nfredrik

from datetime import datetime

temp34 = [34, 36, 38, 35, 29, 31]
spec_week = datetime.fromisocalendar(year=datetime.now().year, week=34, day=1)
day_in_month, month = int(spec_week.strftime("%d")), spec_week.strftime("%b").lower()
the_date = [f'{day} {month}' for day in range(day_in_month, day_in_month + len(temp34))]

for the_date, grader in zip(the_date, temp34):
    print(f'{the_date}: {"*" * grader}')

nfredrik

import asyncio
import random
import time


async def worker(name, queue):
    while True:
        # Get a "work item" out of the queue.
        sleep_for = await queue.get()

nfredrik

"""Provides a `DateTimeRange` class, which is used for managing ranges of datetimes."""
import datetime

class DateTimeRange(object):
    """Represents a range of datetimes, with a start and (optionally) an end.
       
       Basically implements most of the methods on a standard sequence data type to provide
       some lovely syntactic sugar. Specifically, you can iterate on this, index it, slice it,
       use the in operator, reverse it, and use it in a boolean context to see if there is any
       time in between the start and end."""

nfredrik

import requests
import logging
import httplib

# Debug logging
httplib.HTTPConnection.debuglevel = 1
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
req_log = logging.getLogger('requests.packages.urllib3')
req_log.setLevel(logging.DEBUG)

nfredrik

from uuid import UUID

def validate_uuid4(uuid_string):

    """
    Validate that a UUID string is in
    fact a valid uuid4.

    Happily, the uuid module does the actual
    checking for us.

nfredrik

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

nfredrik

'''
chunked_server_test.py

Copyright August 3, 2012
Released into the public domain

This implements a chunked server using Python threads and the built-in
BaseHTTPServer module. Enable gzip compression at your own peril - web
browsers seem to have issues, though wget, curl, Python's urllib2, my own
async_http library, and other command-line tools have no problems.

nfredrik

Linser och ris med smak av rökt paprika och fänkål

Det här receptet ger en rejäl laddning av linser och ris som passar bra att servera till tofu, ha i en wrap eller kanske bara till stekta grönsaker. Ursprungsreceptet hittade jag här.

Ingredienser

• 400 gram gröna linser
• 350 gram basmatiris (vitt)
• 1 liter grönsaksbuljong

nfredrik

<!ELEMENT note (to,from,heading,body)>
<!ELEMENT to (#PCDATA)>
<!ELEMENT from (#PCDATA)>
<!ELEMENT heading (#PCDATA)>
<!ELEMENT body (#PCDATA)>

nfredrik

require 'fileutils'

# __FILE__ keyword in ruby
puts "The current ruby file being executed is #{__FILE__}"

# Gets the directory name of the file being executed
current_directory = File.dirname(__FILE__)
puts "The current directory is #{current_directory}"

# expands to reveal the pwd (Present working directory)