Reader small image

You're reading from  Python 3 Text Processing with NLTK 3 Cookbook

Product typeBook
Published inAug 2014
Reading LevelBeginner
Publisher
ISBN-139781782167853
Edition1st Edition
Languages
Tools
Right arrow
Author (1)
Jacob Perkins
Jacob Perkins
author image
Jacob Perkins

Jacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has contributed to various open source projects, including NLTK, and created NLTK-Trainer to simplify the process of training NLTK models. For more information, visit https://github.com/japerk/nltk-trainer.
Read more about Jacob Perkins

Right arrow

Parsing dates and times with dateutil


If you need to parse dates and times in Python, there is no better library than dateutil. The parser module can parse datetime strings in many more formats than can be shown here, while the tz module provides everything you need for looking up timezones. When combined, these modules make it quite easy to parse strings into timezone-aware datetime objects.

Getting ready

You can install dateutil using pip or easy_install, that is, sudo pip install dateutil==2.0 or sudo easy_install dateutil==2.0. You need the 2.0 version for Python 3 compatibility. The complete documentation can be found at http://labix.org/python-dateutil.

How to do it...

Let's dive into a few parsing examples:

>>> from dateutil import parser
>>> parser.parse('Thu Sep 25 10:36:28 2010')
datetime.datetime(2010, 9, 25, 10, 36, 28)
>>> parser.parse('Thursday, 25. September 2010 10:36AM')
datetime.datetime(2010, 9, 25, 10, 36)
>>> parser.parse('9/25/2010 10...
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Python 3 Text Processing with NLTK 3 Cookbook
Published in: Aug 2014Publisher: ISBN-13: 9781782167853

Author (1)

author image
Jacob Perkins

Jacob Perkins is the cofounder and CTO of Weotta, a local search company. Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To demonstrate the capabilities of NLTK and natural language processing, he developed http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has contributed to various open source projects, including NLTK, and created NLTK-Trainer to simplify the process of training NLTK models. For more information, visit https://github.com/japerk/nltk-trainer.
Read more about Jacob Perkins