Creating Pages on Google Plus for some languages

So I decided to create Pages on Google Plus for my favorite programming languages.

a programming language that lets you work more quickly and integrate your systems more effectively

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Ajay Ohri

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Ajay Ohri  –
Ajay Ohri shared a Google+ page with you.
Structured Query Language
Leading statistical language since 1960’s especially in sociology and market research
The leading statistical language in the world
The leading statistical language since 1970’s

Python

https://plus.google.com/107930407101060924456/posts

 

These are in accordance with Google’s Policies http://www.google.com/intl/en/+/policy/pagesterm.html  Continue reading “Creating Pages on Google Plus for some languages”

Preview- Google Cloud SQL

From –http://code.google.com/apis/sql/

What is Google Cloud SQL?

Google Cloud SQL is web service that allows you to create, configure, and use relational databases with your App Engine applications. It is a fully-managed service that maintains, manages, and administers your databases, allowing you to focus on your applications and services.

By offering the capabilities of a MySQL database, the service enables you to easily move your data, applications, and services into and out of the cloud. This allows for high data portability and helps in faster time-to-market because you can quickly leverage your existing database (using JDBC and/or DB-API) in your App Engine application.

Here is where you can get an invite to the beta only Google Cloud SQL

Sign up for Limited Preview

Google Cloud SQL is available to a limited number of users. To sign up for the service:

  1. Visit the Google APIs Console. The console opens the All services pane.
  2. Find the SQL Service line in the Services table and click Request access…
  3. Fill out the enrollment form.
  4. Our team will review your enrollment information and respond by email to the address associated with your Google Account.
  5. Follow the link in the email to view the Terms of Service. Please read these carefully before accepting.
  6. Sign up for the google-cloud-sql-announce group to receive important announcements and product news. (NOTE- Members: 384)
and after all that violence and double talk, a walk in the clouds with SQL.
1. There are three kinds of instances in the beta view
2. Wait for the Instance to be created note- the Design of the Interface uptil now is much better than Amazon’s.  
Note you need to have an appspot application from Google Apps and can choose between the Python and Java versions. Quite clearly there is a play for other languages too. I think GO is also supported.
3. You can import your data from your Google Storage bucket
4. I am not that hot at coding or maybe the interface was too pretty. Anyways- the log tells me that import of the text file has failed from Google Storage to Google Cloud SQL 
5. Incidentally the Google Cloud Storage interface is also much better than the Amazon GUI for transferring data- Note I was using the classical statistical dataset Boston Housing Data as the test case. 
6. The SQL prompt is the weakest part of the design process of the Interphase. There is no Query builder and the SELECT FROM WHERE prompt is slightly amusing/ insulting . I mean guys either throw in a fully fledged GUI for query builder similar to the MYSQL Workbench , than create a pretty white command prompt.
7. You can also export your data back to your Google Storage bucket 
These are early days, and I am trying to see if there is a play for some cloud kind of ODBC action between R, Prediction API , and the cloud SQL… so try it out yourself at http://code.google.com/apis/sql/ and see if there is any juice you can build  here.

The Amazing Microsoft Robotics

Amazing stuff from the makers of Kinetic-

Operating systems of Robots may be the future cash cow of Microsoft , while the pirates of Silicon Valley fight fascinating cloudy wars! 🙂

http://www.microsoft.com/robotics/#Product

 

Product Information

Microsoft Robotics Developer Studio 4 beta (RDS4 beta) provides a wide range of support to help make it easy to develop robot applications. RDS4 beta includes a programming model that helps make it easy to develop asynchronous, state-driven applications. RDS4 beta provides a common programming framework that can be applied to support a wide variety of robots, enabling code and skill transfer.

RDS4 beta includes a lightweight asynchronous services-oriented runtime, a set of visual authoring and simulation tools, as well as templates, tutorials, and sample code to help you get started.

Microsoft Robotics Developer Studio 4 beta Datasheet – English (PDF Format)

Product VideoView the product video on Channel 9!

This release has extensive support for the Kinect sensor hardware throug the Kinect for Windows SDK allowing developers to create Kinect-enabled robots in the Visual Simulation Environment and in real life. Along with this release comes a standardized reference spec for building a Kinect-based robot.

See how Microsoft Robotics Developer Studio 4 beta is being used to bring ideas to life in the Microsoft Robotics@Home competition.

