I often find Miniconda’s Python to be faster than Clear’s Python. Is this expected? It sure is nice for the possibility of Python running faster. Is Clear’s Python slow because I’m running on an AMD box?

```
Clear Linux Miniconda Exaloop
Benchmark Python 3.12.1 Python 3.12.1 Pyston 2.3.5 PyPy3 7.3.13 Codon
------------- ------------- ------------- ------------ ------------ ----------
sum 4.125s 3.099s 1.863s 0.093s 1.931e-05
float 10.008s 9.575s 9.002s 2.934s 0.443s
go 12.512s 11.714s 11.208s 4.612s 0.724s
nbody 4.351s 3.988s 1.539s 0.436s 0.244s
chaos 13.062s 12.107s 8.051s 1.383s 0.748s
spectral_norm 46.116s 39.862s 23.181s 0.553s 0.336s
primes 16.333s 13.256s 6.087s 1.550s 0.336s
binary_trees 172.095s 168.788s 399.530s 11.767s 4.815s
```

```
python3 sum/sum.py | tail -n 1
python3 float/float.py | tail -n 1
python3 go/go.py | tail -n 1
python3 nbody/nbody.py 1000000 | tail -n 1
python3 chaos/chaos.py /dev/null | tail -n 1
python3 spectral_norm/spectral_norm.py | tail -n 1
python3 primes/primes.py 30000 | tail -n 1
python3 binary_trees/binary_trees.py 20 | tail -n 1
codon run -release sum/sum.py | tail -n 1
codon run -release float/float.py | tail -n 1
codon run -release go/go.codon | tail -n 1
codon run -release nbody/nbody.py 1000000 | tail -n 1
codon run -release chaos/chaos.codon /dev/null | tail -n 1
codon run -release spectral_norm/spectral_norm.py | tail -n 1
codon run -release primes/primes.codon 30000 | tail -n 1
codon run -release binary_trees/binary_trees.codon 20 | tail -n 1
```