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This program implements the Eudora password changing protocol. This protocol allows remote users to change their password and is supported by mail clients such as Eudora, NuPOP and a variety of webmail systems. poppwd supports PAM and so can be used against almost any password database, including local password files, LDAP or SQL databases.

This module implements various functions needed for making a ZConf backed mail cleint. It also currently includes two small utilities, listed below. zcgetmail - A getmail replacement using ZConf::Mail. zcmailaccount - Manages the accounts.

Prayer is yet another Webmail interface for IMAP servers on Unix systems. It exists because we weren't terribly happy about the characteristics of existing Webmail interfaces: in particular scalability problems with common open source Webmail packages and the lack of flexibility that commercial packages would give us. This doesn't mean that Prayer is trying to compete with existing Webmail packages. It just means that Prayer is better suited to our particular environment.

xmail is an X-based interface to the Berkeley mail program. This version of xmail depends heavily upon the installation of the application default resources file for the proper declaration of features and enhancements documented in the man pages. If the defaults file or the resource declarations are not installed or in some manner made accessable to the X11 resource database manager, xmail will operate in only a minimal fashion. This version of xmail includes support for decompressing and displaying the content of an X-Face mail header, if such a header exists in the message being read. This feature is a compile time option, and requires the existence of the compface library routines, which are NOT supplied with the xmail sources. X-Face headers are compressed bitmap images, typically of the face of the person owning such a header. The compressed header contains only printable characters, which allows it to be included in a mail message.

A secure, effective and simple way of getting mail off a system to your mail hub. It does not include a mail spool to poke around in, and no daemons running in the background. Mail is simply forwarded to the configured mailhost. Extremely easy configuration. WARNING: the above is all it does; it does not receive mail, expand aliases or manage a queue. That belongs on a mail hub with a system administrator.

Bottleneck is a collection of fast NumPy array functions written in Cython.

matplotlib is a python 2D plotting library which produces publication quality figures using in a variety of hardcopy formats (PNG, JPG, PS, SVG) and interactive GUI environments (WX, GTK, Tkinter) across platforms. matplotlib can be used in python scripts, interactively from the python shell (ala matlab or mathematica), in web application servers generating dynamic charts, or embedded in GTK, Tk or WX applications; see backends.

Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. Patsy brings the convenience of R "formulas" to Python.

Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models. Main Features: * linear regression models: GLS (including WLS and LS aith AR errors) and OLS. * glm: Generalized linear models with support for all of the one-parameter exponential family distributions. * discrete: regression with discrete dependent variables, including Logit, Probit, MNLogit, Poisson, based on maximum likelihood estimators * rlm: Robust linear models with support for several M-estimators. * tsa: models for time series analysis - univariate: AR, ARIMA; multivariate: VAR and structural VAR * nonparametric: (Univariate) kernel density estimators * datasets: Datasets to be distributed and used for examples and in testing. * stats: a wide range of statistical tests, diagnostics and specification tests * iolib: Tools for reading Stata .dta files into numpy arrays, printing table output to ascii, latex, and html * miscellaneous models * sandbox: statsmodels contains a sandbox folder with code in various stages of * developement and testing which is not considered "production ready", including Mixed models, GARCH and GMM estimators, kernel regression, panel data models.