Lightweight Asynchronous ServicesOriented Runtime

Lightweight Asynchronous ServicesOriented Runtime

Concurrency and Coordination Runtime (CCR) helps make it easier to handle asynchronous input and output by eliminating the conventional complexities of manual threading, locks, and semaphores. Lightweight state-oriented Decentralized Software Services (DSS) framework enables you to create program modules that can interoperate on a robot and connected PCs by using a relatively simple, open protocol.

Visual Programming Language (VPL)

Visual Programming Language

Visual Programming Language (VPL) provides a relatively simple drag-and-drop visual programming language tool that helps make it easy to create robotics applications. VPL also provides the ability to take a collection of connected blocks and reuse them as a single block elsewhere in your program. VPL is also capable of generating human-readable C#.

DSS Manifest Editor

DSS Manifest Editor

DSS Manifest Editor (DSSME) provides a relatively simple creation of application configuration and distribution scenarios.

DSS Log Analyzer

DSS Log Analyzer

The DSS Log Analyzer tool allows you to view message flows across multiple DSS services. DSS Log Analyzer also allows you to inspect message details.

Visual Simulation Environment (VSE)

Visual Simulation Environment

Visual Simulation Environment (VSE) provides the ability to simulate and test robotic applications using a 3D physics-based simulation tool. This allows developers to create robotics applications without the hardware. Sample simulation models and environments enable you to test your application in a variety of 3D virtual environments.

Google Cloud SQL

Another xing bang API from the boyz in Mountain View. (entry by invite only) But it is free and you can test your stuff on a MySQL db =10 GB

Database as a service ? (Maybe)— while Amazon was building fires (and Fire)

—————————————————————–

https://code.google.com/apis/sql/index.html

What is Google Cloud SQL?

Google Cloud SQL is a web service that provides a highly available, fully-managed, hosted SQL storage solution for your App Engine applications.

What are the benefits of using Google Cloud SQL?

You can access a familiar, highly available SQL database from your App Engine applications, without having to worry about provisioning, management, and integration with other Google services.

How much does Google Cloud SQL cost?

We will not be billing for this service in 2011. We will give you at least 30 days’ advance notice before we begin billing in the future. Other services such as Google App Engine, Google Cloud Storage etc. that you use with Google Cloud SQL may have their own payment terms, and you need to pay for them. Please consult their documentation for details.

Currently you are limited to the three instance sizes. What if I need to store more data or need better performance?

In the Limited Preview period, we only have three sizes available. If you have specific needs, we would like to hear from you on our google-cloud-sqldiscussion board.

When is Google Cloud SQL be out of Limited Preview?

We are working hard to make the service generally available.We don’t have a firm date that we can announce right now.

Do you support all the features of MySQL?

In general, Google Cloud SQL supports all the features of MySQL. The following are lists of all the unsupported features and notable differences that Google Cloud SQL has from MySQL.

Unsupported Features:

  • User defined functions
  • MySql replication

Unsupported MySQL statements:

  • LOAD DATA INFILE
  • SELECT ... INTO OUTFILE
  • SELECT ... INTO DUMPFILE
  • INSTALL PLUGIN .. SONAME ...
  • UNINSTALL PLUGIN
  • CREATE FUNCTION ... SONAME ...

Unsupported SQL Functions:

  • LOAD_FILE()

Notable Differences:

  • If you want to import databases with binary data into your Google Cloud SQL instance, you must use the --hex-blob option with mysqldump.Although this is not a required flag when you are using a local MySQL server instance and the MySQL command line, it is required if you want to import any databases with binary data into your Google Cloud SQL instance. For more information, see Importing Data.
How large a database can I use with Google Cloud SQL?
Currently, in this limited preview period, your database instance must be no larger than 10GB.
How can I be notified when there are any changes to Google Cloud SQL?
You can sign up for the sql-announcements forum where we post announcements and news about the Google Cloud SQL.
How can I cancel my Google Cloud SQL account?
To remove all data from your Google Cloud SQL account and disable the service:

  1. Delete all your data. You can remove your tables, databases, and indexes using the drop command. For more information, see SQL DROP statement.
  2. Deactivate the Google Cloud SQL by visiting the Services pane and clicking the On button next to Google Cloud SQL. The button changes from Onto Off.
How do I report a bug, request a feature, or ask a question?
You can report bugs and request a feature on our project page.You can ask a question in our discussion forum.

