From: gathmann@banks.scar.utoronto.ca (Oliver Gathmann) Subject: PyDAS, Python Data Analysis Servant, version 0.1 Date: Wed, 14 Apr 99 15:51:20 GMT This is to announce the avalability of the first public release of PyDAS, the Python Data Analysis Servant. The package comes with a faunistical data set to play with (DB/Tables.shelf), a fact that has not (yet) found its way into the manual. What follows is the usual extract from the README file: -------------------------------------------------------------- What is PyDAS? PyDAS is a free program for interactive statistical analysis of data written in Python, a free, high-level scripting language. The main features of PyDAS are: * data browsing, editing, and plotting routines based on typed data tables (similar to data frames used in S-Plus) * specialized ordination and permutation procedures for statistical analysis of multivariate data; * a built-in Python console for interactive access of additional user-written data analysis routines; * a standardized set of high-level widgets for straightforward integration of user-written data analysis routines into the Graphical User Interface (GUI). Which platforms does it run on? All the software components used for PyDAS are known to run on Unix, Windows, and Mac systems. However, the current version has only been tested on Linux. Who would want it? * any experienced Python user looking for a convenient, GUI-assisted way of manipulating and plotting table-structured data; * any scientist with unusual statistical data analysis needs and some programming literacy looking for a tool that handles data input/output and that allows efficient integration of self-written data analysis routines; * any teacher in scientific computing looking for a free interactive programming environment that extends a powerful, yet easy to learn language (Python) with a convenient set of data manipulation routines. What is the current status of PyDAS? The current version of PyDAS (0.1) is the first public release and has to be considered as alpha code. Where is it located? The package and documentation are avalable at http://www.scar.utoronto.ca/~gathmann/PyDAS.html ---------------------------------------------------- Feedback very welcome, Oliver F. Oliver Gathmann (gathmann@scar.utoronto.ca) Surface and Groundwater Ecology Research Group University of Toronto phone: (416) - 287 7420 ; fax: (416) - 287 7423 web: http://www.scar.utoronto.ca/~gathmann <P><A HREF="http://www.scar.utoronto.ca/~gathmann/PyDAS.html">PyDAS 0.1</A> - interactive Python statistical Data Analysis Servant. (31-Mar-99) -- ----------- comp.lang.python.announce (moderated) ---------- Article Submission Address: python-announce@python.org Python Language Home Page: http://www.python.org/ Python Quick Help Index: http://www.python.org/Help.html ------------------------------------------------------------