Learning scientific programming with Python

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Learning scientific programming with Python

The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study...

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Библиографические подробности
Главный автор:	Hill, Christian
Формат:	‌
Язык:	Undetermined
Опубликовано:	New York Cambridge University Press 2015
Предметы:	Science,Khoa học,Python (Computer program language),Python (Ngôn ngữ chương trình máy tính) Data processing.,Xử lý dữ liệu
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ

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