This book is about using Python to get jobs done on Windows.This intended to be a practical book focused on tasks. It doesn t aim to teach Python programming, although we do provide a brief tutorial. Instead, it aims to cover:How Python works on Windows The key integration technologies supported by Python on Windows, such as the Win32 extensions, which let you call the Windows API, and the support for COM Examples in many topic areas showing what Python can do and how to put it to work.
自制51編程器
I have build my own programmer. This device can program the AT89C51 and works with it. So it can easily be adapted to programming other devices by itself.
The Atmel Flash devices are ideal for developing, since they can be reprogrammed easy, often and fast. You need only 1 or 2 devices in low cost plastic case for developing. In contrast you need 10 or more high cost windowed devices if you must develop with EPROM devices (e.g. Phillips 87C751).
GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner), which was proposed in 2002 by Parpinelli, Lopes and Freitas.
-PID controller has been extensively
used in the industrial world. But in this controller it is difficult to tune the PID gains.
We apply the genetic algorithm(GA) to tune the PID gains. The GA is an optimization algorithm using the biotic genetics.
The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.
