Skip to content. | Skip to navigation

Personal tools

Navigation

You are here: Home / Tutorial / Anaconda

Anaconda

安裝 管理 昇級

Anaconda 有幾種不同的應用場合或意義: anaconda.com Platform; anaconda.org Cloud; Channel; mini-conda Environment vs Channel

$ conda update -n base conda
$ conda create --name kotti_py364 python=3.6.4

#
# To activate this environment, use:
# > source activate kotti_py364
#
# To deactivate an active environment, use:
# > source deactivate
#
$ conda info --envs
# conda environments:
#
root       * C:\Users\marr\Anaconda

$ conda install -c conda-forge --name root selenium

install pip virtualenv:

$ conda create --name myapp_27 python=2.7 flask sqlalchemy
$ conda env list
$ source activate myapp_27
$ source deactivate

virtualenv for beginner Managing Channels Intel Distribution for Python

Jupyter Notebook Ubuntu Install

How a Notebook is Changing Science: image video Magic Bash: 50:44-59:59 Install a Second Kernel: 1:55:00-1:58:00 JupyterHub with Kubernates: 2:45:00-3:19:00 One Button Workflow nbflow: 3:26-12:50

Cell Magic Extensions Jupyter Public Server Jupyter BinderHub

$ sudo apt-get install python-dev build-essentials
$ sudo pip install --upgrade jupyter
$ jupyter notebook --no-browser
$ jupyter notebook --no-browser --ip=*

Jupyter Protocol Notebook as Document: from Structure to Application

Tips for Data Science Extensions - Diagram Editor: Draw.io ShareLaTeX

Renders and Render Extensions

Datalab

Colaboratory Get Ready with Jupyter Notebooks Against Large Datasets