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How to use Bit Torrents

I really liked the software Qbittorent available from http://www.qbittorrent.org/ I think bit torrents should be the default way of sharing huge content especially software downloads. For protecting intellectual property there should be much better codes and software keys than presently available.

The qBittorrent project aims to provide a Free Software alternative to µtorrent. Additionally, qBittorrent runs and provides the same features on all major platforms (Linux, Mac OS X, Windows, OS/2, FreeBSD).

qBittorrent is based on Qt4 toolkit and libtorrent-rasterbar.

qBittorrent v2 Features

  • Polished µTorrent-like User Interface
  • Well-integrated and extensible Search Engine
    • Simultaneous search in most famous BitTorrent search sites
    • Per-category-specific search requests (e.g. Books, Music, Movies)
  • All Bittorrent extensions
    • DHT, Peer Exchange, Full encryption, Magnet/BitComet URIs, …
  • Remote control through a Web user interface
    • Nearly identical to the regular UI, all in Ajax
  • Advanced control over trackers, peers and torrents
    • Torrents queueing and prioritizing
    • Torrent content selection and prioritizing
  • UPnP / NAT-PMP port forwarding support
  • Available in ~25 languages (Unicode support)
  • Torrent creation tool
  • Advanced RSS support with download filters (inc. regex)
  • Bandwidth scheduler
  • IP Filtering (eMule and PeerGuardian compatible)
  • IPv6 compliant
  • Sequential downloading (aka “Download in order”)
  • Available on most platforms: Linux, Mac OS X, Windows, OS/2, FreeBSD
So if you are new to Bit Torrents- here is a brief tutorial
Some terminology from

Tracker

tracker is a server that keeps track of which seeds and peers are in the swarm.

Seed

Seed is used to refer to a peer who has 100% of the data. When a leech obtains 100% of the data, that peer automatically becomes a Seed.

Peer

peer is one instance of a BitTorrent client running on a computer on the Internet to which other clients connect and transfer data.

Leech

leech is a term with two meanings. Primarily leech (or leeches) refer to a peer (or peers) who has a negative effect on the swarm by having a very poor share ratio (downloading much more than they upload, creating a ratio less than 1.0)
1) Download and install the software from  http://www.qbittorrent.org/
2) If you want to search for new files, you can use the nice search features in here
3) If you want to CREATE new bit torrents- go to Tools -Torrent Creator
4) For sharing content- just seed the torrent you just created. What is seeding – hey did you read the terminology in the beginning?
5) Additionally -
From

Trackers: Below are some popular public trackers. They are servers which help peers to communicate.

Here are some good trackers you can use:

 

http://open.tracker.thepiratebay.org/announce

http://www.torrent-downloads.to:2710/announce

http://denis.stalker.h3q.com:6969/announce

udp://denis.stalker.h3q.com:6969/announce

http://www.sumotracker.com/announce

and

Super-seeding

When a file is new, much time can be wasted because the seeding client might send the same file piece to many different peers, while other pieces have not yet been downloaded at all. Some clients, like ABCVuzeBitTornado, TorrentStorm, and µTorrent have a “super-seed” mode, where they try to only send out pieces that have never been sent out before, theoretically making the initial propagation of the file much faster. However the super-seeding becomes less effective and may even reduce performance compared to the normal “rarest first” model in cases where some peers have poor or limited connectivity. This mode is generally used only for a new torrent, or one which must be re-seeded because no other seeds are available.
Note- you use this tutorial and any or all steps at your own risk. I am not legally responsible for any mishaps you get into. Please be responsible while being an efficient bit tor renter. That means respecting individual property rights.

Interview JJ Allaire Founder, RStudio

Here is an interview with JJ Allaire, founder of RStudio. RStudio is the IDE that has overtaken other IDE within the R Community in terms of ease of usage. On the eve of their latest product launch, JJ talks to DecisionStats on RStudio and more.

Ajay-  So what is new in the latest version of RStudio and how exactly is it useful for people?

