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# A model of computation
for(i in 1:3)
{
  print("To calculate two times two, please enter: 2*2")
  scan(what="char")
  print("Sorry, that's incorrect.")
}

print("To calculate two times two, please enter: 2*2")
scan(what="char")

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The problem

Cocalc exports notebooks to LaTeX using a default provided by nbconvert when File > PDF via LaTeX is clicked in the menu.

I wanted to be able to customize the default LaTeX settings (found at /ext/jupyter/nbconvert/templates/latex), however this contains read-only files on the system. So, I created a local config, but they do not automatically override the system settings. After interpreting the docs, I found how to override the system default.

The recipe

1. First, copy the folder /ext/jupyter/nbconvert/templates/latex to /home/user/.local/share/jupyter/nbconvert/templates/latex.

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# Initialize two signals with arbitrary length
n, m = 5, 7
convolution_length = n+m-1

u = np.random.randint(0, 255, n)
v = np.random.randint(0, 255, m)


# Convolve the two signals
cv = sp.signal.convolve(u, v)

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Overfitting happens in education; it's called specialization.

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So I say to you, walk with the wind, brothers and sisters, and let the spirit of peace and the power of everlasting love be your guide.

John Lewis RIP

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import numpy as np
A = np.eye(20)
A @ A               # `@` is the matrix multiplication operator

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Project Name

A one or two line description.

Features

Enables you to do...

Project Contents

Setup

Requirements

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import base64

# Create a string and encode to bytes
s  = 'Convert me to base64!'
sb = s.encode('utf-8')

# Take bytes and encode to base64 string
sb64 = base64.b64encode(sb).decode()
# Q29udmVydCBtZSB0byBiYXNlNjQh

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def scramble2Decrypt(cipherText):
    halfLength = len(cipherText) // 2
    oddChars = cipherText[:halfLength]
    evenChars = cipherText[halfLength:]
    plainText = ""
    for i in range(halfLength):
        plainText = plainText + evenChars[i]
        plainText = plainText + oddChars[i]
    if len(oddChars) < len(evenChars):
        plainText = plainText + evenChars[-1]

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""" 
Test how to composite matrices with 'where' 
Test generator builds random incrementing matrices
The compositor takes output from this generator and performs the compositing.
Display an image map of the matrices
"""

import numpy as np
from matplotlib import pyplot as pl