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...
Spremljeno u:
| Glavni autor: | |
|---|---|
| Format: | Knjiga |
| Jezik: | Undetermined |
| Izdano: |
New York
Cambridge University Press
2015
|
| Teme: | |
| Oznake: |
Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|