官术网_书友最值得收藏!

  • NumPy Essentials
  • Leo (Liang Huan) Chin Tanmay Dutta
  • 129字
  • 2021-07-16 11:16:33

Chapter 2. The NumPy ndarray Object

Array-oriented computing is the very heart of computational sciences. It is something that most Python programmers are not accustomed to. Though list or dictionary comprehension is relative to an array and sometimes used similarly to an array, there is a huge difference between a list/dictionary and an array in terms of performance and manipulation. This chapter introduces a basic array object in NumPy. It covers the information that can be gleaned from the intrinsic characteristics of NumPy arrays without performing any external operations on the array.

The topics that will be covered in the chapter are as follows:

  • numpy.ndarray and how to use it-basic array-oriented computing
  • Performance of numpy.ndarray-memory access, storage, and retrieval
  • Indexing, slicing, views, and copies
  • Array data types
主站蜘蛛池模板: 临颍县| 永清县| 庆城县| 广德县| 交口县| 六盘水市| 黔江区| 峡江县| 扬州市| 左权县| 洛川县| 太康县| 凉城县| 子洲县| 黄浦区| 剑川县| 东丰县| 大化| 光泽县| 麻江县| 昌图县| 焦作市| 独山县| 湄潭县| 革吉县| 左云县| 延寿县| 大新县| 苏尼特左旗| 略阳县| 徐汇区| 凌海市| 贡山| 伊通| 黑水县| 津市市| 九龙县| 内黄县| 海盐县| 太仓市| 阿克苏市|