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使用NumPy进行数组编程
Charles R Harris1, K Jarrod Millman2,3,4, Stéfan J van der Walt5,6,7
1Independent researcher, Logan, UT, USA.
Nature
|September 17, 2020
概括
NumPy是一个基本的Python编程库,为各个领域的科学数据分析提供了强大的范式. 它的广泛采用和互操作能力正在塑造科学和工业计算的未来.
科学领域:
- 科学计算
- 数据分析
- 在 Python 编程中
背景情况:
- 数组编程为数据处理提供了一个紧的语法.
- NumPy是Python的主要数组编程库.
- 它对于各种科学领域的研究至关重要.
研究的目的:
- 审查科学数据分析的基本阵列概念.
- 突出NumPy在科学Python生态系统中的基本作用.
- 讨论NumPy作为一个互操作层的功能.
主要方法:
- 对数组编程概念的审查.
- 考察NumPy在科学研究中的作用和影响.
- 对NumPy的API及其未来应用的框架进行分析.
主要成果:
- NumPy可以进行强大,紧和富有表现力的数据处理.
- 它是物理学,天文学,生物学等领域的研究管道的组成部分.
- NumPy促进了各种数组计算库之间的互操作性.
结论:
- NumPy的数组编程范式简化了科学数据的探索和分析.
- 它是科学 Python 生态系统的基石.
- NumPy为未来的科学和工业分析提供了一个灵活的框架.
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