python-mpipinstall-Upip ## 安装库: pipinstallnumba(自动安装numpy,且匹配合适版本)pipinstallscipypipinstallmatplotlibpipinstallseaborn(自动安装pandas,且匹配合适版本)pipinstallpyqt5pipinstallsympy# 符号运算pipinstallpyarmor# 源代码加密pi
第二步,pip install --timeout=100 --proxy=10.30.21.6:808 -i https://pypi.tuna.tsinghua.edu.cn/simple -U spyder PyQt5 tensorflow opencv-python opencv-contrib-python 这两步完成基本应用 第三步,是针对ipython notebook的 在命令行里,easy_install.exe pyzmq 在命令行里,easy_install.exe jinja2 在...
1pip install VTK-7.0.0-cp27-cp27m-win32.whl 这次可以成功安装mayavi。 补充: (I)把原来写的程序import enthought.mayavi改成import mayavi; (II)如果想要让之前最小二乘法那个程序跑起来,还须装上一个叫PyQt的包。这个包也是pip不了的,得从我刚才给的那个网址下。 3、安装SimpleGUICS2Pygame 这是我接下...
#AutoInstallPackages.py import os packages = {"numpy","matplotlib","pillow","sklearn","requests",\ "jieba","beautifulsoup4","wheel","networkx","sympy",\ "pyinstaller","django","flask","werobot","pyqt5",\ "pandas","pyopengl","pypdf2","docopt","pygame"}#这里也可以使用三个引号直接...
pip install numpy matplotlib pandas scipy scikit-learn Gym 安装指定版本的库:conda/pip install package==version #例pip install pillow==7.2.0 update和upgrade 设置conda不自动启动base环境: conda config --set auto_activate_base false 设置conda自动启动base环境: conda config --set auto_activate_base ...
该程序(Batchinstall.py)源代码,如下: import os libs = {'numpy', 'matplotlib', 'pillow', 'sklearn', 'request', 'jieba', 'beautifulsoup4', 'wheel', 'networkx', 'sympy' 'pyinstaller', 'django', 'flask', 'werobot', 'pyqt5',
在不使用pip安装pyqt5和pyqt5-tools的情况下,可以通过以下步骤手动安装: 1. 首先,下载pyqt5和pyqt5-tools的源码包,可以从PyQt官方网站(https://www...
笔者在安装一些依赖,比如dtale会默认安装cupy cupy,一种类似numpy,使用CUDA的GPU硬件加速 一般需要有cuda才可以使用,但是很多时候会错误安装,造成以下报错: AttributeError...: type object 'cupy.core.core.broadcast' has no attribute '__reduce_cython__' 甚至一些依赖如果一旦安装cupy,一些依赖就会默认使用...,...
matplotlib>=3.2.2 numpy>=1.18.5 opencv-python==4.5.4.60 Pillow>=7.1.2 PyYAML>=5.3.1 requests>=2.23.0 scipy>=1.4.1 torch>=1.7.0 torchvision>=0.8.1 tqdm>=4.64.0 filterpy==1.4.5 scikit-image==0.19.3 lap==0.4.0 The error
pip install --upgrade tensorflow # this was under 2.6.1; needs ==2.6.1 now conda install matplotlib seaborn nvidia-smi conda install -c conda-forge notebook jupyter ipykernel jupyter_contrib_nbextensions jupyter notebook --generate-config ...