用于omxware rest服务访问数据和文件的python包装器。

omxware的Python项目详细描述


https://travis.ibm.com/GrandChallenge-Almaden/omxware-pypi.svg?token=zra2vLszsZmyB2CQTsas&branch=masterLatest Version

web服务

https://omxware.sl.cloud9.ibm.com:9420/swagger


sdk文档:

https://pages.github.ibm.com/GrandChallenge-Almaden/omxware-pypi/


入门

https://pages.github.ibm.com/GrandChallenge-Almaden/omxware-pypi/build/html/usage.html


help/论坛

http://omx-forums.sl.cloud9.ibm.com


引文

e.g: ^{tt1}$

与Docker一起使用

为了让用户和开发人员更容易开始使用omxware,我们有一个预安装了python和omxware的两个基本docker映像。它还附带了一些python库,如matplotlibnumpy以及其他一些库。

1) Minimal: ^{tt5}$

docker run -it --rm --name omxware -v "$(pwd):/opt/my_work" c0mpiler/alpine-omxware-base:latest ash


2) JupyterLab: ^{tt6}$

docker run -d --name jupyter --restart always -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes \
-v /mnt/storage/jupyter:/home/jovyan/work c0mpiler/jupyter start.sh jupyter lab --LabApp.token=‘omxware’

  • This image has JupyterLab pre-installed and setup with some example OMXWare Jupyter notebooks.
  • Change the mount point ^{tt7}$ to whatever you want on you host machine – so you can share files from your host with this docker image.
  • This image also has some example Jupyter notebooks for you to look at and get started.
  • Once you run the docker image – you can open up ^{tt8}$ in your browser and the pwd is ^{tt9}$.
  • The host-name is that of your host machine you run this docker image on. If you are running it on your laptop, the host-name is either ^{tt10}$ or ^{tt11}$

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