Free openafs 1.4.0 software for linux

Oggasm is a program that makes converting your mp3 collection into oggs a all but painless process.

Using oggenc and mpg321, with perl glueing it all together, oggasm is able to go through an entire collection, identify id3 tags and then convert those mp3s into oggs while keeping the id3 tags intact.

TODO:

server-client model: When oggasm is started I want it to creat a list of jobs that need to be done and then assign those jobs to various clients that could either be running on the same machine or on other machines connected via a network.

Im of two minds on how to do this. Either I learn how to use sockets and develop my own communication protocol to tell the clients what to do, or I create physical files that are grabed by the client via ftp or samba. Each one has its advantages and disadvantages and I hope to look into it more soon.

One thing that is very important is that a client machines need to be able to come and go as necessary. So oggasm might start with 2 clients, be at 5 later in the day, and then down to 1 when it all finishes.

network functionality: How this will look will rest largly on how the server-client model ends up looking. But most likely the it will involve using ftp or samba to grab files from the server machine, convert them, and then send them back to the server. After that the
client will be assigned a new job.

improvments to user interface: This will be a on going process. As I continue to get more feedback on how people felt their experience with oggasm was I can improve how it the interface looks. Recent changes with 1.3 will allow updates to the interface to be much smother than before.

more encoder/decoder options: certainly oggenc will remain the primary encoder, however other free codecs might come along someday, and it would be nice if oggasm was modular enough to beable to plug in different encoders. I would also like to support different decoders as not everyone has mpg321 (however I will NOT provide support of non-free decoders).

Poster provides a developer tool for interacting with web services and other web resources.

A developer tool for interacting with web services and other web resources that lets you make HTTP requests, set the entity body, and content type. This allows you to interact with web services and inspect the results.

After you install it, just go to View-Sidebar-Poster to open the tool as a sidebar. After that, try a GET or POST on your favorite web service or site.

hideBad is a Firefox extension that hides bad things. Saves all the tabs in the current window, closes them, and replaces them with the homepage tabs. Saved tabs can later be recovered. Can clear the following at the users choice:
- History
- Recently Closed Tabs list
- Saved form info
- Saved passwords
- Download history
- Cookies
- Cache
- Searchbar

tada consists of a python module which is a wrapper module for any DBAPI 2 compatible database module.

It wraps all functions and methods of the origional module and forces the return of deferreds instead.

tada can therefore be considered to be almost DBAPI compatible as it inherits the compatiblity level of the wrapped module, but returns twisted deferreds.

Numarray provides array manipulation and computational capabilities similar to those found in IDL, Matlab, or Octave. Using numarray, it is possible to write many efficient numerical data processing applications directly in Python without using any C, C++ or Fortran code (as well as doing such analysis interactively within Python or PyRAF).
For algorithms that are not well suited for efficient computation using array facilities it is possible to write C functions (and eventually Fortran) that can read and write numarray arrays that can be called from Python.
Numarray is a re-implementation of an older Python array module called Numeric. In general its interface is very similar. It is mostly backward compatible and will be becoming more so in future releases. Numarray offers more capability than Numeric but is still behind Numeric in some areas:
numarray is efficient for large arrays (>20,000 elements) but is slower than Numeric for small arrays by a factor of 2 to 4.
numarray has a smaller selection of addon packages. numarray currently has ports of Numeric packages for linear algebra, random numbers, and fourier transforms. numarray has native packages for convolution and multi-dimensional image processing. Most Numeric extensions (C or Fortran) can be ported to numarray with minimal effort.
numarray is sufficiently developed to be useful for a number of applications, and is being used in the Hubble Space Telescope data processing pipeline (for the Advanced Camera for Surveys) and to develop the Cosmic Origins Spectrograph pipeline. PyFITS is also based on it. Most of STScIs future astronomical data processing applications will be built using its capabilities.
Numarray is being developed as an Open Source project on SourceForge from which the current development source code may be obtained. The Science Software Branch at STScI is leading this development effort.
STScI has settled on the matplotlib plotting package as the recommended 2-d data visualization tool for numarray data. While its support for numarray and Tkinter is now present, we are holding off a bit before recommending its use for all users. If you dont mind possible problems with installation or some holes in functionality it can be used now. We are in the process of improving the installation documentation for use with numarray.
Although matplotlib has its heritage in trying to emulate matlab plotting capabilities from Python, it does not require matlab. Currently the documentation is geared towards those more familiar with matlab, though many users will have no problem generating simple plots with it. It is still undergoing considerable development (by the original author, John Hunter, and with contributions by STScI and others) and we hope to fill the holes in functionality in the coming months. Nevertheless, it is capable of doing many things now.
Enhancements:
ENHANCEMENTS
- Speed improvement for numarray operators. The Python level hook mapping numarray operators onto universal functions has been moved down to C.
- Speed improvement for string-array comparisons, any(), all(). String correlation is ~10x faster.
- Better operation with py2exe to help it automatically detect the core numarray extensions to include in an installer.
- scipy newcore compatible lower case type names (e.g. int32 not Int32)
- scipy newcore dtype keyword and .dtypechar attribute.
BUGS FIXED / CLOSED
- 1323355 Apps fail with import_libnumarray
- 1315212 Infinite loop converting some scalar strings into a list
- 1298916 rank-0 tostring() broken
- 1297948 records.array fails to create empty fields
- 1286291 import sys missing from array_persist.py
- 1286168 Generic sequences in ``strings.array()``
- 1236392 Outdated web link in announcements
- 1235219 LinearAlgebraError not imported in linear_algebra

mpiBLAST is an MPI based parallel implementation of NCBI BLAST. The project consists of a pair of programs that replace formatdb and blastall with versions that execute BLAST jobs in parallel on a cluster of computers with MPI installed. There are two primary advantages to using mpiBLAST versus traditional BLAST.

First, mpiBLAST splits the database across each node in the cluster. Because each nodes segment of the database is smaller it can usually reside in the buffer-cache, yielding a significant speedup due to the elimination of disk I/O. Second, it allows BLAST users to take advantage of efficient, low-cost Beowulf clusters because interprocessor communication demands are low.

mpiBLAST achieves super-linear speedup in situations where the database is too large to fit into RAM, and near linear speedup in other situations. It does not require a dedicated cluster.

NxServLiv allow compressed remote X sessions using NoMachines (X11 based) NX libraries. It is like an SSH terminal, but graphical.

It works on network connection types ranging from modem to LAN, with different compression ratios. It was originally developed for the Spanish distribution LiVux.