ANN: A new version of the Python module which wraps GnuPG has been released.
A new version of the Python module which wraps GnuPG has been
released.
What Does It Do?
The gnupg module allows Python programs to make use of the
functionality provided by the Gnu Privacy Guard (abbreviated GPG or
GnuPG). Using this module, Python programs can encrypt and decrypt
data, digitally sign documents and verify digital signatures, manage
(generate, list and delete) encryption keys, using proven Public Key
Infrastructure (PKI) encryption technology based on OpenPGP.
This module is expected to be used with Python versions = 2.4, as it
makes use of the subprocess module which appeared in that version of
Python. Development and testing has been carried out on Windows and
Ubuntu. This module is a newer version derived from earlier work by
Andrew Kuchling, Richard Jones and Steve Traugott.
A test suite using unittest is included with the source distribution.
Simple usage:
import gnupg
gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')
gpg.list_keys()
[{
...
'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2',
'keyid': '197D5DAC68F1AAB2',
'length': '1024',
'type': 'pub',
'uids': ['', 'Gary Gross (A test user) gary.gr...@gamma.com']},
{
...
'fingerprint': '37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A',
'keyid': '0C5FEFA7A921FC4A',
'length': '1024',
...
'uids': ['', 'Danny Davis (A test user) danny.da...@delta.com']}]
encrypted = gpg.encrypt(Hello, world!, ['0C5FEFA7A921FC4A'])
str(encrypted)
'-BEGIN PGP MESSAGE-\nVersion: GnuPG v1.4.9 (GNU/Linux)\n
\nhQIOA/6NHMDTXUwcEAf
...
-END PGP MESSAGE-\n'
decrypted = gpg.decrypt(str(encrypted), passphrase='secret')
str(decrypted)
'Hello, world!'
signed = gpg.sign(Goodbye, world!, passphrase='secret')
verified = verified = gpg.verify(str(signed))
print Verified if verified else Not verified
'Verified'
For more information, visit http://code.google.com/p/python-gnupg/ -
as always, your feedback is most welcome (especially bug reports,
patches and suggestions for improvement). Enjoy!
Cheers
Vinay Sajip
Red Dove Consultants Ltd.
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python-graph-1.6.1 released
python-graph release 1.6.1 http://code.google.com/p/python-graph/ python-graph is a library for working with graphs in Python. This software provides a suitable data structure for representing graphs and a whole set of important algorithms. The code is appropriately documented and API reference is generated automatically by epydoc. Provided features and algorithms: * Support for directed, undirected, weighted and non-weighted graphs * Support for hypergraphs * Canonical operations * XML import and export * DOT-Language output (for usage with Graphviz) * Random graph generation * Accessibility (transitive closure) * Breadth-first search * Critical path algorithm * Cut-vertex and cut-edge identification * Depth-first search * Heuristic search (A* algorithm) * Identification of connected components * Minimum spanning tree (Prim's algorithm) * Mutual-accessibility (strongly connected components) * Shortest path search (Dijkstra's algorithm) * Topological sorting * Transitive edge identification The 1.6.x series is our refactoring series. Along the next releases, we'll change the API so we can better prepare the codebase to new features. If you want a softer, directed transition, upgrade your code to every release in the 1.6.x series. On the other hand, if you'd rather fix everything at once, you can wait for 1.7.0. Download: http://code.google.com/p/python-graph/downloads/list (tar.bz2, zip and egg packages are available.) Installing: If you have easy_install on your system, you can simply run: # easy_install python-graph -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
Pyowa is this Monday!
Hi, The next Pyowa meeting is on Monday, July 6th from 7-9 p.m. We will be at the Marshall County Sheriff's Office (directions on website). Currently, the plan is to have a talk about Python at Fisher/Emerson that will segue into a general discussion of what we do with our favorite programming language. Be prepared to share! We may have another presentation in our Standard Library series as well. Let me know if you think you'll be there. Pop water will be provided. We hope to see you there! -- Mike Driscoll http://www.pyowa.org http://pyowa.blip.tv/ http://twitter.com/pyowa http://upcoming.yahoo.com/event/2853430/ Mailing list: http://pyowalist.pythonlibrary.org/listinfo.cgi/pyowa-pythonlibrary.org -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
