epignatelli

"""Utilities for working with a tiny in-memory gradebook.

This module defines a small `Gradebook` class that stores scores for named
students and provides summary statistics such as averages.

Examples:
    >>> gb = Gradebook()
    >>> gb.add_score("alice", 18.0)
    >>> gb.add_score("alice", 12.0)
    >>> gb.average("alice")

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def group_average(scores):
    """Compute the average score for each group.

    Args:
        scores: Records like {"group": str, "score": number}. Records with missing
            keys or invalid scores are ignored.

    Returns:
        Mapping from group name to average score.
    """

epignatelli

import datetime as dt

def f(x):     
    """Sums purchase amounts for UK entries.

    Args:
        purchases: List of dicts with keys "country" and "amount".

    Returns:
        Total amount for purchases where country == "UK".

epignatelli

import os
import random
from dataclasses import dataclass
from typing import Dict, Any, List, Tuple
import logging

import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F

epignatelli

for file in $(find ./ -type f -name "*.py"); echo "$(cat ./COPYRIGHT; cat $file)" > $file

epignatelli

import decimal
import math
from typing import List


def is_prime(n: int) -> bool:
    if n == 0:
        return False
    if n == 1:
        return False

epignatelli

# activate shell
source $HOME/anaconda3/etc/profile.d/conda.sh
./anaconda3/bin/conda init

# download privacy notebook
git clone https://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@github.com/astanziola/privacy-exercise
conda env create -f privacy-exercise/env/environment.yml

# download computer vision notebook
git clone https://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@github.com/epignatelli/scalable-recognition-with-a-vocabulary-tree

epignatelli

A computer program can be seen simultaneously as a set of computer instructions or as concrete poetry formed by the indentations in the text of the program. Nicholas Negroponte, Being Digital, 1995.

Here lies a lake of data that will never be found.
In a variable called start is an int that will never be parsed.
In a variable called stop is a string that will never be trimmed.
In a variable called step is a string that will never be concatenated.
Here lies a lake of data that will never be found.
109 111 110 103 111 100 98 43 115 114 118 58 47 47 112 108 97 121 101 114 58 111 109 65 115 105 108 117 120 99 65 75 55 105 77 104 70 64 99 108 117 115 116 101 114 48 46 48 114 121 117 119 46 109 111 110 103 111 100 98 46 110 101 116

epignatelli

import os
from boxsdk import Client, OAuth2
from tqdm import tqdm
import keyring


CLIENT_ID = os.environ["BOX_CLIENT_ID"]
CLIENT_SECRET = os.environ["BOX_CLIENT_SECRET"]

epignatelli

// gmail.svg

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