@fotosyfondos · Post #9728 · 23.11.2018 г., 16:39
📸🖼📸🖼📸🖼📸🖼📸🖼📸🖼 ➡️ Fantasmas #Fantasmas#Terror#Luigi#FondosDePantalla @fotosyfondos 📸🖼📸🖼📸🖼📸🖼📸🖼📸🖼
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Изворен канал @pythonotes · Post #85 · 15 мај
"Ну и как же нам перекидывать строки ви числа?" спросите вы. Проверять каждый символ, очистив строку от лишних знаков и точек. Потом конвертить допустимые символы в числа и восстанавливать знак, дробную чусть и тд??? Самый быстрый способ это просто "попробовать" 😜 text = "-0.3" try: num = float(text) except ValueError: print('Dough!') Всё остальное это уже парсинг и разбор символов для иных целей. #basic
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Пребарај: #luigi
@fotosyfondos · Post #9728 · 23.11.2018 г., 16:39
📸🖼📸🖼📸🖼📸🖼📸🖼📸🖼 ➡️ Fantasmas #Fantasmas#Terror#Luigi#FondosDePantalla @fotosyfondos 📸🖼📸🖼📸🖼📸🖼📸🖼📸🖼
@djangoproject · Post #275 · 18.03.2017 г., 01:51
https://github.com/spotify/luigi Writing batch jobs is generally only one part of processing heaps of data; you also have to string all the jobs together into something resembling a #workflow or a #pipeline. #Luigi, created by Spotify and named for the other plucky plumber made famous by Nintendo, was built to "address all the plumbing typically associated with long-running batch processes." With Luigi, a developer can take several different unrelated data processing tasks — "a Hive query, a Hadoop job in Java, a Spark job in Scala, dumping a table from a database" — and create a workflow that runs them, end to end. The entire description of a job and its dependencies are created as Python modules, not as XML config files or another data format, so it can be integrated into other Python-centric projects. #Machine_learning