Download E-books Open Source For You (September 2014) PDF

Open resource For You
2014-09 (Vol 2 factor 12 )
English | IN | PDF | 108 Pages | 12.05 MB

Developers
26 enhance Python Code through the use of a Profiler
30 realizing the rfile item version (DOM) in Mozilla
35 Experimentingwith extra services in Haskell
40 Introducing AngularJS
45 UseBugzilla toManage Defects in Software
48 AnIntroduction to gadget Drivers within the Linux Kernel
52 CreatingDynamic net Portals utilizing Joomla and WordPress
56 collect a GPIO keep an eye on software and try out It at the Raspberry Pi

ADmin
59 UsePound on RHEL to Balancethe Load on net
63 WhyWe have to deal with Bounced Emails Servers
67 Boostthe functionality of CloudStack with Varnish
74 UseWireshark to become aware of ARP Spoofing
77 MakeYour personal PBX with Asterisk

openGurus
80 Howto Make Your USB Boot with a number of ISOs
86 Contiki OS Connecting Microcontrollers
...

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Worldbank. org/ NASA - http://data. nasa. gov/ www. OpenSourceForU. com | OPEN resource FOR YOU | OCTOBER 2015 | fifty seven Developers find out how to ƒ ƒ ƒ usa executive - http://www. info. gov/ desktop studying - http://bitly. com/bundles/bigmlcom/2 clinical facts collage of Muenster - http://data. unimuenster. de/ ƒ Hilary Mason research-quality - https://bitly. com/ bundles/hmason/1 the opposite direction to get facts units is to generate our personal information units utilizing programming languages. the most important factor this is the choice of an acceptable programming language or device that could fetch dwell information from social media purposes or dwell streaming portals. the standard programming languages aren't powerful in fetching reside streaming information from the net. Python is likely one of the impressive and effective programming languages which can converse with the dwell streaming servers. you should use it to shop the fetched info within the database or dossier process for research and predictions. Let’s flow directly to examine a few real-life circumstances during which Python has been used to fetch reside streaming info. determine 1: Screenshot of timesofindia. com to examine Sensex attributes net scraping utilizing Python scripts Python scripts can be utilized to fetch reside info from the Sensex. this system is named net scraping. determine 1 provides a screenshot of the dwell inventory industry index from timesofindia. com. The usually altering Sensex is fetched utilizing Python and saved in a separate dossier in order that the checklist of each second could be kept. To enforce this, the library of BeautifulSoup is built-in with Python. the subsequent code can be utilized and done on Python. After execution, a brand new dossier named bseindex. out should be created and second-by-second Sensex information should be kept in it. when we flood the dwell facts in a dossier, this information could be simply analysed utilizing information mining algorithms with SciLab, WEKA, R, TANAGRA or the other info mining device. from bs4 import BeautifulSoup import urllib. request from time import sleep from datetime import datetime def getnews(): url = “http://timesofindia. indiatimes. com/business” req = urllib. request. urlopen(url) web page = req. read() scraping = BeautifulSoup(page) cost = scraping. findAll(“span”,attrs={“class”:”red14px”}) [0]. textual content go back fee with open(“bseindex. out”,”w”) as f: for x in range(2,100): sNow = datetime. now(). strftime(“%I:%M:%S%p”) f. write(“{0}, {1} \n “. format(sNow, getnews())) sleep(1) utilizing the same process, YouTube likes could be fetched and analysed utilizing Python code, as follows: fifty eight | OCTOBER 2015 | OPEN resource FOR YOU | www. OpenSourceForU. com determine 2: A screenshot of the Baahubali motion picture trailer from YouTube from bs4 import BeautifulSoup import urllib. request from time import sleep from datetime import datetime def getnews(): url = “ https://www. youtube. com/watch? v=VdafjyFK3ko “ req = urllib. request. urlopen(url) web page = req. read() scraping = BeautifulSoup(page) expense = scraping. findAll(“div”,attrs={“class”:”watch-viewcount”})[0]. textual content go back cost with open(“baahubali. out”,”w”) as f: for x in range(2,100): sNow = datetime.

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