JJ- The initial release of RStudio as well as the two follow-up releases we did last year were focused on the core elements of using R: editing and running code, getting help, and managing files, history, workspaces, plots, and packages. In the meantime users have also been asking for some bigger features that would improve the overall work-flow of doing analysis with R. In this release (v0.95) we focused on three of these features:

Projects. R developers tend to have several (and often dozens) of working contexts associated with different clients, analyses, data sets, etc. RStudio projects make it easy to keep these contexts well separated (with distinct R sessions, working directories, environments, command histories, and active source documents), switch quickly between project contexts, and even work with multiple projects at once (using multiple running versions of RStudio).

Version Control. The benefits of using version control for collaboration are well known, but we also believe that solo data analysis can achieve significant productivity gains by using version control (this discussion on Stack Overflow talks about why). In this release we introduced integrated support for the two most popular open-source version control systems: Git and Subversion. This includes changelist management, file diffing, and browsing of project history, all right from within RStudio.

Code Navigation. When you look at how programmers work a surprisingly large amount of time is spent simply navigating from one context to another. Modern programming environments for general purpose languages like C++ and Java solve this problem using various forms of code navigation, and in this release we’ve brought these capabilities to R. The two main features here are the ability to type the name of any file or function in your project and go immediately to it; and the ability to navigate to the definition of any function under your cursor (including the definition of functions within packages) using a keystroke (F2) or mouse gesture (Ctrl+Click).

Ajay- What’s the product road map for RStudio? When can we expect the IDE to turn into a full fledged GUI?

JJ- Linus Torvalds has said that “Linux is evolution, not intelligent design.” RStudio tries to operate on a similar principle—the world of statistical computing is too deep, diverse, and ever-changing for any one person or vendor to map out in advance what is most important. So, our internal process is to ship a new release every few months, listen to what people are doing with the product (and hope to do with it), and then start from scratch again making the improvements that are considered most important.

Right now some of the things which seem to be top of mind for users are improved support for authoring and reproducible research, various editor enhancements including code folding, and debugging tools.

What you’ll see is us do in a given release is to work on a combination of frequently requested features, smaller improvements to usability and work-flow, bug fixes, and finally architectural changes required to support current or future feature requirements.

While we do try to base what we work on as closely as possible on direct user-feedback, we also adhere to some core principles concerning the overall philosophy and direction of the product. So for example the answer to the question about the IDE turning into a full-fledged GUI is: never. We believe that textual representations of computations provide fundamental advantages in transparency, reproducibility, collaboration, and re-usability. We believe that writing code is simply the right way to do complex technical work, so we’ll always look for ways to make coding better, faster, and easier rather than try to eliminate coding altogether.

Ajay -Describe your journey in science from a high school student to your present work in R. I noticed you have been very successful in making software products that have been mostly proprietary products or sold to companies.

Why did you get into open source products with RStudio? What are your plans for monetizing RStudio further down the line?

JJ- In high school and college my principal areas of study were Political Science and Economics. I also had a very strong parallel interest in both computing and quantitative analysis. My first job out of college was as a financial analyst at a government agency. The tools I used in that job were SAS and Excel. I had a dim notion that there must be a better way to marry computation and data analysis than those tools, but of course no concept of what this would look like.

From there I went more in the direction of general purpose computing, starting a couple of companies where I worked principally on programming languages and authoring tools for the Web. These companies produced proprietary software, which at the time (between 1995 and 2005) was a workable model because it allowed us to build the revenue required to fund development and to promote and distribute the software to a wider audience.

By 2005 it was however becoming clear that proprietary software would ultimately be overtaken by open source software in nearly all domains. The cost of development had shrunken dramatically thanks to both the availability of high-quality open source languages and tools as well as the scale of global collaboration possible on open source projects. The cost of promoting and distributing software had also collapsed thanks to efficiency of both distribution and information diffusion on the Web.

When I heard about R and learned more about it, I become very excited and inspired by what the project had accomplished. A group of extremely talented and dedicated users had created the software they needed for their work and then shared the fruits of that work with everyone. R was a platform that everyone could rally around because it worked so well, was extensible in all the right ways, and most importantly was free (as in speech) so users could depend upon it as a long-term foundation for their work.

