QuantTraderEd

import bs4

html_text_file = "miniarb_research_20180713.html"

f = open(html_text_file, 'r')
html_text = f.read()
f.close()

soup = bs4.BeautifulSoup(html_text)

QuantTraderEd

# -*- coding: utf-8 -*-

import zlib
import base64

file_path = 'c:/python'
filename = 'encoded_text.text'
filename_write = 'write_in.py'

with open(file_path + '/' + filename, 'r') as f:

QuantTraderEd

test_text

QuantTraderEd

# -*- coding: utf-8 -*-

import json


filename = 'pgist.py'

# 1. make content
with open(filename, 'r') as f:
    line_lst = f.readlines()

QuantTraderEd

Demo

QuantTraderEd

#include <boost/python.hpp>
#include <boost/python/stl_iterator.hpp>

#include <vector>
#include <unordered_map>

namespace lymc {

namespace python = boost::python;

QuantTraderEd

SrcSuf = cxx
ObjSuf = o
OutPutOpt = -o

SoSuf = so
#=======================================
R_HOME :=		$(shell R RHOME)
RCPPFLAGS :=	$(shell $(R_HOME)/bin/R CMD config --cppflgs)
RLDFLAGS := 	$(shell $(R_HOME)/bin/R CMD config --ldflags)
RBLAS := 		$(shell $(R_HOME)/bin/R CMD config BLAS_LIBS)

QuantTraderEd

import numpy as np
import time
m1 = np.mat(np.random.rand(2800, 2800))
m2 = np.mat(np.random.rand(2800, 2800))

t = time.time(); m3 = m1 * m2; print time.time() - t

QuantTraderEd

# -*- coding: utf-8 -*-
"""
Created on Tue May 26 11:07:33 2015

@author: assa
"""

import pandas as pd
import sqlite3 as lite

QuantTraderEd

# -*- coding: utf-8 -*-
"""
Created on Thu Apr 30 12:44:08 2015

@author: assa
"""


import numpy as np
import pandas as pd