Getting Started

Can I use languages other than Java or Python?
Only Java and Python are supported for Google Cloud SQL.
Can I use Google Cloud SQL outside of Google App Engine?
The Limited Preview is primarily focused on giving Google App Engine customers the ability to use a familiar relational database environment. Currently, you cannot access Google Cloud SQL from outside Google App Engine.
What database engine are we using in the Google Cloud SQL?
MySql Version 5.1.59
Do I need to install a local version of MySQL to use the Development Server?
Yes.

Managing Your Instances

Do I need to use the Google APIs Console to use Google Cloud SQL?
Yes. For basic tasks like granting access control to applications, creating instances, and deleting instances, you need to use the Google APIs Console.
Can I import or export specific databases?
No, currently it is not possible to export specific databases. You can only export your entire instance.
Do I need a Google Cloud Storage account to import or export my instances?
Yes, you need to sign up for a Google Cloud Storage account or have access to a Google Cloud Storage account to import or export your instances. For more information, see Importing and Exporting Data.
If I delete my instance, can I reuse the instance name?
Yes, but not right away. The instance name is reserved for up to two months before it can be reused.

Tools & Resources

Can I use Django with Google Cloud SQL?
No, currently Google Cloud SQL is not compatible with Django.
What is the best tool to use for interacting with my instance?
There are a variety of tools available for Google Cloud SQL. For executing simple statements, you can use the SQL prompt. For executing more complicated tasks, you might want to use the command line tool. If you want to use a tool with a graphical interface, the SQuirrel SQL Client provides an interface you can use to interact with your instance.

Common Technical Questions

Should I use InnoDB for my tables?
Yes. InnoDB is the default storage engine in MySQL 5.5 and is also the recommended storage engine for Google Cloud SQL. If you do not need any features that require MyISAM, you should use InnoDB. You can convert your existing tables using the following SQL command, replacing tablename with the name of the table to convert:

ALTER tablename ENGINE = InnoDB;

If you have a mysqldump file where all your tables are in MyISAM format, you can convert them by piping the file through a sed script:

mysqldump --databases database_name [-u username -p  password] --hex-blob database_name | sed 's/ENGINE=MyISAM/ENGINE=InnoDB/g' > database_file.sql

Warning: You should not do this if your mysqldump file contains the mysql schema. Those files must remain in MyISAM.

Are there any size or QPS limits?
Yes, the following limits apply to Google Cloud SQL:

Resource Limits from External Requests Limits from Google App Engine
Queries Per Second (QPS) 5 QPS No limit
Maximum Request Size 16 MB
Maximum Response Size 16 MB

Google App Engine Limits

Google App Engine applications are also subject to additional Google App Engine quotas and limits. Requests from Google App Engine applications to Google Cloud SQL are subject to the following time limits:

  • All database requests must finish within the HTTP request timer, around 60 seconds.
  • Offline requests like cron tasks have a time limit of 10 minutes.
  • Backend requests to Google Cloud SQL have a time limit of 10 minutes.

App Engine-specific quotas and access limits are discussed on the Google App Engine Quotas page.

Should I use Google Cloud SQL with my non-High Replication App Engine application?
We recommend that you use Google Cloud SQL with High Replication App Engine applications. While you can use use Google Cloud SQL with applications that do not use high replication, doing so might impact performance.
Source-
https://code.google.com/apis/sql/faq.html#supportmysqlfeatures

PiCloud gives away 20 free compute hours PER month

Announcement from PiCloud- (and this is apart from the 5 hours free that a beginner account gets)

http://www.picloud.com/

 

Starting this month, all users will get 20 c1 core hours worth of credits each and every month.

 

  • If you ran out of your original 5 core hour credits, you can come back and play around some more!
  • If you have minimal computing needs, this means that you can now use PiCloud regularly without even having to enter a credit card.

 

Looking for more? Don’t forget, we’re giving away $500 worth of credits as part of our Academic Research Program. Applications are due this Thursday, October 27th

Google Dart a new programming language for web applications

From Google a new language for structured web applications-

http://www.dartlang.org/docs/technical-overview/index.html ( a rather unstructured website, if I may add)

Dart is a new class-based programming language for creating structured web applications. Developed with the goals of simplicity, efficiency, and scalability, the Dart language combines powerful new language features with familiar language constructs into a clear, readable syntax.

