crawles

---
applications:
- name: sentiment-compute
  memory: 2GB
  disk_quota: 2GB
  instances: 1
  path: .
  buildpack: python_buildpack
  command: >
  jupyter-kernelgateway --KernelGatewayApp.port=$PORT

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python-3.5.2

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$ cf push

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$ curl -H "Content-Type: application/json" -X POST -d '{"data":["This app is awesome and in the CLOUD","Steph Curry is a basketball player","i am so mad and angry"]}' sentiment-compute.cfapps.pez.pivotal.io/polarity_compute

[ 0.78031286  0.49108975  0.14809403]

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$ cf scale myApp -i 5

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name: jupyter
dependencies:
- jupyter
- pandas==0.18.1
- python=2.7.11
- pip==8.1.2
- requests
- scikit-learn
- pip:
    - jupyter_kernel_gateway

crawles

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# By default up/down are bound to previous-history
# and next-history respectively. The following does the
# same but gives the extra functionality where if you
# type any text (or more accurately, if there is any text
# between the start of the line and the cursor),
# the subset of the history starting with that text
# is searched (like 4dos for e.g.).
# Note to get rid of a line just Ctrl-C
"\e[B": history-search-forward
"\e[A": history-search-backward

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import threading

def set_interval(func, sec):
    def func_wrapper():
        set_interval(func, sec)
        func()
    t = threading.Timer(sec, func_wrapper)
    t.start()
    return t