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Знакомство с Python: история, \"философия\", основные операции\n1. Основные операторы.\n2. Списки и двухмерные массивы.\n3. Кортежи, дополнительные циклы и управляющие конструкции.\n4. Работа со строками и текстовыми файлами.\n5. Коллекции и функции в Python.\n6. Функциональное программирование и Python.\n7. Введение в ООП на Python.\n8. Основы работы в консоли Linux.\n9. Регулярные выражения в Python. Bonus: sed.\n10. Введение в numpy.\n11. Обзор средств для работы с распространёнными форматами данных: tsv, csv, XML, JSON.\n12. scipy.sparse, pandas\n13. scikit-learn: задача классификации\n14. scikit-learn: unsupervised learning (только задача кластеризации)\n15. scikit-learn: задача регрессии; регуляризация.\n16. Прочие инструменты анализа данных (nltk, spacy, skimage, keras, networkx, ...).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falexeyev%2Fhse-spb-bigdata-python-fall2016","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falexeyev%2Fhse-spb-bigdata-python-fall2016","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falexeyev%2Fhse-spb-bigdata-python-fall2016/lists"}