| 000 | 01354nam a22002057a 4500 | ||
|---|---|---|---|
| 999 |
_c2463 _d2463 |
||
| 003 | OSt | ||
| 005 | 20200224102514.0 | ||
| 008 | 200117b ||||| |||| 00| 0 eng d | ||
| 020 | _a978-9305023-963-6 | ||
| 028 |
_bAllied Informatics, Jaipur _c7084 _d13/01/2020 _q2019-20 |
||
| 040 |
_aBSDU _bEnglish _cBSDU |
||
| 082 |
_a005.133 _bBRE |
||
| 100 | _aBressert,Eli | ||
| 245 | _aScipy and Numpy | ||
| 260 |
_aMumbai _bShroff Publishers & Distributors Pvt. Ltd. _c2019 |
||
| 300 | _a57 | ||
| 504 | _aLearn the basics of SciPy and NymPy quickly. With this concise introduction, youâll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries. Youâll also understand why theyâre powerful enough for many of todayâs leading scientists and engineers. This overview shows you how to use NumPy for numerical processing, including array indexing, math operations, and loading and saving data. Youâll learn how SciPy helps you work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to a whole new level. This book also introduces add-on SciKits packages that focus on advanced imaging algorithms and machine learning. | ||
| 650 | _aPython | ||
| 942 |
_2ddc _cBK |
||