Vivek Narayanans blog

Python doesnt have a great reputation for executing concurrent or parallel code because of the global interpreter lock GIL. Only one thread

OVERVIEW

The domain vivekn.com currently has an average traffic classification of zero (the lower the more traffic). We have parsed one page within the website vivekn.com and found zero websites interfacing with vivekn.com. There is one contacts and locations for vivekn.com to help you contact them. The domain vivekn.com has been on the internet for six hundred and eleven weeks, twenty-one days, twenty-two hours, and twenty-one minutes.
Pages Parsed
1
Contacts
1
Addresses
1
Online Since
Oct 2013

VIVEKN.COM TRAFFIC

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VIVEKN.COM HISTORY

The domain vivekn.com was began on on October 07, 2013. This website will expire on the date of October 07, 2015. As of today, it is six hundred and eleven weeks, twenty-one days, twenty-two hours, and twenty-one minutes young.
REGISTERED
October
2013
EXPIRED
October
2015

SPAN

11
YEARS
8
MONTHS
22
DAYS

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WHAT DOES VIVEKN.COM LOOK LIKE?

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CONTACTS

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Vivek Narayanan

Bangalore

Bangalore, Karnataka, 560016

India

VIVEKN.COM SERVER

We identified that a lone root page on vivekn.com took three thousand and fifty-six milliseconds to come up. We could not observe a SSL certificate, so I consider vivekn.com not secure.
Load time
3.056 sec
SSL
NOT SECURE
IP
192.30.252.154

NAME SERVERS

ns63.domaincontrol.com
ns64.domaincontrol.com

WEBSITE ICON

SERVER SOFTWARE

We observed that this domain is employing the GitHub.com operating system.

SITE TITLE

Vivek Narayanans blog

DESCRIPTION

Python doesnt have a great reputation for executing concurrent or parallel code because of the global interpreter lock GIL. Only one thread

PARSED CONTENT

The domain vivekn.com has the following in the web page, "Quick and Dirty Parallelism in Python With tasks." I observed that the webpage also stated " Python doesnt have a great reputation for executing concurrent or parallel code because of the global interpreter lock GIL." They also stated " Only one thread of a process can execute python code at a time. But due to some excellent libraries like multiprocessing and eventlet, it is straightforward to get parallelism on all your sequential functions by just adding a couple of lines of code. Sudo pip install tasks py."

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