khdlr

  ax.quiver(x, y, dx, dy,
          scale=1, scale_units='xy', angles='xy')

khdlr

import torch
from torch.optim import *


def check_optimizer(optimizer_type, modify_grad=False):
    testvar = torch.ones([])
    testvar.requires_grad = True

    if optimizer_type is SGD:
        opt = optimizer_type([testvar], 1e-3)

khdlr

import numpy as np

import matplotlib as mpl
import matplotlib.pyplot as plt

import pandas as pd
import seaborn as sns

from IPython.display import display
from IPython import get_ipython

khdlr

#! /usr/bin/env python

class Pipeline(object):
    def __init__(self):
        self.source = None
    
    def __iter__(self):
        return self.generator()
    
    def generator(self):

khdlr

# Copy .iso to usb stick
dd bs=4M if=/*.iso of=/dev/sdx && sync

# Convert .pngs to .gif (imagemagick)
convert -delay 2 -layers OptimizePlus *.png anim.gif

# Rip CD into the current directory
abcde -xpPo vorbis -d /dev/disk/by-id/$drive # Specifying the device seems to result in faster rips