Sergio Botero sergiobuj

## even_tree.cc
#include <cmath>
#include <cstdio>
#include <vector>
#include <iostream>
#include <algorithm>
#include <set>
#include <map>
#include <queue>
using namespace std;

## solution_for_gs.py
## Tarjan implementation from Wikipedia's pseudocode
def tarjan(graph):
    #input: graph G = (V, E)
    #output: set of strongly connected components (sets of vertices)
    n = len(graph)
    sccs = []
    index = [0]
    indexes = [-1] * n
    lows = [float('Inf')] * n
    S = []

## clusterpysal.ipynb

      
              2 files
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                sergiobuj
                / clusterpysal.ipynb
            
            
              Last active
              August 29, 2015 14:02
            
              
                What if we could use [the amazing] Clusterpy on top of Pysal?
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## README.md

      
              2 files
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                sergiobuj
                / README.md
            
            
              Last active
              August 29, 2015 14:01
            
              
                Working vagrant base box with python dev tools included.
              
          
    Create custom Vagrant base boxes

About ipyvmbase:


Debian 7.5
build-essentials and git
ipython notebook
numpy
scipy
matplotlib
pandas


## 0_loading_shapes_with_clusterpy.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                sergiobuj
                / 0_loading_shapes_with_clusterpy.ipynb
            
            
              Last active
              August 29, 2015 13:56
            
              
                Clusterpy usage: 0 Loading and exploring shapes (http://nbviewer.ipython.org/gist/sergiobuj/9159111)
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## gist:8962775
{
 "metadata": {
  "name": "clusterpy loves matplotlib"
 },
 "nbformat": 2,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",

## tour71.golang.go
package main

import (
	"fmt"
	"time"
)

type Fetcher interface {
	// Fetch returns the body of URL and
	// a slice of URLs found on that page.

## 0_data.csv

          
            Week
            cat
            dog
            fish

            
              2012-01-01 - 2012-01-07
              56
              92
              59

            
              2012-01-08 - 2012-01-14
              59
              91
              56

            
              2012-01-15 - 2012-01-21
              55
              91
              56

            
              2012-01-22 - 2012-01-28
              56
              89
              54

            
              2012-01-29 - 2012-02-04
              58
              89
              55

            
              2012-02-05 - 2012-02-11
              60
              94
              54

            
              2012-02-12 - 2012-02-18
              56
              98
              54

            
              2012-02-19 - 2012-02-25
              58
              91
              58

            
              2012-02-26 - 2012-03-03
              59
              85
              54

## Radar-Chart How-to
## How to Use:

from radar import radar_graph

labels = ['v1', 'v2', 'v3', 'v4', 'v5', 'v6', 'v7', 'v8', 'v9']
values = [1, 1, 2, 7, 4, 0, 3, 10, 6]
optimum = [5, 3, 2, 4, 5, 7, 5, 8, 5]

radar_graph(labels, values, optimum)

## fast_clusterpy.condor
# RiSE Group - Sergio B
# Condor description file

Notify_user	=	condorjobs@sbuj.co

Universe	=	vanilla
Executable	=	/opt/python/bin/python2.7
Arguments	=	performance_script.py

Log		=	log/fast_performance.log.$(Cluster)
	#include <cmath>
	#include <cstdio>
	#include <vector>
	#include <iostream>
	#include <algorithm>
	#include <set>
	#include <map>
	#include <queue>
	using namespace std;
	## Tarjan implementation from Wikipedia's pseudocode
	def tarjan(graph):
	#input: graph G = (V, E)
	#output: set of strongly connected components (sets of vertices)
	n = len(graph)
	sccs = []
	index = [0]
	indexes = [-1] * n
	lows = [float('Inf')] * n
	S = []
	{
	"metadata": {
	"name": "clusterpy loves matplotlib"
	},
	"nbformat": 2,
	"worksheets": [
	{
	"cells": [
	{
	"cell_type": "code",
	package main

	import (
	"fmt"
	"time"
	)

	type Fetcher interface {
	// Fetch returns the body of URL and
	// a slice of URLs found on that page.
Week	cat	dog	fish
2012-01-01 - 2012-01-07	56	92	59
2012-01-08 - 2012-01-14	59	91	56
2012-01-15 - 2012-01-21	55	91	56
2012-01-22 - 2012-01-28	56	89	54
2012-01-29 - 2012-02-04	58	89	55
2012-02-05 - 2012-02-11	60	94	54
2012-02-12 - 2012-02-18	56	98	54
2012-02-19 - 2012-02-25	58	91	58
2012-02-26 - 2012-03-03	59	85	54
	## How to Use:

	from radar import radar_graph

	labels = ['v1', 'v2', 'v3', 'v4', 'v5', 'v6', 'v7', 'v8', 'v9']
	values = [1, 1, 2, 7, 4, 0, 3, 10, 6]
	optimum = [5, 3, 2, 4, 5, 7, 5, 8, 5]

	radar_graph(labels, values, optimum)
	# RiSE Group - Sergio B
	# Condor description file

	Notify_user = condorjobs@sbuj.co

	Universe = vanilla
	Executable = /opt/python/bin/python2.7
	Arguments = performance_script.py

	Log = log/fast_performance.log.$(Cluster)