Pythonは、プログラミング言語
for i in range(1, 101):
if i % 15 == 0:
print("FizzBuzz")
elif i % 3 == 0:
print("Fizz")
elif i % 5 == 0:
print("Buzz")
else:
print(i)
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
💡 PEP (Python Enhancement Proposal) について
様々な言語処理系
CPython
Pythonのリファレンス実装
Python APIを用いてC/C++で作られたライブラリを呼び出せる https://docs.python.org/ja/3/extending/extending.html
Cython
PyPy
Pyodide
パフォーマンス
CPythonは一般的に、実行時のパフォーマンスに劣る言語処理系とされる
一方で、前述のC/C++による拡張により解決できる
scikit-learn (cluster/dbscan) の例。通常のPythonコードに加え、Cythonコードとビルド済みの動的ライブラリが組み込まれている (https://github.com/scikit-learn/scikit-learn/tree/main/sklearn/cluster)