今天,我试图在没有GPU的情况下安装Google的TensorFlow for Python3。当我运行命令时:
sudo -H pip3 install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp34-cp34m-linux_x86_64.wh
它抛出错误:
tensorflow-0.8.0-cp34-cp34m-linux_x86_64.whl is not a supported wheel on this platform
我知道已经有一个问题有正确的答案,但这个答案是针对Python2
我正在使用python3 tkinter在Linux上构建一个小型图形用户界面,我在安装tkinter时安装了所有依赖项(cython、numpy、熊猫等)。
pip3 install tk
$ python3
Python 3.6.8 (default, Nov 16 2020, 16:55:22)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-44)] on linux
Type "help", "copyright", "credits" or "license" for more informat
我正在尝试在我的windows机器上下载一些模块,通过FTP将它们传输到安装了Python3和pip的离线Linux服务器。然后使用pip在那里安装模块。
pip download --platform linux_x86_64 --only-binary=:all: --no-binary=:none: pandas
给出错误:
Could not find a version that satisfies the requirement pandas (from versions: )
No matching distribution found for pandas
我可以使用下面
我在我的django应用程序中使用pdfkit,在我的机器上安装wkhtmltopdf后,它似乎工作得很好。但是,当我为生产环境构建我的应用程序的docker镜像并在本地运行它时,它给出了docker镜像的操作系统错误。我已经尝试了我在web上找到的所有东西,但似乎无法在我的docker容器上安装wkhtmltopdf。这是我用来构建镜像的Docker文件,它会在安装包时给出错误。 FROM python:3.6.9
RUN wget https://github.com/wkhtmltopdf/wkhtmltopdf/releases/download/0.12.1/wkhtmltox-
PackagesNotFoundError: The following packages are not available from current channels:
- python_cypher==0.14.2
Current channels:
- https://conda.anaconda.org/conda-forge/linux-64
- https://conda.anaconda.org/conda-forge/noarch
- https://repo.anaconda.com/pkgs/main/linux-64
- https://rep
我和ubuntu 14.04有个奇怪的问题。当我尝试更新我的系统或安装任何软件时,我有一个错误。
$ sudo apt-get install 4digits
Reading package lists... Done
Building dependency tree
Reading state information... Done
You might want to run 'apt-get -f install' to correct these:
The following packages have unmet dependencies:
4di
我想安装sequitor g2p,一个数据驱动的字素到音素转换器
生成隔离程序时出错-g2p
我给$ python setup.py install --prefix /usr/local/下了命令
获取错误,如下所示:
Utility.cc:43:21: error: ‘EOF’ was not declared in this scope
if (is.get() == EOF) return EOF;
^
Utility.cc:48:35: error: ‘EOF’ was not declared in this scope
我正在尝试从EC2实例上的虚拟环境(运行Python2.7)安装MySQLdb模块:
NAME="Amazon Linux AMI"
VERSION="2016.09"
ID="amzn"
ID_LIKE="rhel fedora"
VERSION_ID="2016.09"
PRETTY_NAME="Amazon Linux AMI 2016.09"
ANSI_COLOR="0;33"
CPE_NAME="cpe:/o:amazon:linux:2016.09:ga"