rocarvaj

# Merging a pandas groupby result back into DataFrame 
# Ref: http://stackoverflow.com/a/29642002/162264

df['maxval'] = df.groupby(by=['idn']).transform('max')

#Print full dataframe
def print_full(x):
    pd.set_option('display.max_rows', len(x))
    print(x)
    pd.reset_option('display.max_rows')

rocarvaj

# Subplots
fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(15,5))
average_change[['primal', 'primal_dsoff', 'dual', 'dual_dsoff']].plot(ax=axes[0])
axes[0].set_ylim(-0.0, 0.4)
axes[0].axhline(0.0, ls='dashed')
axes[0].xaxis.set_ticks(list(average_change.index))
axes[0].set_title("Improvement of bounds and gap of best clone")
axes[0].set_xlabel("Number of clones (k)")
axes[0].set_ylabel("Average improvement")

rocarvaj

1. Create script my-script.pyx
2. Create setup.py with

from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext

ext_modules = [Extension("hello", ["hello.pyx"])]

rocarvaj

Procesos

1. McDonald's Burger War Salvo; Is 'Made for You' the Way Folks Want to Have It?, The New York Times.
    Artículo acerca de cómo McDonald's cambió su proceso de elaboración de hamburguesas a uno que prioriza la frescura y flexibilidad, llamado "Made for You".
2. The tube at a standstill: why TfL stopped people walking up the escalators, The Guardian. Follow up: The London escalator trial shows how our fear of change defeats logic.
    El Metro de Londres decidió poner a prueba una idea que va en contra de una de las costumbres más arraigadas entre los usuarios de dicho servicio.

Revenue Management

1. [Airline pricing secrets: How carrier

rocarvaj

1. How to allocate resources?
   Suppose you need 16 cores. Here are some use cases:

• you use mpi and do not care about where those cores are distributed: --ntasks=16
• you want to launch 16 independent processes (no communication): --ntasks=16
• you want those cores to spread across distinct nodes: --ntasks=16 and --ntasks-per-node=1 or --ntasks=16 and --nodes=16
• you want those cores to spread across distinct nodes and no interference from other jobs:--ntasks=16 --nodes=16 --exclusive
• you want 16 processes to spread across 8 nodes to have two processes per node: --ntasks=16 --ntasks-per-node=2
• you want 16 processes to stay on the same node: --ntasks=16 --ntasks-per-node=16
• you want one process that can use 16 cores for multithreadingi: --ntasks=1 --cpus-per-task=16

rocarvaj

\documentclass{article}
\pagenumbering{gobble}
\usepackage[a4paper,hmargin={0mm,3mm},vmargin=5mm]{geometry}  
\usepackage{tikz}
\begin{document}
  \begin{tikzpicture}[scale=.5]
    \foreach \x in {0,...,41}
    \foreach \y in {0,...,57}
    {
  \fill[gray!75] (\x,\y) circle (0.06cm);

rocarvaj

#!/usr/bin/perl
use strict;
use warnings;

=head1 NAME

rename - renames multiple files

=head1 SYNOPSIS

rocarvaj

Citing Marcus Smith (maintainer of pip):

If you think the global site is out of date, and want the latest in the user site, then use:

pip install --upgrade --user SomePackage

If the global site is up to date, and you really just want the same thing duplicated in --user, then use:

pip install --ignore-installed --user SomePackage

rocarvaj

Best of read.write.as

read.write.as is a kind of a blogging service but in which most of the posts are anonymous. This gets people to write very deep stuff. It's hard not to start imagining the person on the other side.
Here are some of my favorite posts:

• Hi
• Have you ever wondered how different life would be if you had just changed one decision?
• oral worship and you
• “We have so much in common!”
• this is sad

rocarvaj

Hola, este es un test $$\sum_{i=1}^n$$.