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Stats: 1,663,168 members, 3,114,742 topics. Date: Thursday, 29 September 2016 at 09:32 PM
|Useful Python Libraries by ektbear: 8:53pm On Dec 21, 2012|
Maintaining a list of useful Python libraries here.
1. Numpy/Scipy (scientific programming)
2. Pandas (working with csv data files)
|Re: Useful Python Libraries by Nobody: 8:19am On Dec 22, 2012|
wmi (for managing windows OS)
Matplotlib (plotting simple to advanced graphs)
|Re: Useful Python Libraries by ektbear: 5:01am On Feb 18, 2013|
scikit-learn for machine learning
|Re: Useful Python Libraries by WhiZTiM(m): 5:51am On Feb 18, 2013|
PIL - Python Image Library
Mutagen - advanced multimedia tagging system, including ID3v2, ID3v1
|Re: Useful Python Libraries by AZeD1(m): 12:12am On Feb 19, 2013|
pygame for game development.
|Re: Useful Python Libraries by ektbear: 9:11am On Mar 19, 2013|
- Pip: python package manager
- Ipython: Development shell
- Sphinx: Generate documentation for your code.
|Re: Useful Python Libraries by ektbear: 9:13am On Mar 19, 2013|
Tutorial on creation python packages: http://guide.python-distribute.org/creation.html
|Re: Useful Python Libraries by ektbear: 2:09pm On Mar 22, 2013|
ipython notebook...quite useful for presenting calculations you do to others.
|Re: Useful Python Libraries by bb6xt(m): 11:13pm On Mar 24, 2013|
pip, virtualenv, sqlalchemy, pyqt, django, tablib, requests, mongoengine, pymongo, ipython
|Re: Useful Python Libraries by ektbear: 7:08am On Apr 11, 2013|
boto for interacting with Amazon's web services.
Mrjob for writing map/reduce jobs
|Re: Useful Python Libraries by ektbear: 9:08pm On Apr 11, 2013|
OK AWS is probably legit and probably what I'd go for if I was building a company from scratch.
But using a private hadoop cluster is so much more convenient
|Re: Useful Python Libraries by kodewrita(m): 7:46am On Apr 12, 2013|
ekt_bear: OK AWS is probably legit and probably what I'd go for if I was building a company from scratch.Just curious, what kind of setup would you use for a minimal private hadoop installation (that would still be capable of performing optimally)?
|Re: Useful Python Libraries by ektbear: 7:54am On Apr 12, 2013|
You can run Hadoop on your own personal machine. But like I said, if you don't have access to some sort of computing cluster, but need to do large data processing, I'd suggest AWS.
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