SAS and Python Together

A software called saspy helps SAS and Python work together

https://blogs.sas.com/content/sasdummy/2017/04/08/python-to-sas-saspy/

 Python coders can now bring the power of SAS into their Python scripts. The project is SASPy, and it’s available on the SAS Software GitHub. It works with SAS 9.4 and higher, and requires Python 3.x.

SAS/STAT object in SASPy

 

 

 

 

and its available at Github

https://github.com/sassoftware/saspy

A Python interface to MVA SAS

This module allows a python process to connect to SAS 9.4 and run SAS code, generated by the supplied object and methods or explicitly user written, and returns results as text, HTML5 documents (via SAS ODS), or as Pandas Data Frames. It supports running analytics and returning the resulting graphics and result data. It can convert between SAS Data Sets and Pandas Data Frames. It has multiple access methods which allow it to connect to local or remote Linux SAS, IOM SAS on Windows or Linux (Including Grid Manager), and local PC SAS. It can run w/in Jupyter Notebooks, in line mode python or in python batch scripts. It is expected that the user community can and will contribute enhancements.

 

Clearly SAS has made tremendous progress in reaching out to the open source community from releasing the free SAS University Edition to latest products like SAS Viya (https://www.sas.com/en_in/software/viya.html )

With SAS Viya, it’s now possible to integrate all elements needed to
build and deploy analytics – whether they are defined in SAS, written
with other programming languages like Python, Java, R or Lua, or
called from public REST APIs.

https://www.sas.com/content/dam/SAS/en_us/doc/overviewbrochure/sas-viya-108233.pdf

But is too little too late for SAS or is it the other way around for R, with Python usage increasing rapidly and R’s much vaunted libraries ported with ease, much better documentation and enterprise customer support in SAS and Python than in R.

As they say, time will tell? Meanwhile the data science and big data market is booming and there  seems enough for all to share slices of market share

Sentiment Manipulation using fake entities in social media

Some examples of sentiment manipulation are

  1. Reviews (at Amazon for Books and Rotten Tomatoes)- By writing a few bad reviews early on, the fake reviewer can choke sales. This is similar to the fake facebook page to give Bad reviews to Black Panther recently ( see https://www.bleedingcool.com/2018/02/01/black-panther-bad-rotten-tomatoes-reviews/ and http://www.independent.co.uk/arts-entertainment/films/news/black-panther-racism-trolls-fake-news-twitter-race-attacks-whites-assaulted-film-movie-screenings-a8215226.html)
  2. Sustained sentiment manipulation by Twitter tweets and Facebook groups. Since all social media depend on email for authentication and since the email providers rarely share IP address login information with social media networks, this enables trolls to create a few email addresses every hour followed by few social media accounts every hour. Tor and One Touch VPN are examples of IP address masking
  3. Network effects- people tend to infer that social media accounts having larger number of followers or a retweet having larger retweets is credible compared to smaller accounts. This is thus a ripe area for deception

(to be continued-)

Blockchain made less mysterious

Just refer to the diagram

 

 

 

 

Also see https://bitsonblocks.net/2016/07/19/so-you-want-to-use-a-blockchain-for-that/  (this is the best site on the internet for bitcoins and blockchains for learners)

and another diagram/inforgraphic

Python for R Users will be translated in Chinese

I have now written three books in data science out of which two books will now be  translated in Chinese. Thanks for the love, Chinese people.

Respect and hugs.

First book in Chinese is here

https://decisionstats.com/2018/02/06/r-for-business-analytics-available-in-chinese/

Third book available here https://www.amazon.com/Python-Users-Data-Science-Approach/dp/1119126762 will  now translated to Chinese too

We are pleased to report a Global Rights Department license for the following title:

Author:, Ajay Ohri
Title: Python for R Users: A Data Science Approach/1
ISBN/PL: 9781119126768/I

Here are some details of the deal:

Rights Licensed: Translation/Simplified Chinese
Licensee: Beijing Huazhang Graphics & Information Co., Ltd., CHINA

Web-url: www.hzbook.com

Projected Publication/release/offer date: JANUARY 24, 2020.
Customer List Price: 59 RMB