在卸载Anaconda以解决Jupyter notebook内核的问题之后，我试图运行一个需要

from mpl_toolkits.mplot3d import Axes3D
from matplotlib.colors import LogNorm
from matplotlib import animation
from IPython.display import HTML
from autograd import elementwise_grad, value_and_grad
from scipy.optimize import minimize
from collections import defaultdict
from itertools import zip_longest
from functools import partial

然后得到了这个消息

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-2-29781769facb> in <module>()
     10 
     11 from autograd import elementwise_grad, value_and_grad
---> 12 from scipy.optimize import minimize
     13 from collections import defaultdict
     14 from itertools import zip_longest

c:\python27\lib\site-packages\scipy\__init__.py in <module>()
     59 __all__ = ['test']
     60 
---> 61 from numpy._distributor_init import NUMPY_MKL  # requires numpy+mkl
     62 
     63 from numpy import show_config as show_numpy_config

ImportError: cannot import name NUMPY_MKL

安装scipy.optimize：

C:\Users\Toni>pip install scipy.optimize
Collecting scipy.optimize
Could not find a version that satisfies the requirement scipy.optimize (from versions: )
No matching distribution found for scipy.optimize

我在64位计算机上使用Windows 10和Python 2.7.13。
我尝试了以下方法：

>C:\Users\Toni>pip install scipy
Requirement already satisfied: scipy in c:\python2/\lib\site-packages
Requirement already satisfied: numpy>=1.8.2 in c:\python2/\lib\site-package (from scipy)

进度注解：
好的...看起来scipy可能安装不正确（按照第一个答案的线索）...所以我卸载了它，然后试着...
pip install scipy

failed with error code 1 in c:\users\toni\appdata\local\temp\pip-build-vnjyae\scipy

它发送给我here，稍后在这里，但不是那么快，首先在这里停止选择哪个难题：

NumPy, a fundamental package needed for scientific computing with Python.
Numpy+MKL is linked to the Intel® Math Kernel Library and includes required DLLs in the numpy.core directory.
numpy‑1.11.3+mkl‑cp27‑cp27m‑win32.whl
numpy‑1.11.3+mkl‑cp27‑cp27m‑win_amd64.whl
numpy‑1.11.3+mkl‑cp34‑cp34m‑win32.whl
numpy‑1.11.3+mkl‑cp34‑cp34m‑win_amd64.whl
numpy‑1.11.3+mkl‑cp35‑cp35m‑win32.whl
numpy‑1.11.3+mkl‑cp35‑cp35m‑win_amd64.whl
numpy‑1.11.3+mkl‑cp36‑cp36m‑win32.whl
numpy‑1.11.3+mkl‑cp36‑cp36m‑win_amd64.whl
numpy‑1.13.0+mkl‑cp27‑cp27m‑win32.whl
numpy‑1.13.0+mkl‑cp27‑cp27m‑win_amd64.whl
numpy‑1.13.0+mkl‑cp34‑cp34m‑win32.whl
numpy‑1.13.0+mkl‑cp34‑cp34m‑win_amd64.whl
numpy‑1.13.0+mkl‑cp35‑cp35m‑win32.whl
numpy‑1.13.0+mkl‑cp35‑cp35m‑win_amd64.whl
numpy‑1.13.0+mkl‑cp36‑cp36m‑win32.whl
numpy‑1.13.0+mkl‑cp36‑cp36m‑win_amd64.whl

here是关键（可能）：
在cmd提示符下键入python，我得到：

Python 2.7.13 (v2.7.13:a06454b1afa1, Dec 17 2016, 20:42:59) [MSC v.1500 32 bit (Intel)] on win 32

因此，从Python 2.7开始，我需要27版本，从win 32开始，我必须忽略我有一台64位计算机的事实。如此清晰。。