  • structured yet flexible programming language for the web.
  • Make Dart feel familiar and natural to programmers and thus easy to learn.
  • Ensure that all Dart language constructs allow high performance and fast application startup.
  • Make Dart appropriate for the full range of devices on the web—including phones, tablets, laptops, and servers.
  • Provide tools that make Dart run fast across all major modern browsers.

These design goals address the following problems currently facing web developers:

  • Small scripts often evolve into large web applications with no apparent structure—they’re hard to debug and difficult to maintain. In addition, these monolithic apps can’t be split up so that different teams can work on them independently. It’s difficult to be productive when a web application gets large.
  • Scripting languages are popular because their lightweight nature makes it easy to write code quickly. Generally, the contracts with other parts of an application are conveyed in comments rather than in the language structure itself. As a result, it’s difficult for someone other than the author to read and maintain a particular piece of code.
  • With existing languages, the developer is forced to make a choice between static and dynamic languages. Traditional static languages require heavyweight toolchains and a coding style that can feel inflexible and overly constrained.
  • Developers have not been able to create homogeneous systems that encompass both client and server, except for a few cases such as Node.js and Google Web Toolkit (GWT).
  • Different languages and formats entail context switches that are cumbersome and add complexity to the coding process.

Oracle adds R to Big Data Appliance -Use #Rstats

From the press release, Oracle gets on R and me too- NoSQL

http://www.oracle.com/us/corporate/press/512001

The Oracle Big Data Appliance is a new engineered system that includes an open source distribution of Apache™ Hadoop™, Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and an open source distribution of R.

From

http://www.theregister.co.uk/2011/10/03/oracle_big_data_appliance/

the Big Data Appliance also includes the R programming language, a popular open source statistical-analysis tool. This R engine will integrate with 11g R2, so presumably if you want to do statistical analysis on unstructured data stored in and chewed by Hadoop, you will have to move it to Oracle after the chewing has subsided.

This approach to R-Hadoop integration is different from that announced last week between Revolution Analytics, the so-called Red Hat for stats that is extending and commercializing the R language and its engine, and Cloudera, which sells a commercial Hadoop setup called CDH3 and which was one of the early companies to offer support for Hadoop. Both Revolution Analytics and Cloudera now have Oracle as their competitor, which was no doubt no surprise to either.

In any event, the way they do it, the R engine is put on each node in the Hadoop cluster, and those R engines just see the Hadoop data as a native format that they can do analysis on individually. As statisticians do analyses on data sets, the summary data from all the nodes in the Hadoop cluster is sent back to their R workstations; they have no idea that they are using MapReduce on unstructured data.

Oracle did not supply configuration and pricing information for the Big Data Appliance, and also did not say when it would be for sale or shipping to customers

From

http://www.oracle.com/us/corporate/features/feature-oracle-nosql-database-505146.html

A Horizontally Scaled, Key-Value Database for the Enterprise
Oracle NoSQL Database is a commercial grade, general-purpose NoSQL database using a key/value paradigm. It allows you to manage massive quantities of data, cope with changing data formats, and submit simple queries. Complex queries are supported using Hadoop or Oracle Database operating upon Oracle NoSQL Database data.

Oracle NoSQL Database delivers scalable throughput with bounded latency, easy administration, and a simple programming model. It scales horizontally to hundreds of nodes with high availability and transparent load balancing. Customers might choose Oracle NoSQL Database to support Web applications, acquire sensor data, scale authentication services, or support online serves and social media.

and

from

http://siliconangle.com/blog/2011/09/30/oracle-adopting-open-source-r-to-connect-legacy-systems/

Oracle says it will integrate R with its Oracle Database. Other signs from Oracle show the deeper interest in using the statistical framework for integration with Hadoop to potentially speed statistical analysis. This has particular value with analyzing vast amounts of unstructured data, which has overwhelmed organizations, especially over the past year.

and

from

http://www.oracle.com/us/corporate/features/features-oracle-r-enterprise-498732.html

Oracle R Enterprise

Integrates the Open-Source Statistical Environment R with Oracle Database 11g
Oracle R Enterprise allows analysts and statisticians to run existing R applications and use the R client directly against data stored in Oracle Database 11g—vastly increasing scalability, performance and security. The combination of Oracle Database 11g and R delivers an enterprise-ready, deeply integrated environment for advanced analytics. Users can also use analytical sandboxes, where they can analyze data and develop R scripts for deployment while results stay managed inside Oracle Database.