eric-wieser

import numpy as np

def _html_repr_helper(contents, index=()):
    dims_left = contents.ndim - len(index)
    if dims_left == 0:
        s = contents[index]
    else:
        s = ''.join(_html_repr_helper(contents, index + (i,)) for i in range(contents.shape[len(index)]))

    return "<div class='numpy-array-ndim-{} numpy-array-ndim-m{}' title='[{}]'>{}</div>".format(

jsomers

Using websockets to easily build GUIs for Python programs

I recently built a small agent-based model using Python and wanted to visualize the model in action. But as much as Python is an ideal tool for scientific computation (numpy, scipy, matplotlib), it's not as good for dynamic visualization (pygame?).

You know what's a very mature and flexible tool for drawing graphics? The DOM! For simple graphics you can use HTML and CSS; for more complicated stuff you can use Canvas, SVG, or WebGL. There are countless frameworks, libraries, and tutorials to help you draw exactly what you need. In my case, this was the animation I wanted:

(Each row represents a "worker" in my model, and each rectangle represents a "task.")

h3r

Installing Cool-Retro-Term on Windows10

First of all, this document is just a recompilation of different resources that already existed on the web previously that I personally tested some ones did work and other not. I liked the idea to make a full guide from start to end so all of you could also enjoy playing with cool-retro-term on windows 10. Personally I installed it on a windows 10 pro version. Fingers crossed!

eyllanesc

from math import ceil

"""from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *"""

from PyQt4.QtCore import *
from PyQt4.QtGui import *

Svidro

Collection of scripts mostly from Pete, but also taken from the forums. Note you can always run a saved classifier using the
runClassifier() command, with the file path included as a string.

TOC

A simple cell classifier.groovy - One way to classify cells.

A simple classifier 2.groovy - Another way.

Annotation Classifications to Name field.groovy - Sets the Name of the annotation to its classification. Useful for applying a second

TysonRayJones

SLURM param sweeper

Get the code here.

This python library generates SLURM submission scripts which launch multiple jobs to 'sweep' a given set of parameters; that is, a job is run for every possible configuration of the params.

For example, you might have a script which accepts parameters a, b and c, which you call (passing a=1, b=2, c=3) like

anttilipp

#
# Hi all,
# this is the Python code I used to make the visualization
# "Temperature anomalies, zonal means, 1900 - 2016"
# (https://twitter.com/anttilip/status/921809347658895361).
# Please be aware that originally I wrote this just to see how this type
# of visualization would work. The code was not ment to be published
# and therefore has only a couple of/no comments and is most likely
# not written in the most optimal way.
#

cyberang3l

https://github.com/aancel/admin/wiki/VirtualGL-on-Ubuntu

https://virtualgl.org/About/Introduction

https://www.turbovnc.org

VirtualGL

When you use ssh with X forwarding, you might have noticed that you cannot execute programs that require 3D acceleration. That's where VirtualGL comes into play.

wshanshan

from PIL import Image, ImageDraw, ImageFont
from colour import Color
import numpy as np

# The function convert an image to ascii art
# f: Input filename
# SC: the horizontal pixel sampling rate. It should be between 0(exclusive) and 1(inclusive). The larger the number, the more details in the output. 
#   If you want the ascii art output be the same size as input, use ~ 1/ font size width. 
# GCF: >0. It's an image tuning factor. If GCF>1, the image will look brighter; if 0<GCF<1, the image will look darker.
# out_f: output filename

anttilipp

#
# Hi all,
# this is the Python code I used to make the visualization "Temperature circle"
# (https://twitter.com/anttilip/status/892318734244884480).
# Please be aware that originally I wrote this for my tests only so the
# code was not ment to be published and is a mess and has no comments.
# Feel free to improve, modify, do whatever you want with it. If you decide
# to use the code, make an improved version of it, or it is useful for you
# in some another way I would be happy to know about it. You can contact me
# for example in Twitter (@anttilip). Unchecked demo data (no quarantees)