纯净的环境也安装不上d2l，python3.9能装上，运行就报错。
各位别像我一样耍小聪明用 python 3.10， 当前 d2l包和相关依赖只支持Python 3.9
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Python 的 版本装错了， 只能装 python 3.9，然后 pandas 的版本得退回到 1.2.4
参照文档，M2机器，在python3.9下，
pip install torch==1.12.0
pip install torchvision==0.13.0
pip install d2l==0.17.6
执行导入d2l包之后报错
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[1], line 6
4 import torch
5 from torch import nn
----> 6 from d2l import torch as d2l
File ~/anaconda3/envs/d2l4/lib/python3.9/site-packages/d2l/torch.py:32
30 import zipfile
31 from collections import defaultdict
---> 32 import pandas as pd
33 import requests
34 from IPython import display
File ~/anaconda3/envs/d2l4/lib/python3.9/site-packages/pandas/__init__.py:29
22 from pandas.compat.numpy import (
23 np_version_under1p17 as _np_version_under1p17,
24 np_version_under1p18 as _np_version_under1p18,
25 is_numpy_dev as _is_numpy_dev,
26 )
28 try:
---> 29 from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib
30 except ImportError as e: # pragma: no cover
31 # hack but overkill to use re
32 module = str(e).replace("cannot import name ", "")
File ~/anaconda3/envs/d2l4/lib/python3.9/site-packages/pandas/_libs/__init__.py:13
1 __all__ = [
2 "NaT",
3 "NaTType",
(...)
9 "Interval",
10 ]
---> 13 from pandas._libs.interval import Interval
14 from pandas._libs.tslibs import (
15 NaT,
16 NaTType,
(...)
21 iNaT,
22 )
File pandas/_libs/interval.pyx:1, in init pandas._libs.interval()
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject
同样报错，兄弟解决了嘛。。。。。。。。。。
还在吗，我是这样弄好的
pip install d2l ——> pip install d2l pandas==1.5.3
运行代码jupyter notebook后显示，‘jupyter’ 不是内部或外部命令，也不是可运行的程序
或批处理文件。请问这里应该如何解决？