salotz

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

salotz

#!/usr/bin/env python                                           
                                                                
import apscheduler.scheduler                                    
import daemon.runner                                            
import os.path                                                  
import sys                                                      
import time                                                     
                                                                
class Core():                                                   
    def __init__(self):                                         

salotz

Automation for the People

Long ago, the first time I read "The Pragmatic Programmer", I read some advice that really stuck with me.

"Don't Use Manual Procedures".

This in the chapter on Ubiquitous Automation. To summarize, they want you to automate all the things.

The trouble was that I hadn't much of an idea how to actually go

salotz

#!/bin/bash
#
# -----------------------
#
# This is a script that installs docker-ce (Docker Community Edition) on Debian 9
# Inspired by https://gist.github.com/frgomes/a6f889583860f5b330c06c8b46fa0f42
#
# -----------------------

# Pre-requesite

salotz

#!/usr/bin/env python
#-*- coding: utf-8 -*-
# Supporting Python 3 

import sys, os, re

try:    bibtexdb = open(sys.argv[1]).read()
except: print("Error: specify the file to be processed!")

if not os.path.isfile('journalList.txt'):

salotz

#...............................................................................
""" new colormaps from old: stack, truncate builtin cmaps / files / numpy arrays

What's a colormap or cmap in matplotlib ?
Mainly a bar or array of 256 colors, rgb or rgba values 0 .. 1,
used in
    pl.imshow( a 2d numpy array, cmap=cmap, ... )
    pl.colorbar()
Cmaps can be indexed with () like
    cmap( .25 ),  cmap( [0, .25, .5] ),  cmap( np.linspace( ... ))