gyfis

from pdfrw import PdfReader, PdfWriter, PdfObject


def main():
    thesis = PdfReader('thesis.pdf')

    for i, _ in enumerate(thesis.pages):
        try:
            im_keys = thesis.pages[i].Resources.XObject.keys()

gyfis

import numpy as np


def split_price(split, warehouse_prices, warehouse_min_price, freight_cost):
    price_per_warehouse = list(map(lambda row: sum(row[0] * row[1]), zip(warehouse_prices, split)))
    price = sum(price_per_warehouse)
    for warehouse_id, warehouse_price in enumerate(price_per_warehouse):
        if 0 < warehouse_price < warehouse_min_price[warehouse_id]:
            price += freight_cost
    return price

gyfis

// hello_world/api.js
exports.lambdaHandler = async (event, context) => {
  return {
    'statusCode': 200,
    'body': JSON.stringify(event)
  }
};

// 127.0.0.1:3000/test/users/3/file/Desktop%2Fphotos%2Fcat.png
// output ->  local_response.json

gyfis

One of the many reasons I love working with Ruby is it has a rich vocabulary that allows you to accomplish your goals with a minimal amount of code. If there isn't a method that does exactly what you want, it's usually possible to build an elegant solution yourself.

Let's take the example of simulating the rolling of a die.

We can represent a die as an array of its faces.

die = [*?⚀..?⚅]
# => ["⚀", "⚁", "⚂", "⚃", "⚄", "⚅"]