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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Bibliografske podrobnosti
Glavni avtor:	Hill, Christian
Format:	Knjiga
Jezik:	Undetermined
Izdano:	New York Cambridge University Press 2015
Teme:	Science,Khoa học,Python (Computer program language),Python (Ngôn ngữ chương trình máy tính) Data processing.,Xử lý dữ liệu
Oznake:	Označite Brez oznak, prvi označite!

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

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