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Pcapy is a Python extension module that interfaces with the libpcap packet capture library . Pcapy enables python scripts to capture packets on the network. Pcapy is highly effective when used in conjunction with a packet-handling package such as Impacket , which is a collection of Python classes for constructing and dissecting network packets. Source code
A library to allow customization of the process title. The library allows a process to change its title (as displayed by system tools such as ps and top ). Changing the title is mostly useful in multi-process systems, for example when a master process is forked: changing the children's title allows to identify the task each process is busy with.
BackgroundCall is the twin brother of recipe "CallQueue". The motto is: 'The programmer controls the program - not reverse' Unlike the Java-ish stiff threading.Thread with .run()/.start()/.isAlive()/.join() and Queue.Queue with .put()/.get()/.task_done()/.join(), BackgroundCall and CallQueue are maybe a more natural high-level "threading" API for the dynamic-typing, functional language Python. In fact one could almost forget about the term "thread", but have "functions" all the way: Threads/deamons return None/never ?
NOTE: This page describes the last release of pydkim from 2008. The latest version is a fork found at dkimpy in Launchpad and is under active development. The pydkim module is a Python module that implements DKIM (DomainKeys Identified Mail) email signing and verification. Download
Impacket is a collection of Python classes focused on providing access to network packets. Impacket allows Python developers to craft and decode network packets in simple and consistent manner. It includes support for low-level protocols such as IP, UDP and TCP, as well as higher-level protocols such as NMB and SMB.
Package Index > python-daemon > 1.5.5 Not Logged In python-daemon 1.5.5 Download python-daemon-1.5.5.tar.gz
Package Index > pIPC > 0.9.8 Not Logged In pIPC 0.9.8 Inter-Process Communication wrapper class
esmre is a Python module that can be used to speed up the execution of a large collection of regular expressions. It works by building a index of compulsory substrings from a collection of regular expressions, which it uses to quickly exclude those expressions which trivially do not match each input. Here is some example code that uses esmre: >>> import esmre >>> index = esmre . Index () >>> index . enter ( r "Major-General\W*$" , "savoy opera" ) >>> index . enter ( r "\bway\W+haye?\b" , "sea shanty" ) >>> index . query ( "I am the very model of a modern Major-General." ) [ 'savoy opera' ] >>> index . query ( "Way, hay up she rises," ) [ 'sea shanty' ] >>>