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// SPDX-License-Identifier: MIT
// ^ recommended, included machine readable in bytecode metadata
// Software Package Data Exchange is an open standard

pragma solidity ^0.8.7;
// ^ floating pragma, min 0.8.7 max excluding 0.9.0
// same as complex pragma: pragma solidity >=0.8.7 <0.9.0;
// major.breakingchanges.bugfixes
// only makes the compiler check for compatibility and throws error if not matching!
// should only be floating during development, fixed everywhere during testing & deployment

ultrasounder

Introduction

This gist started with a collection of resources I was maintaining on stream data processing — also known as distributed logs, data pipelines, event sourcing, CQRS, and other names.

Over time the set of resources grew quite large and I received some interest in a more guided, opinionated path for learning about stream data processing. So I added the reading list.

Please send me feedback!

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Array

• Two Sum
• Best Time to Buy and Sell Stock
• Contains Duplicate
• Product of Array Except Self
• Maximum Subarray
• Maximum Product Subarray
• Find Minimum in Rotated Sorted Array

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#=======================================================================#
# extract_data.py                                                       #
#=======================================================================#
# usage: extract_data.py [-h] [-i INPUT_DIR] [-o OUTPUT_DIR]
#
# This program extracts provision numbers from a set of documents.
#
# optional arguments:
#  -h, --help            show this help message and exit
#  -i INPUT_DIR, --input_dir INPUT_DIR

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#!/usr/bin/env python

import sys
import csv

def MeanAveragePrecision(valid_filename, attempt_filename, at=10):
    at = int(at)
    valid = dict()
    for line in csv.DictReader(open(valid_filename,'r')):
        valid.setdefault(line['source_node'],set()).update(line['destination_nodes'].split(" "))

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# 17 list comprehension problems in python

fruits = ['mango', 'kiwi', 'strawberry', 'guava', 'pineapple', 'mandarin orange']

numbers = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 17, 19, 23, 256, -8, -4, -2, 5, -9]

# Example for loop solution to add 1 to each number in the list
numbers_plus_one = []
for number in numbers:
    numbers_plus_one.append(number + 1)

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Transforming Code into Beautiful, Idiomatic Python

Notes from Raymond Hettinger's talk at pycon US 2013 video, slides.

The code examples and direct quotes are all from Raymond's talk. I've reproduced them here for my own edification and the hopes that others will find them as handy as I have!

Looping over a range of numbers

for i in [0, 1, 2, 3, 4, 5]:

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def identity(nums):
    """Identity:

    Given a list of numbers, write a list comprehension that produces a copy of the list.

        >>> identity([1, 2, 3, 4, 5])
        [1, 2, 3, 4, 5]

        >>> identity([])
        []

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#!/usr/bin/python
#
#simple app to read string from serial port
#and publish via MQTT
#
#uses the Python MQTT client from the Mosquitto project
#http://mosquitto.org
#
#Andy Piper http://andypiper.co.uk
#2011/09/15