- Python High Performance（Second Edition）
- Gabriele Lanaro
- 43字
- 2021-07-09 21:01:57
Getting started with NumPy
The NumPy library revolves around its multidimensional array object, numpy.ndarray. NumPy arrays are collections of elements of the same data type; this fundamental restriction allows NumPy to pack the data in a way that allows for high-performance mathematical operations.
推薦閱讀
- Objective-C Memory Management Essentials
- 觸·心：DT時代的大數據精準營銷
- Game Programming Using Qt Beginner's Guide
- Linux C/C++服務器開發實踐
- 青少年軟件編程基礎與實戰（圖形化編程三級）
- AIRAndroid應用開發實戰
- 精通API架構：設計、運維與演進
- Web全棧工程師的自我修養
- 名師講壇：Java微服務架構實戰（SpringBoot+SpringCloud+Docker+RabbitMQ）
- Effective Python Penetration Testing
- Java性能權威指南（第2版）
- MySQL數據庫管理與開發實踐教程 (清華電腦學堂)
- 網絡爬蟲原理與實踐：基于C#語言
- HTML5入門經典
- Java程序設計案例教程