So, I am trying to run a Python notebook using Jupyter. The notebook currently only contains some import statements as I am just setting up the document before starting the project. However, I encountered an error saying:

`TypeError                                 Traceback (most recent call last)
~AppDataLocalTempipykernel_2123284111605.py in <module>
     17 #import numpy as np
     18 #from scipy import stats
---> 19 import tensorflow as tf
     20 #import matplotlib.pyplot as plt
     21 #import seaborn as sns

~anaconda3libsite-packagestensorflow__init__.py in <module>
     43 _tf2.enable()
     44 
---> 45 from tensorflow._api.v2 import __internal__
     46 from tensorflow._api.v2 import __operators__
     47 from tensorflow._api.v2 import audio

~anaconda3libsite-packagestensorflow_apiv2__internal____init__.py in <module>
      6 import sys as _sys
      7 
----> 8 from tensorflow._api.v2.__internal__ import autograph
      9 from tensorflow._api.v2.__internal__ import decorator
     10 from tensorflow._api.v2.__internal__ import dispatch

~anaconda3libsite-packagestensorflow_apiv2__internal__autograph__init__.py in <module>
      6 import sys as _sys
      7 
----> 8 from tensorflow.python.autograph.core.ag_ctx import control_status_ctx # line: 34
      9 from tensorflow.python.autograph.impl.api import tf_convert # line: 493

~anaconda3libsite-packagestensorflowpythonautographcoreag_ctx.py in <module>
     19 import threading
     20 
---> 21 from tensorflow.python.autograph.utils import ag_logging
     22 from tensorflow.python.util.tf_export import tf_export
     23 

~anaconda3libsite-packagestensorflowpythonautographutils__init__.py in <module>
     15 """Utility module that contains APIs usable in the generated code."""
     16 
---> 17 from tensorflow.python.autograph.utils.context_managers import control_dependency_on_returns
     18 from tensorflow.python.autograph.utils.misc import alias_tensors
     19 from tensorflow.python.autograph.utils.tensor_list import dynamic_list_append

~anaconda3libsite-packagestensorflowpythonautographutilscontext_managers.py in <module>
     17 import contextlib
     18 
---> 19 from tensorflow.python.framework import ops
     20 from tensorflow.python.ops import tensor_array_ops
     21 

~anaconda3libsite-packagestensorflowpythonframeworkops.py in <module>
     28 from absl import app
     29 import numpy as np
---> 30 from numpy import typing as npt
     31 
     32 from google.protobuf import message

~anaconda3libsite-packagesnumpytyping__init__.py in <module>
    156 # further down in this file
    157 
--> 158 from numpy._typing import (
    159     ArrayLike,
    160     DTypeLike,

~anaconda3libsite-packagesnumpy_typing__init__.py in <module>
    162     _ShapeLike as _ShapeLike,
    163 )
--> 164 from ._dtype_like import (
    165     DTypeLike as DTypeLike,
    166     _DTypeLike as _DTypeLike,

~anaconda3libsite-packagesnumpy_typing_dtype_like.py in <module>
     15 
     16 from ._shape import _ShapeLike
---> 17 from ._generic_alias import _DType as DType
     18 
     19 from ._char_codes import (

~anaconda3libsite-packagesnumpy_typing_generic_alias.py in <module>
    239 
    240 if TYPE_CHECKING or sys.version_info >= (3, 9):
--> 241     _DType = np.dtype[ScalarType]
    242     NDArray = np.ndarray[Any, np.dtype[ScalarType]]
    243 else:

TypeError: 'numpy._DTypeMeta' object is not subscriptable`

I have tried uninstalling and reinstalling the TensorFlow package along with NumPy. I have also tried updating the packages, as well as installing specific versions, but still no luck. I expected these actions to resolve the import errors and allow my code to run without issues. However, when I fix one error, a different error appears.