python(一) jupyter 安裝
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copy from https://jupyter.org/install
Getting started with JupyterLab
Installation
JupyterLab can be installed using conda
or pip
. For more detailed instructions, consult the installation guide.
conda
If you use conda
, you can install it with:
conda install -c conda-forge jupyterlab
pip
If you use pip
, you can install it with:
pip install jupyterlab
If installing using pip install --user
, you must add the user-level bin
directory to your PATH
environment variable in order to launch jupyter lab
.
Getting started with the classic Jupyter Notebook
Prerequisite: Python
While Jupyter runs code in many programming languages, Python is a requirement (Python 3.3 or greater, or Python 2.7) for installing the JupyterLab or the classic Jupyter Notebook.
Installing Jupyter Notebook using Anaconda
We strongly recommend installing Python and Jupyter using the Anaconda Distribution, which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.
First, download Anaconda. We recommend downloading Anaconda’s latest Python 3 version.
Second, install the version of Anaconda which you downloaded, following the instructions on the download page.
Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):
jupyter notebook
See Running the Notebook for more details.
Installing Jupyter Notebook with pip
As an existing or experienced Python user, you may wish to install Jupyter using Python’s package manager, pip, instead of Anaconda.
If you have Python 3 installed (which is recommended):
python3 -m pip install --upgrade pip
python3 -m pip install jupyter
If you have Python 2 installed:
python -m pip install --upgrade pip
python -m pip install jupyter
Congratulations, you have installed Jupyter Notebook! To run the notebook, run the following command at the Terminal (Mac/Linux) or Command Prompt (Windows):
jupyter notebook
See Running the Notebook for more details.
标签:jupyter,python,Python,Notebook,install,pip,安裝,Jupyter 来源: https://www.cnblogs.com/codeWorldCodeHeart/p/12051282.html