IanCarrasco

#md | DCGAN Generator
#mdi | https://miro.medium.com/max/1400/1*5ALjnfAqwcWbOsledTBXsw.png
class generator(nn.Module):
    # initializers
    def __init__(self, d=128):
        super(generator, self).__init__()
        self.deconv1 = nn.ConvTranspose2d(100, d*8, 4, 1, 0) #md | Deconvolution | sub
        self.deconv1_bn = nn.BatchNorm2d(d*8) #md | Batch Normalization | sub
        self.deconv2 = nn.ConvTranspose2d(d*8, d*4, 4, 2, 1)
        self.deconv2_bn = nn.BatchNorm2d(d*4)

IanCarrasco

#md | Quadratic Functions
#mdi | https://i.ytimg.com/vi/PpwEsHKwmbs/maxresdefault.jpg
x = list(range(-10, 10))
quadratic = x**2

#md | Cubic Functions
cubic = x**3

IanCarrasco

import requests
from bs4 import BeautifulSoup
from PyPDF2 import PdfFileMerger, PdfFileReader
from io import BytesIO


#Parse page with beautiful soup
origin = 'https://web.stanford.edu/class/cs224n/readings/'
page = requests.get(origin)
content = BeautifulSoup(page.text)

IanCarrasco

Coiling loxodromes

Canvas version of this gif from FLRN GIF :

Optimisable, by caching the square roots for example.

A Pen by Bali Balo on CodePen.

IanCarrasco

READ ME - PA1 - Shopping Bags

Question 1

Pick three of the Bag implementations other than Bag0. In 150 words or less, describe the tests that differ across them, and why the implementations produce those different results. You don’t have to talk in detail about all of your tests, just the ones that usefully distinguish three implementations of your choice

• Bag 2
  • Bag 2 utilizes a very straightforward approach *Bag 6 *Bag 10

Question 2

Some of the Bag implementations are buggy – they have clear mistakes in some situations. Others simply differ in behavior. For each implementation, indicate if you think it has a clear bug, and describe the problem, or if it’s simply an implementation choice. Give one sentence for each bag. Note that this requires exercising your own judgment, which we cannot do for you.

IanCarrasco

%matplotlib inline

from matplotlib import pyplot as plt
import numpy as np
import pandas as pd

plt.style.use('fivethirtyeight')

x = np.linspace(0, 10)

IanCarrasco

How to open hyper at current directory.

1.Go to the forked cd_to github repository and download the latest release.(zipped) Download From Github.

2.Within cd_to, open the Hyper folder and drag the cd_to.app file into your Applications folder .

3.Now open up Automator and create a new service. File>New>Service(gear icon).Be sure to save the service with an effective name like "Hyper Terminal at Folder"

IanCarrasco

def fizzBuzz(amt):
    for i in xrange(1,amt):
        if i % 3 == 0 and i % 5 == 0:
            print "fizzbuzz"
        elif i % 3 is 0:
            print "fizz"
        elif i % 5 is 0:
            print "buzz"
        else:
            print i

IanCarrasco

from imdb import IMDb
import json

i = IMDb()

him = i.get_movie('0835010')

i.update(him,'episodes')

him_items = []