Ajay Ohri

Understanding OAuth 1.0 for #rstats

The lovely lovely diagram at https://developer.linkedin.com/documents/oauth-overview is worth a thousand words and errors.

Very useful if you are trying to coax rCurl to do the job for you.

Credits-Idan Gazit

Also a great slideshare in Japanese (no! Google Translate didnt work on pdf’s and slideshares and scribds (why!!) but still very lucid on using OAuth with R for Twitter.

Why use OAuth- you get 350 calls per hour for authenticated sessions than 150 calls .

I tried but failed using registerTwitterOAuth

There is a real need for a single page where you can go and see which social netowork /website is using what kind of oAuth, which url within that website has your API keys, and the accompanying R Code for the same. Google Plus,LinkedIn, Twitter, Facebook all can be scraped better by OAuth. Something like this-

R OAuth for twitteR from Tor Ozaki

Python with Friends

Wanted to learn Python? Stuck on a desk with no redemption. You have two very lucid options. One is use Google. I mean not the search engine, but their class on learning Python.

The videos are available on Youtube at http://www.youtube.com/user/GoogleDevelopers (starting at http://www.youtube.com/watch?v=tKTZoB2Vjuk&feature=plcp)

http://code.google.com/edu/languages/google-python-class/

The other is new module of Python at code academy. It is truly awesome even if you dont know any programming!

So learn some awesome python today and be an excellent hacker tommorow!

http://www.codecademy.com/tracks/python

New Free Online Book by Rob Hyndman on Forecasting using #Rstats

From the creator of some of the most widely used packages for time series in the R programming language comes a brand new book, and its online!

This time the book is free, will be updated and 7 chapters are ready (to read!)

. If you do forecasting professionally, now is the time to suggest your own use cases to be featured as the book gets ready by end- 2012. The book is intended as a replacement for Makridakis, Wheelwright and Hyndman (Wiley 1998).

http://otexts.com/fpp/

The book is written for three audiences:

(1) people finding themselves doing forecasting in business when they may not have had any formal training in the area;

(2) undergraduate students studying business;

(3) MBA students doing a forecasting elective.

The book is different from other forecasting textbooks in several ways.

It is free and online, making it accessible to a wide audience.

It is continuously updated. You don’t have to wait until the next edition for errors to be removed or new methods to be discussed. We will update the book frequently.

There are dozens of real data examples taken from our own consulting practice. We have worked with hundreds of businesses and organizations helping them with forecasting issues, and this experience has contributed directly to many of the examples given here, as well as guiding our general philosophy of forecasting.

We emphasise graphical methods more than most forecasters. We use graphs to explore the data, analyse the validity of the models fitted and present the forecasting results.

A print version and a downloadable e-version of the book will be available to purchase on Amazon, but not until a few more chapters are written.

(Ajay-Support the open textbook movement!)

If you’ve found this book helpful, please consider helping to fund free, open and online textbooks. (Donations via PayPal.)

Look for yourself at http://otexts.com/fpp/

Little Book of R For Time Series #rstats

I loved this book. Only 75 pages and very lucidly written and available on Github for free. Nice job by Avril Coghlan a.coghlan@ucc.ie

Time series

.Of course My usual suspects for Time Series Readings are –

1) The seminal pdf (2008!!) by a certain Prof Hyndman

Click to access Rtimeseries-ohp.pdf

2) JSS Paper -Automatic Time Series Forecasting: The forecast
Package for R http://www.jstatsoft.org/v27/i03/paper

3) The CRAN View http://cran.r-project.org/web/views/TimeSeries.html

This is cluttered and getting more and more cluttered. Some help on helping recent converts to R, especially in the field of corporate forecasting or time series for business analytics would really help.

Avril does an awesome job with this curiously named ( 😉 ) booklet at http://a-little-book-of-r-for-time-series.readthedocs.org/en/latest/src/timeseries.html

Data Scientists are awesome nerds?

From the Internet,

I have an engineering degree, done many post grad courses in stats, one in comp sci at university (and many off univ), and sometimes hack for a living.I am awesome at being mediocre at all this 😉

Where are you on this Venn Diagram?

Update!

I have been busy-

1) Finally my divorce came through. My advice – dont do it without a pre-nup ! Alimony means all the money.

2) Spending time on Quora after getting bored from LinkedIn, Twitter,Facebook,Google Plus,Tumblr, WordPress

See this answer to-

What are common misconceptions about startups?

1) we will change the world
2) if we get 1% of a billion people market, we will be rich
3) if we have got funding, most of the job is done
4) lets pay ourselves high salaries since we got funded
5) our idea is awesome and cant be copied, improvised, stolen, replicated
6) startups are painless
7) it is a better life than a corporate career
8) long term vision is important than short term cash burn
9) we will never sell out or exit. never
10) its a great idea to make startups with friend

Say hello to me – http://www.quora.com/Ajay-Ohri/answers

3) Writing freelance articles on APIs for Programmable Web

Why write pro? See point 1)

Author: Ajay Ohri

Understanding OAuth 1.0 for #rstats

Python with Friends

New Free Online Book by Rob Hyndman on Forecasting using #Rstats

Contents

Little Book of R For Time Series #rstats

Data Scientists are awesome nerds?

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Contents

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