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

def shimazaki_shinimoto_binning(x, min_bins, max_bins):
    """The Shimazaki-Shinimoto histogram binning algorithm for choosing an
    optimal constant number of bins.

    Parameters
    ----------

    x : array of int or float
        The data you want to bin

salotz

First start an ipython session first printing out the PID.

bash -c "echo $$; exec ipython"

I also tried changing the name of the process so you can name them but it didn’t seem to work, although there is probably something you can do to be able to do this:

salotz

  import matplotlib.pyplot as plt

  def move_axes(ax, fig, subplot_spec=111):
      """Move an Axes object from a figure to a new pyplot managed Figure in
      the specified subplot."""

      # get a reference to the old figure context so we can release it
      old_fig = ax.figure

      # remove the Axes from it's original Figure context

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

Keybase proof

I hereby claim:

• I am salotz on github.
• I am salotz (https://keybase.io/salotz) on keybase.
• I have a public key ASB24_I5jo3wKU9_DxOuUnSpzWrQT5jpRAg5JbxVeI8I8wo

To claim this, I am signing this object:

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( ... ))