So I started RStudio with the aim of making useful contributions to the R community. We started with building an IDE because it seemed like a first-rate development environment for R that was both powerful and easy to use was an unmet need. Being aware that many other companies had built successful businesses around open-source software, we were also convinced that we could make RStudio available under a free and open-source license (the AGPLv3) while still creating a viable business. At this point RStudio is exclusively focused on creating the best IDE for R that we can. As the core product gets where it needs to be over the next couple of years we’ll then also begin to sell other products and services related to R and RStudio.

About-

http://rstudio.org/docs/about

Jjallaire

JJ Allaire

JJ Allaire is a software engineer and entrepreneur who has created a wide variety of products including ColdFusion,Windows Live WriterLose It!, and RStudio.

From http://en.wikipedia.org/wiki/Joseph_J._Allaire
In 1995 Joseph J. (JJ) Allaire co-founded Allaire Corporation with his brother Jeremy Allaire, creating the web development tool ColdFusion.[1] In March 2001, Allaire was sold to Macromedia where ColdFusion was integrated into the Macromedia MX product line. Macromedia was subsequently acquired by Adobe Systems, which continues to develop and market ColdFusion.
After the sale of his company, Allaire became frustrated at the difficulty of keeping track of research he was doing using Google. To address this problem, he co-founded Onfolio in 2004 with Adam Berrey, former Allaire co-founder and VP of Marketing at Macromedia.
On March 8, 2006, Onfolio was acquired by Microsoft where many of the features of the original product are being incorporated into the Windows Live Toolbar. On August 13, 2006, Microsoft released the public beta of a new desktop blogging client called Windows Live Writer that was created by Allaire’s team at Microsoft.
Starting in 2009, Allaire has been developing a web-based interface to the widely used R technical computing environment. A beta version of RStudio was publicly released on February 28, 2011.
JJ Allaire received his B.A. from Macalester College (St. Paul, MN) in 1991.
RStudio-

RStudio is an integrated development environment (IDE) for R which works with the standard version of R available from CRAN. Like R, RStudio is available under a free software license. RStudio is designed to be as straightforward and intuitive as possible to provide a friendly environment for new and experienced R users alike. RStudio is also a company, and they plan to sell services (support, training, consulting, hosting) related to the open-source software they distribute.

Try JMP for free in steps 1-2-3

Test a 30 day free trial of JMP, the beautiful software with the ugliest website.

In case you have never used JMP, but know the difference between a mean and a mode- take a look.

Step 1 Fill long and badly designed outdated form (note the blue lightening graphics design and font)


Step 2 See uselessly long message, as the website does require registration but it has not done  any oAuth/SM easy registration even though they help sell software in the same campus on social media

Step 3 Wait for 352 mb TO DOWNLOAD without a bit torrent or mirror servers, or even a link for scheduling Download Accelerator-

Note internet connections can be lousy (globally not just in India) to categorize 352 mb of downloads as painful.


And after all the violence and double talk
There’s just a song in all the trouble and the strife

JMP is still the best easiest to use powerful Big Data software with extensions into R and SAS.

High Performance Analytics

Marry Big Data Analytics to High Performance Computing, and you get the buzzword of this season- High Performance Analytics.

It basically consists of Parallelized code to run in parallel on custom hardware, in -database analytics for speed, and cloud computing /high performance computing environments. On an operational level, it consists of software (as in analytics) partnering with software (as in databases, Map reduce, Hadoop) plus some hardware (HP or IBM mostly). It is considered a high margin , highly profitable, business with small number of deals compared to say desktop licenses.

As per HPC Wire- which is a great tool/newsletter to keep updated on HPC , SAS Institute has been busy on this front partnering with EMC Greenplum and TeraData (who also acquired  SAS Partner AsterData to gain a much needed foot in the MR/SQL space) (more…)

What to do if you see a possible GPL violation

GNU Lesser General Public License

Image via Wikipedia

Well I have played with software (mostly but not exclusively) analytical, and I admire the zeal and energy of both open source and closed source practioners- all having relatively decent people executing strategies their investors or owners tell them to do (closed source) or motivated by their own self sense of cool-change the world-openness (open source)

What I dont get is people stealing open source code- repackaging without adding major contributions- claiming patent pending stuff- and basically making money by creating CLOSED source from the open source software-(as open source is yet to break the enterprise glass cieling)

you are either open source or you arent.

bi- sexuality is okay. bi-codability is not.

