finloop

import logging
from sys import stdout

# Define logger
logger = logging.getLogger('mylogger')

logger.setLevel(logging.DEBUG) # set logger level
logFormatter = logging.Formatter\
("%(name)-12s %(asctime)s %(levelname)-8s %(filename)s:%(funcName)s %(message)s")
consoleHandler = logging.StreamHandler(stdout) #set streamhandler to stdout

finloop

'downloader/response_count': 2,
 'downloader/response_status_count/200': 2,
 'elapsed_time_seconds': 0.805264,
 'finish_reason': 'finished',
 'finish_time': datetime.datetime(2021, 12, 19, 9, 29, 10, 427176),
 'httpcompression/response_bytes': 62728,
 'httpcompression/response_count': 2,
 'log_count/DEBUG': 3,
 'log_count/INFO': 11,
 'memusage/max': 82173952,

finloop

let
  pkgs = import <nixpkgs> { };
  mach-nix = import (builtins.fetchGit {
    url = "https://github.com/DavHau/mach-nix/";
    ref = "master";
  }) { python = "python38"; };
  customPython = mach-nix.mkPython rec {
    providers._default = "wheel,conda,nixpkgs,sdist";
    requirements = builtins.readFile ./requirements.txt;
  };

finloop

# Generated by Powerlevel10k configuration wizard on 2021-09-24 at 17:27 CEST.
# Based on romkatv/powerlevel10k/config/p10k-lean.zsh, checksum 54401.
# Wizard options: compatible, unicode, lean, 24h time, 2 lines, dotted, left frame,
# light-ornaments, sparse, fluent, transient_prompt, instant_prompt=verbose.
# Type `p10k configure` to generate another config.
#
# Config for Powerlevel10k with lean prompt style. Type `p10k configure` to generate
# your own config based on it.
#
# Tip: Looking for a nice color? Here's a one-liner to print colormap.

finloop

import matplotlib.pylab as plt
from matplotlib import animation

FPS = 12
FRAMES = range(30,90) # iterator for animate function
FILENAME = 'basic_animation.mp4'

# Create fig and axes
fig, ax = plt.subplots(figsize=(20,10))

finloop

import matplotlib.pyplot as plt
from math import ceil


# Parameters for data. I assume data is in df.
cluster_col = "cluster" # Column with clusters
group_by = "customer_city" # Metric to group by "city" etc.
n_first = 4 # Number of most popular entries of `group_by` in cluster to include

finloop

#!/bin/bash
# Convert all .mkv files in directory (recursive) to .mp3
find . -type f -name "*.mkv" -print0 | parallel -0 ffmpeg -i {} -vn -c:a libmp3lame -y {.}.mp3;