ericmjl

from PIL import Image

def read_img(fname):
    b = Image.open("images/{fname}_b.bmp".format(fname=fname))
    r = Image.open("images/{fname}_r.bmp".format(fname=fname))
    return b, r


def display(fname, epd):
    b, r = read_img(fname)

ericmjl

from PIL import Image
import numpy as np
from pathlib import Path

def open(fname):
    img = Image.open(fname).resize((384, 640))
    return img


def array(img):

ericmjl

name: pymc4-dev
channels:
- defaults
- conda-forge
- ericmjl
dependencies:
- python=3.6
- jupyter
- jupyterlab
- conda

ericmjl

ericmjl

============================= test session starts ==============================
platform darwin -- Python 3.6.7, pytest-4.0.2, py-1.7.0, pluggy-0.8.0
rootdir: /Users/ericmjl/github/software/autograd-sparse, inifile:
collected 3 items / 2 deselected

tests/test_sparse.py F                                                   [100%]

=================================== FAILURES ===================================
_____________________________ test_sparse_dot_grad _____________________________

ericmjl

ericmjl

ericmjl

name: dl-workshop
channels:
- defaults
- conda-forge
- ericmjl
dependencies:
- python=3.7
- jupyter
- jupyterlab
- conda

ericmjl

ericmjl

import datashader as ds
import holoviews as hv
from holoviews.operation.datashader import datashade
hv.extension('bokeh')

def scatter(dim1, dim2):
    def _scatter(data):
        return hv.Scatter(data, kdims=[dim1], vdims=[dim2], extents=(-10, -10, 10, 10))
    return _scatter