Next time you see someone stealing some community’s open source code- refer to this excellent link.

 

But, we cannot act on our own if we do not hold copyright. Thus, be sure to find out who the copyright holders of the software are before reporting a violation.

http://www.gnu.org/licenses/gpl-violation.html

Violations of the GNU Licenses

If you think you see a violation of the GNU GPLLGPLAGPL, or FDL, the first thing you should do is double-check the facts:

  • Does the distribution contain a copy of the License?
  • Does it clearly state which software is covered by the License? Does it say anything misleading, perhaps giving the impression that something is covered by the License when in fact it is not?
  • Is source code included in the distribution?
  • Is a written offer for source code included with a distribution of just binaries?
  • Is the available source code complete, or is it designed for linking in other non-free modules?

If there seems to be a real violation, the next thing you need to do is record the details carefully:

  • the precise name of the product
  • the name of the person or organization distributing it
  • email addresses, postal addresses and phone numbers for how to contact the distributor(s)
  • the exact name of the package whose license is violated
  • how the license was violated:
    • Is the copyright notice of the copyright holder included?
    • Is the source code completely missing?
    • Is there a written offer for source that’s incomplete in some way? This could happen if it provides a contact address or network URL that’s somehow incorrect.
    • Is there a copy of the license included in the distribution?
    • Is some of the source available, but not all? If so, what parts are missing?

The more of these details that you have, the easier it is for the copyright holder to pursue the matter.

Once you have collected the details, you should send a precise report to the copyright holder of the packages that are being misused. The copyright holder is the one who is legally authorized to take action to enforce the license.

If the copyright holder is the Free Software Foundation, please send the report to <license-violation@gnu.org>. It’s important that we be able to write back to you to get more information about the violation or product. So, if you use an anonymous remailer, please provide a return path of some sort. If you’d like to encrypt your correspondence, just send a brief mail saying so, and we’ll make appropriate arrangements.

Note that the GPL, and other copyleft licenses, are copyright licenses. This means that only the copyright holders are empowered to act against violations. The FSF acts on all GPL violations reported on FSF copyrighted code, and we offer assistance to any other copyright holder who wishes to do the same.

But, we cannot act on our own if we do not hold copyright. Thus, be sure to find out who the copyright holders of the software are before reporting a violation.

 

Open Source Compiler for SAS language/ GNU -DAP

A Bold GNU Head

Image via Wikipedia

I am still testing this out.

But if you know bit more about make and .compile in Ubuntu check out

http://www.gnu.org/software/dap/

I loved the humorous introduction

Dap is a small statistics and graphics package based on C. Version 3.0 and later of Dap can read SBS programs (based on the utterly famous, industry standard statistics system with similar initials – you know the one I mean)! The user wishing to perform basic statistical analyses is now freed from learning and using C syntax for straightforward tasks, while retaining access to the C-style graphics and statistics features provided by the original implementation. Dap provides core methods of data management, analysis, and graphics that are commonly used in statistical consulting practice (univariate statistics, correlations and regression, ANOVA, categorical data analysis, logistic regression, and nonparametric analyses).

Anyone familiar with the basic syntax of C programs can learn to use the C-style features of Dap quickly and easily from the manual and the examples contained in it; advanced features of C are not necessary, although they are available. (The manual contains a brief introduction to the C syntax needed for Dap.) Because Dap processes files one line at a time, rather than reading entire files into memory, it can be, and has been, used on data sets that have very many lines and/or very many variables.

I wrote Dap to use in my statistical consulting practice because the aforementioned utterly famous, industry standard statistics system is (or at least was) not available on GNU/Linux and costs a bundle every year under a lease arrangement. And now you can run programs written for that system directly on Dap! I was generally happy with that system, except for the graphics, which are all but impossible to use,  but there were a number of clumsy constructs left over from its ancient origins.

