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Mime Types scripts

Rebex Secure Mail for NET

Rebex Secure Mail for .NET script allows you to send more secure emails.Major features - Supports .NET 1.0, .NET 1.1 and .NET 2.0 - Upload and download to or from RAM. TLS/SSL for SMTP, POP3 and IMAP. S/MIME signatures and encryption. - Free one-year support. - ...
ASP.NET

Penguin Greetings

... feature of most email clients. - Uses MIME multipart HTML formatted email to directly send complete ecards to recipients. - Automated installation procedure, including: the installation of CPAN modules not included in Perl 5.8.0, localization of configuration files, and installation of applications, configuration files, and a default ecard ...

Use email module to bundle current directory

... uses the email module to create a multipart MIME message. ...
Python

Automated File Retrieval

... utility that can download files from many different types of file servers on IRC. Requirements: · X-Chat ...

CoMoblog

... as an email-to-blog gateway that supports rich document types such as HTML and Images.One of the major advantages of CoMoblog's design is that it's 'modular'. The Community can write Modules which any user can install to add extended functionality to their Blog. Modules exist to add Calendar's and RSS to ...

KmPlot

... - precise metric printing - different plot types (functions, parametric, polar) - highly configurable visual settings (plot line, axes, grid) - export to bitmap format (BMP and PNG) and scalable vector graphics (SVG) - save/load complete session in readable xml format - trace mode: cross ...

Treat the Win32 Registry like a Python dict

... It will read and write all win32 registry types, and will de/serialize python objects to registry keys when a string or integer representation is not possible. ...
Python

tvmet

... promotion (for handling Matrices and Vectors of differing types). - works on self defined types such as the std::complex type. - makes no use of exceptions. Therefore you can use it for embedded systems or in Linux kernel ...

NumPy

The fundamental package needed for scientific computing with Python is called NumPy.  This package contains: - a powerful N-dimensional array object - sophisticated (broadcasting) functions - basic linear algebra functions - basic Fourier transforms - sophisticated random number capabilities - tools for integrating Fortran code. Besides ...
Python

Functional dictionary and list types

The purpose of this module is to provide a dictionary and list type that can aid in relational algebra, functional programming, list-oriented programming, and perhaps even code obfuscation. ...
Python

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