Jupyter Notebook is an interactive environment for running code in the browser. It allows you to create interactive documents that contain live code, rich text elements and visualizations. It's also a widely used tool for Data Scientists to make prototypes or demonstrations.
ref:
http://jupyter.org/
Install
$ brew install freetype gcc libffi libpng openssl pkg-config
$ pip install -U
cython
numpy
scipy
matplotlib
bokeh
seaborn
scikit-learn
surprise
gensim
nltk
pandas
jupyter
$ pip install jupyter_contrib_nbextensions &&
jupyter contrib nbextension install --user
# install kernels for Python 2 and 3
$ python2 -m pip install ipykernel &&
python2 -m ipykernel install --user
# list kernels
$ jupyter kernelspec list
# remove kernel
$ jupyter kernelspec uninstall apache_toree_scala
# start your notebook server
$ jupyter notebook
$ jupyter notebook --ip 0.0.0.0 --allow-root --no-browserref:
https://ipython.readthedocs.io/en/latest/install/kernel_install.html
https://jupyter.readthedocs.io/en/latest/running.html#running
https://github.com/ipython-contrib/jupyter_contrib_nbextensions
Or you could just download Anaconda and install it.
https://www.continuum.io/downloads#osx
Configuration
# ~/.ipython/profile_default/ipython_config.py
c = get_config()
c.InteractiveShell.ast_node_interactivity = 'all'
# c.InteractiveShellApp.matplotlib = 'notebook'
c.InteractiveShellApp.matplotlib = 'inline'Usage
Automatic module reload
%load_ext autoreload
%autoreload 2
import your_moduleref:
https://blog.3blades.io/jupyter-notebook-little-known-tricks-b0866a558017
Show media in notebook
# show image
from IPython.display import Image
Image('iris.png')
# show pdf
from IPython.display import IFrame
IFrame('iris.pdf', width='100%', height=700)Django integration with django-extension
$ python manage.py shell_plus --notebookref:
https://stackoverflow.com/questions/35483328/how-do-i-set-up-jupyter-ipython-notebook-for-django