.3-linux64.tar.bz2...
-> https://downloads.python.org/pypy/pypy3.7-v7.3.3-linux64.tar.bz2
Installing pypy3.7-v7.3.3-linux64...

# Set system wide
tom@tom-VirtualBox:~$ pyenv global pypy3.7-7.3.3
tom@tom-VirtualBox:~$ pypy3 -V
Python 3.7.9 (7e6e2bb30ac5, Nov 18 2020, 10:55:52)
[PyPy 7.3.3-beta0 with GCC 7.3.1 20180303 (Red Hat 7.3.1-5)]
# Run
tom@tom-VirtualBox:~$ pypy3 loop_test.py 
The result is 999800010000
It took 1.31 seconds to compute