slarson

from pyvirtualdisplay import Display
xephyr=Display(visible=1, size=(320, 240)).start()

from easyprocess import EasyProcess
from pyvirtualdisplay.smartdisplay import SmartDisplay
with SmartDisplay(visible=0, bgcolor='black') as disp:
    with EasyProcess('gxmessage hello'):
        img = disp.waitgrab()
img.save('screenshot.png')

slarson

3D Cubes - Depth of Field Shader

Testing a little GLSL DOF shader.

A Pen by Stephen Larson on CodePen.

License.

slarson

3D Cubes Study 2 - blur

Experimenting Webgl textures with Threejs

A Pen by Stephen Larson on CodePen.

License.

slarson

https://github.com/openworm/OpenWorm, 
https://github.com/openworm/org.geppetto, 
https://github.com/openworm/PyOpenWorm, 
https://github.com/openworm/open-worm-analysis-toolbox, 
https://github.com/openworm/sibernetic, 
https://github.com/openworm/CElegansNeuroML,
https://github.com/openworm/muscle_model,
https://github.com/openworm/ChannelWorm,
https://github.com/openworm/openworm_docs

slarson

pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> first instance of n_SMBDR
pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> Population SMBVL contains 1 instance(s) of component: GenericCell of type: cell
pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> Setting the default initial concentrations for ca (used in GenericCell) to 0.0 mM (internal), 2.0 mM (external)
pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> first instance of n_SMBVL
pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> Population SMBVR contains 1 instance(s) of component: GenericCell of type: cell
pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> Setting the default initial concentrations for ca (used in GenericCell) to 0.0 mM (internal), 2.0 mM (external)
pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> first instance of n_SMBVR
pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> Population SMDDL contains 1 instance(s) of component: GenericCell of type: cell
pyNeuroML >>>   jNeuroML >>  (INFO) NRN Output >>> Setting the default ini

slarson

slarson

root@2215ccdc7418:/sibernetic# make all
Building file: src/PyramidalSimulation.cpp
Invoking: GCC C++ Compiler
g++ -I/usr/include/python2.7 -Iinc -O3 -Wall -c -fmessage-length=0 -MMD -MP -MF"Release/obj/PyramidalSimulation.d" -MT"Release/obj/PyramidalSimulation.d" -o "Release/obj/PyramidalSimulation.o" "src/PyramidalSimulation.cpp"
Finished building: src/PyramidalSimulation.cpp
 
Building file: src/main.cpp
Invoking: GCC C++ Compiler
g++ -I/usr/include/python2.7 -Iinc -O3 -Wall -c -fmessage-length=0 -MMD -MP -MF"Release/obj/main.d" -MT"Release/obj/main.d" -o "Release/obj/main.o" "src/main.cpp"
src/main.cpp: In function 'int main(int, char**)':

slarson

As [here](http://kartoza.com/how-to-run-a-linux-gui-application-on-osx-using-docker/)

brew install socat
brew cask install xquartz
open -a XQuartz
xhost +

socat TCP-LISTEN:6000,reuseaddr,fork UNIX-CLIENT:\"$DISPLAY\"
# in another window
# run ifconfig and inspect the output. Look for an "inet" address within a "vboxnet" section. this is your IP

slarson

from setuptools import setup, find_packages  # Always prefer setuptools over distutils
from codecs import open  # To use a consistent encoding
from os import path

here = path.abspath(path.dirname(__file__))

# Get the long description from the relevant file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()

slarson

import scipy as sp
import pylab as plt
from scipy.integrate import odeint
from scipy import stats
import scipy.linalg as lin

## Full Hodgkin-Huxley Model (copied from Computational Lab 2)

# Constants
C_m  =   1.0 # membrane capacitance, in uF/cm^2