March 2022
Intermediate to advanced
522 pages
13h 52m
Chinese
Content preview from Python语言及其应用（第2版）
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Python
的科学
｜
419
量分散。你可以分割、连接、扩展、填充、转换、重塑、切片、载入和保存文件。它集成
了本章中讨论过的那些工具（
NumPy
、
SciPy
和
iPython
）
，用以进行统计计算、根据模型
拟合数据、绘制图表、发表，等等。
大多数科学家只是想完成自己的工作，并未打算花费数月时间成为深奥的计算机语言或应
用专家。有了
Python
，他们可以更快地提高效率。
22.7 Python
和各个科学领域
前面讨论的都是几乎可用于任何科学领域的
Python
工具。有没有特定科学领域专用的软件
和文档呢？下面列出了一小部分
Python
在某些具体问题方面的应用以及一些专用库。
通用
•
科学和工程中的
Python
计算
•
科学家的
Python
速成课程
物理学
•
计算物理学
•
天体物理学
• SunPy
（太阳数据分析）
• MetPy
（气象数据分析）
• Py-ART
（气象雷达）
• Community Intercomparison Suite
（大气科学）
• Freud
（轨迹分析）
• Platon
（系外行星大气）
• PSI4
• OpenQuake Engine
• yt
（体积数据分析）
生物和医学
• Biopython
•
生物学家的
Python
•
实用生物信息学入门
• Python
中的神经影像学
• MNE
（神经生理数据可视化）
• PyMedPhys
• Nengo
（神经模拟器）
下面是以
Python
和科学数据为主题的国际会议。
• PyData
• SciPy
• EuroSciPy
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.