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@vmarkovtsev
vmarkovtsev / notebook.ipynb
Created March 10, 2017 10:40
lapjv blog post
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@zshaheen
zshaheen / travis_to_conda.md
Last active May 28, 2021 18:15
How to Setup Automatic Uploads to Anaconda from Travis CI in 15 minutes

How to Setup Automatic Uploads to Anaconda from Travis CI in 15 minutes

TL;DR: Edit .travis.yaml to install Anaconda and to run conda_upload.sh after testing. Edit meta.yaml to take in the environmental variables $VERSION and $CONDA_BLD_PATH. Create conda_upload.sh which sets the needed environmental variables, builds the tar archive, and uploads it to Anaconda. Finally edit some stuff on your Anaconda and Travis CI account so they can talk.

Intro

The following steps will detail how to automatically trigger Anaconda builds and uploads from Travis CI. This will only upload successful builds in the master branch and if there are multiple commits in a single day, it'll only keep the latest one. Both of these settings can easily be changed.

Edit .travis.yaml

First, edit .travis.yml so that it installs Anaconda.

install:
@omsai
omsai / zone_plate.py
Last active March 5, 2021 12:07
Zone Plate python object
"""Generate zone plate to scale for lithography manufacturing.
Example usage:
>>> # Create a 140 mm focal length zone plate for 625nm light where
>>> # the lithographer is accurate to 10160 dpi.
>>> from zone_plate import NormalFZP
>>> zp = NormalFZP(f=140, w=625, thinnest_zone=25.4/10160)
@alexland
alexland / serialize-numpy-array.py
Last active November 28, 2023 07:12
serialize, persist, retrieve, and de-serialize a NumPy array as a binary string (any dimension, any dtype); exemplary use case: a web app calculates some result--eg, from a Machine Learning algorithm, using NumPy and the result is a NumPy array; it is efficient to just return that result to rather than persist the array then retrieve it via query
import time
import numpy as NP
from redis import StrictRedis as redis
# a 2D array to serialize
A = 10 * NP.random.randn(10000).reshape(1000, 10)
# flatten the 2D NumPy array and save it as a binary string
array_dtype = str(A.dtype)
@batok
batok / paramiko_example.py
Created April 10, 2012 16:11
Paramiko example using private key
import paramiko
k = paramiko.RSAKey.from_private_key_file("/Users/whatever/Downloads/mykey.pem")
c = paramiko.SSHClient()
c.set_missing_host_key_policy(paramiko.AutoAddPolicy())
print "connecting"
c.connect( hostname = "www.acme.com", username = "ubuntu", pkey = k )
print "connected"
commands = [ "/home/ubuntu/firstscript.sh", "/home/ubuntu/secondscript.sh" ]
for command in commands:
print "Executing {}".format( command )