我有一本名为《与皮顿的科学编程(2009年)》的书,其中示例代码大量使用SciTools。我使用Python 3.2 64(考虑同时安装2.7个/开发环境;以后更多),SciTools尚未投入使用。
Scitops 是否被NumPy/SciPy 取代了多种目的? 还是什么? EazyViz? 我完全可以读读这本书,并将代码转换成 API / 模块中的3.2 。 我宁愿这样做,而不是建立 Python 2. 7 系统。
你建议设置什么?
我有一本名为《与皮顿的科学编程(2009年)》的书,其中示例代码大量使用SciTools。我使用Python 3.2 64(考虑同时安装2.7个/开发环境;以后更多),SciTools尚未投入使用。
Scitops 是否被NumPy/SciPy 取代了多种目的? 还是什么? EazyViz? 我完全可以读读这本书,并将代码转换成 API / 模块中的3.2 。 我宁愿这样做,而不是建立 Python 2. 7 系统。
你建议设置什么?
Scipy/Numpy是使用 Python 进行科学/数字计算的实际标准。 绝大多数的包件( 包括Scitools) 都建在上面 。 在许多方面, 它看起来像 Scitools, 只是 Numpy/ Scipy/ Matplotlib 周围的默认包装 。
就Python 3支持、Numpy和Scipy的支持而言,
< a href=" "http://onpython3yet.com/packages/ requirements?r=numpy%0D%00Amatplotlib%0D0Ascipy%0D0Ascipy.com/packages/requirements?r=numpy%0D%0Amatplotlib%0D0Ascipy
我个人从未使用过Scitools, 因为我更喜欢直接使用其他图书馆的低层控制。 我也坚持 Python 2. 7, 因为完整的科学编程库还没有完成迁移到 Python 3 。
也可以查看 < a href=> "http://pandas.pydata.org" rel="no follow" >Pandas 的数值工作。 它建在 NumPy 上方。
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