编程python用什么笔记本好,python程序员用什么软件

大家好，本文将围绕python程序员用什么笔记本好一点展开说明，python程序员用什么笔记本好点是一个很多人都想弄明白的事情，想搞清楚python编程用什么笔记本电脑需要先了解以下几个事情。

I am running a program that does simple data processing:

parses text

populates dictionaries

calculates some functions over the resulting data

The program only uses CPU, RAM, and HDD:

run from Windows command line

input/output to the local hard drive

nothing displayed on or printed to screen

no networking

The same program is run on:

desktop: Windows 7, i7-930 CPU overclocked @3.6 GHz (with matching memory speed), Intel X-25M SSD

laptop: Windows XP, Intel Core2 Duo T9300 @2.5GHz, 7200 rpm HDD

The CPU is 1.44 faster frequency, HDD is 4 times higher benchmark score (Passmark - Disk Mark). I found the program runs just around 1.66 times faster on the desktop. So apparently, the CPU is the bottleneck.

It seems there's only 15% benefit from the i7 Core vs Intel Core2 Duo architecture (most of the performance boost is due to the straight CPU frequency). Is there anything I can do in the code to increase the benefit of the new architecture?

EDIT: forgot to mention that I use ActivePython 3.1.2 if that matters.

解决方案

The increasing performance of hardware brings in most cases automatically results in benefit to user applications. The much maligned "GIL" means that you may not be able to take advantage of multicores with CPython unless you design your program to take advantage via various multiprocessing modules / libraries.

A related collation of solutions on python wiki: http://wiki.python.org/moin/ParallelProcessing