duncangh

#  ---------------------------------------------------------------------------
#
#  Description:  This file holds all my BASH configurations and aliases
#
#  Sections:
#  1.   Environment Configuration
#  2.   Make Terminal Better (remapping defaults and adding functionality)
#  3.   File and Folder Management
#  4.   Searching
#  5.   Process Management

duncangh

# https://stackoverflow.com/questions/5008828/convert-a-python-type-object-to-a-string


type_variety_list : list = [
  10, 
  'x', 
  lambda x: x, 
  set(), 
  dict(),
  []

duncangh

mkdir /tmp/picblast; cd ~/Pictures/Photos\ Library.photoslibrary; for i in `find . | grep jpegvideocompl`;do ffmpeg -i $i /tmp/picblast/${i:(-8)}.wav; done; cd /tmp/picblast; ffmpeg -safe 0 -f concat -i <( for f in *.wav; do echo "file '$(pwd)/$f'"; done ) ~/Desktop/picblast.wav; rm -rf /tmp/picblast

duncangh

Recent Emojis

if the implementation is recent emojis, then we could use a deque. The deque will be instantiated with a max length of 30 which is consistent with what Apple uses.

from collections import deque

recent_emojis = deque([], maxlen=30)

def update_recent_emojis(emoji_used, recent_emojis : deque):
    if emoji_used in recent_emojis:
        recent_emojis.remove(emoji_used)

duncangh

var get_numeric_table_value = function(id) {
	let element = document.getElementById(id);
	return Number(element.textContent)
};


let ask = get_numeric_table_value('ask0');
let bid = get_numeric_table_value('bid0');

let avg = (bid + ask) / 2 ;

duncangh

from ftplib import FTP
from datetime import datetime

start = datetime.now()
ftp = FTP('your-ftp-domain-or-ip')
ftp.login('your-username','your-password')

# Get All Files
files = ftp.nlst()

duncangh

var root_tweet;

var tweets = new Array();
var scrollInterval = null;
var lastScrollHeight = 0;


function autoScroll() {
  
  var sh = document.documentElement.scrollHeight;

duncangh

# I'm a one trick pony, but I can do ec2 conns too
import boto3

ec2 = boto3.client('ec2')
instances : list = ec2.describe_instances()['Reservations']

def _make_string_from_instance(instance):
  key_name = instance['KeyName']
  public_dns_name = instance['NetworkInterfaces'][0]['Association']['PublicDnsName']
  

duncangh

def s3_to_pandas(client, bucket, key, header=None):

    # get key using boto3 client
    obj = client.get_object(Bucket=bucket, Key=key)
    gz = gzip.GzipFile(fileobj=obj['Body'])
    
    # load stream directly to DF
    return pd.read_csv(gz, header=header, dtype=str)

def s3_to_pandas_with_processing(client, bucket, key, header=None):

duncangh

import boto3
import pandas as pd
from io import BytesIO

bucket, filename = "bucket_name", "filename.csv"

s3 = boto3.resource('s3')
obj = s3.Object(bucket, filename)
with BytesIO(obj.get()['Body'].read()) as bio:
    df = pd.read_csv(bio)