python(一) jupyter 安裝

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.

  </div>