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Изворен канал @pythonotes · Post #172 · 26 окт.
Метод строки isidentifier() поможет узнать, подходит ли данная строка в качестве имени объекта. Вполне может заменить самостоятельно придуманную регулярку. >>> 'some_name'.isidentifier() True Обычное имя переменной >>> '私は手紙です'.isidentifier() True Юникод в качестве имени тоже доступен >>> '1_name'.isidentifier() False Имя не может начинаться с цифры >>> '੬_name'.isidentifier() False Включая все цифры юникода >>> 'some name'.isidentifier() False Пробелы недопустимы #basic
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Пребарај: #automl
@repo_science · Post #3807 · 19.12.2023 г., 05:08
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@githubtrending · Post #14863 · 24.06.2025 г., 13:30
#other#automl#chatgpt#data_analysis#data_science#data_visualization#data_visualizations#deep_learning#gpt#gpt_3#jax#keras#machine_learning#ml#nlp#python#pytorch#scikit_learn#tensorflow#transformer This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently. https://github.com/ml-tooling/best-of-ml-python