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Speech Recognition may be possible with COM. I found an example of how its done in Python.

Looks like foom is busy. Anyway, here is the verbatim translation of the script foom linked. I can't test it myself as no mike is installed on my machine. If you hear "Starting Succeeded", then, try to say one/two/three. NEED CoHelper.ahk.

SendKeys is a Python module for Windows (R) which can be used to send one or more keystrokes or keystroke combinations to the active window. SendKeys exports 1 function, SendKeys, and 1 exception, KeySe

Change to the top level directory that contains your python source files, and do find -name '*.py' > cscope.files cscope -b

How can I work on VIM for python code such as cscope for C code?

A 'Mathematica Notebook' styled interface to Python from within TeXmacs. Blocks of code can be run independently of their order, and full multiline blocks, i.e. function remain visible and easily modifiable.

6.5.1 Itertool functions The following module functions all construct and return iterators. Some provide streams of infinite length, so they should only be accessed by functions or loops that truncate the stream.

he most popular cryptographic software for Windows is probably TrueCrypt. In this article I will explain how TrueCrypt works and as a by-product a working Python implementation will be provided. This article is written from a programmer perspective and the math will be kept to the minimum. The emphasis is on how TrueCrypt uses cryptographic primitives such as AES and SHA-1, not how the primitives themselves work.

in PyCrypto: >>> key = os.urandom(16) # Generate 16 random bytes (128 bits) >>> bin_to_hex(key) # Show the key in hex (32 characters) '61aa60e43a5e7fdb4b86a4897b52a0dc' >>> y = RFC1751.key_to_english(key) >>> y # Show the pass phrase version of the key 'BUSY BARN RUB DOLE TAUT TOOK ALTO PRY KIT WALL MUG CURT' >>> # The transformation is always reversible >>> bin_to_hex(RFC1751.english_to_key(y)) '61aa60e43a5e7fdb4b86a4897b52a0dc'

Human-Readable Encryption Keys

There are two applications that require using the NumPy array type in C extension modules: Access to numerical libraries: Extension modules can be used to make numerical libraries written in C (or languages linkable to C, such as Fortran) accessible to Python programs. The NumPy array type has the advantage of using the same data layout as arrays in C and Fortran. Mixed-language numerical code: In most numerical applications, only a small part of the total code is CPU time intensive. Only this part should thus be written in C, the rest can be written in Python. NumPy arrays are important for the interface between these two parts, because they provide equally simple access to their contents from Python and from C. This document is a tutorial for using NumPy arrays in C extensions.

What's the relation between these benefits and Stackless's implementation details? Here's a quick sketch: Continuations are the general-purpose concurrency construct. A continuation represents all the future computations of a particular program. Capturing all this control flow in a single conceptual object makes it programmable: It becomes possible to calculate or reason over the control flow. In particular, there's great scope for optimizing assignment of different calculations to different processes or threads or even hosts.

""" a class for generating permutations from an array # choose 2 letters from 'abcd' c = Chooser(['a', 'b', 'c', 'd'], 2) while c.hasMoreElements(): print c.next() """ import time, copy class NoMoreChoices(StandardError): pass class Chooser: