conda create —name myenv python=3.8 anaconda=4.7.12 numpy pandas scikit-learn matplotlib scipy ipython jupyter-client ipykernel jupyterlab nodejs=14.16.0 matplotlib=3.4.2 ipywidgets=7.5.0 sqlalchemy dask distributed dask-ml bokeh xarray networkx pillow jupyter_client=4.1.2+py38_0 jupyter_core...
nbconvert conda-forge/osx-64::nbconvert-5.6.1-py37_0 nbformat conda-forge/noarch::nbformat-5.0.3-py_0 notebook conda-forge/osx-64::notebook-6.0.1-py37_0 pandoc conda-forge/osx-64::pandoc-2.9.1.1-0 pandocfilters conda-forge/noarch::pandocfilters-1.4.2-py_1 parso conda-forge/noarch::...
nbformat 5.10.4 pyhd8ed1ab_1 conda-forge ncurses 6.5 he02047a_1 conda-forge nlohmann_json 3.11.3 he02047a_1 conda-forge oniguruma 6.9.9 hd590300_0 conda-forge openssl 3.4.0 hb9d3cd8_0 conda-forge oras-py 0.1.14 pyhd8ed1ab_0 conda-forge packaging 24.2 pyhd8ed1ab_2 conda-forge...
nbformat: 4.0.1-py35_0 --> 4.1.0-py35_0 notebook: 4.2.1-py35_0 --> 4.2.3-py35_0 pickleshare: 0.7.3-py35_0 --> 0.7.4-py35_0 pillow: 3.2.0-py35_1 conda-forge --> 3.3.1-py35_0 pyqt: 4.11.4-py35_4 --> 5.6.0-py35_0 pyyaml: 3.11-py35_4 --> 3.12-py35_0...
- nbformat==4.4.0 - networkx==2.2 - notebook==5.7.8 - numba==0.43.1 - packaging==19.0 - pandocfilters==1.4.2 - pathlib2==2.3.3 - patsy==0.5.1 - pbr==5.1.3 - pexpect==4.6.0 - pickleshare==0.7.5 - pkginfo==1.5.0.1 ...
nbformat 5.1.3 pypi_0 pypi nest-asyncio 1.5.1 pypi_0 pypi notebook 6.4.6 pypi_0 pypi numpy 1.21.4 pypi_0 pypi openssl 1.1.1l h2bbff1b_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main packaging 21.3 pypi_0 pypi pandas 1.3.4 pypi_0 pypi ...
nbformat 4.3.0 py36_0 networkx 1.11 py36_0 nltk 3.2.3 py36_0 nose 1.3.7 py36_1 notebook 5.0.0 py36_0 numba 0.33.0 np112py36_0 numexpr 2.6.2 np112py36_0 numpy 1.12.1 py36_0 numpydoc 0.6.0 py36_0 odo 0.5.0 py36_1 ...
conda的前两个要点实际上是使许多软件包比pip更具优势。 由于pip是从源代码安装的，所以如果你无法编译源代码，那么安装它可能会很痛苦（这在Windows上尤其如此，但如果软件包有一些困难的C或FORTRAN库，甚至在Linux上也是如此）依赖）。 Conda从二进制文件安装，这意味着有人（例如Continuum）已经完成了编译软件包的...
[intel] intel nbformat 4.4.0 py36_intel_0 [intel] intel networkx 2.0 <pip> nose 1.3.7 py36_intel_16 [intel] intel notebook 5.0.0 py36_intel_0 [intel] intel numba 0.35.0 py36_intel_0 [intel] intel numexpr 2.6.2 np113py36_intel_5 [intel] intel numpy 1.13.3 py36_intel_6 [...
问即使在conda环境中，JupyterLab也是从基本安装启动的。EN请关闭终端，打开它并切换到Jupyter环境并启动...