我在我的Windows上使用Python 3.7
运行每个代码时都会出现此错误:
Traceback (most recent call last):
File "test.py", line 1, in <module>
import nltk
File "C:\Users\HP\AppData\Local\Programs\Python\Python37\lib\site-packages\nltk\__init__.py", line 99, in <module>
from nltk.internals i
我正在尝试用码头组成来构建这个码头形象:
FROM python:3.7-slim
# Keeps Python from generating .pyc files in the container
ENV PYTHONDONTWRITEBYTECODE=1
# Turns off buffering for easier container logging
ENV PYTHONUNBUFFERED=1
RUN apt-get update && apt-get install -y \
build-essential \
make \
gcc
我试图删除emacs和所有相关和几乎删除emacsen-常见的软件包。对apt remove emacsen-common的输出是:
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following packages were automatically installed and are no longer required:
atril-common bolt cinnamon-common cjs evince-common ev
我尝试用以下命令行安装numpy
pip install numpy
和comand
pip3 install numpy
而且这两种方法都会输出相同的、跨越很多行的长错误消息,我似乎在其他地方找不到解决方案。另外,是的,我运行了pip show numpy,它输出没有找到模块
我不能显示整个错误消息,或者堆栈溢出不允许发送它,但这里有它的一些片段。
DEPRECATION: The -b/--build/--build-dir/--build-directory option is deprecated. pip 20.3 will remove support for this funct
我建立了一个conda env与jupyter笔记本,tensorflow-gpu和它的其他东西从康达-锻造,在build 21.10。我也这样做了:
python -m ipykernel install --user --name=condaenvname
但是,当我选择env/内核时,会出现冲突。在进口tensorflow作为tf之后,我得到:
# what version of tensorflow is running in this env
print(tf.version.VERSION)
2.8.0
当我这么做的时候!conda列表我得到了这个:
tensorflow
我喜欢从头开始编译python 3.8.7,并添加numpy、scipy。Python也编译精细的numpy (禁用的LAPACK=None、BLAS=None、ATLAS=None)。如果我编译了the,就会遇到以下错误:
File "scipy/linalg/setup.py", line 20, in configuration
raise NotFoundError('no lapack/blas resources found')
numpy.distutils.system_info.NotFoundError: no lapack/blas res
我在Ubuntu 16.04上运行,我遇到了Anaconda的问题。由于软件包不一致,我无法再安装、更新或删除软件包。 $ conda info
NVIDIA: no NVIDIA devices found
active environment : None
shell level : 0
user config file : /home/ubuntu/.condarc
populated config files : /home/ubuntu/.condarc
conda version : 4.7.5
c
我刚刚安装了PyTorch,并试图在我的木星笔记本中使用它。在笔记本中,当我运行conda list时,我看到以下内容:
# packages in environment at /Users/whoiam/opt/anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 p
我在Ubuntu 15.04上遇到了Python 2.x的问题。我想完全卸载并重新安装Python。我无法卸载Python,因为mercurial-common依赖于它。我尝试删除它,但得到一个错误:
➜ ~ sudo apt-get remove --purge mercurial-common
Reading package lists... Done
Building dependency tree
Reading state information... Done
The following packages were automatically installed