http://www.gnu.org/software/dap/#Sample output

  • Unbalanced ANOVA
  • Crossed, nested ANOVA
  • Random model, unbalanced
  • Mixed model, balanced
  • Mixed model, unbalanced
  • Split plot
  • Latin square
  • Missing treatment combinations
  • Linear regression
  • Linear regression, model building
  • Ordinal cross-classification
  • Stratified 2×2 tables
  • Loglinear models
  • Logit  model for linear-by-linear association
  • Logistic regression
  • Copyright © 2001, 2002, 2003, 2004 Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA

    sounds too good to be true- GNU /DAP joins WPS workbench and Dulles Open’s Carolina as the third SAS language compiler (besides the now defunct BASS software) see http://en.wikipedia.org/wiki/SAS_language#Controversy

     

    Also see http://en.wikipedia.org/wiki/DAP_(software)

    Dap was written to be a free replacement for SAS, but users are assumed to have a basic familiarity with the C programming language in order to permit greater flexibility. Unlike R it has been designed to be used on large data sets.

    It has been designed so as to cope with very large data sets; even when the size of the data exceeds the size of the computer’s memory

    Libre Office

    Some ambiguity about Libre Office and why it needed to change from Open Office- just when Open Office seemed so threatening on the desktop

    FROM- http://www.documentfoundation.org/faq/

    Q: So is this a breakaway project?

    A: Not at all. The Document Foundation will continue to be focused on developing, supporting, and promoting the same software, and it’s very much business as usual. We are simply moving to a new and more appropriate organisational model for the next decade – a logical development from Sun’s inspirational launch a decade ago.

    Q: Why are you calling yourselves “The Document Foundation”?

    A: For ten years we have used the same name – “OpenOffice.org” – for both the Community and the software. We’ve decided it removes ambiguity to have a different name for the two, so the Community is now “The Document Foundation”, and the software “LibreOffice”. Note: there are other examples of this usage in the free software community – e.g. the Mozilla Foundation with the Firefox browser.

    Q: Does this mean you intend to develop other pieces of software?

    A: We would like to have that possibility open to us in the future…

    Q: And why are you calling the software “LibreOffice” instead of “OpenOffice.org”?

    A: The OpenOffice.org trademark is owned by Oracle Corporation. Our hope is that Oracle will donate this to the Foundation, along with the other assets it holds in trust for the Community, in due course, once legal etc issues are resolved. However, we need to continue work in the meantime – hence “LibreOffice” (“free office”).

    Q: Why are you building a new web infrastructure?

    A: Since Oracle’s takeover of Sun Microsystems, the Community has been under “notice to quit” from our previous Collabnet infrastructure. With today’s announcement of a Foundation, we now have an entity which can own our emerging new infrastructure.

    Q: What does this announcement mean to other derivatives of OpenOffice.org?

    A: We want The Document Foundation to be open to code contributions from as many people as possible. We are delighted to announce that the enhancements produced by the Go-OOo team will be merged into LibreOffice, effective immediately. We hope that others will follow suit.

    Q: What difference will this make to the commercial products produced by Oracle Corporation, IBM, Novell, Red Flag, etc?

    A: The Document Foundation cannot answer for other bodies. However, there is nothing in the licence arrangements to stop companies continuing to release commercial derivatives of LibreOffice. The new Foundation will also mean companies can contribute funds or resources without worries that they may be helping a commercial competitor.

    Q: What difference will The Document Foundation make to developers?

    A: The Document Foundation sets out deliberately to be as developer friendly as possible. We do not demand that contributors share their copyright with us. People will gain status in our community based on peer evaluation of their contributions – not by who their employer is.

    Q: What difference will The Document Foundation make to users of LibreOffice?

    A: LibreOffice is The Document Foundation’s reason for existence. We do not have and will not have a commercial product which receives preferential treatment. We only have one focus – delivering the best free office suite for our users – LibreOffice.

    —————————————————————————————————-

    Non Microsoft and Non Oracle vendors are indeed going to find it useful the possiblities of bundling a free Libre Office that reduces the total cost of ownership for analytics software. Right now, some of the best free advertising for Microsoft OS and Office is done by enterprise software vendors who create Windows Only Products and enable MS Office integration better than  Open Office integration. This is done citing user demand- but it is a chicken egg dilemma- as functionality leads to enhanced demand. Microsoft on the other hand is aware of this dependence and has made SQL Server and SQL Analytics (besides investing in analytics startups like Revolution Analytics) along with it’s own infrastructure -Azure Cloud Platform/EC2 instances.

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