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PerformanceMemory or execution speed performanceMemory or execution speed performance
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The following test demonstrates the problem... the contents of testme.py is literally import pandas; however, it takes almost 6 seconds to import pandas on my Lenovo T60.
[mpenning@Mudslide panex]$ time python testme.py real 0m5.759s user 0m5.612s sys 0m0.120s [mpenning@Mudslide panex]$ [mpenning@Mudslide panex]$ uname -a Linux Mudslide 3.2.0-4-686-pae #1 SMP Debian 3.2.57-3+deb7u1 i686 GNU/Linux [mpenning@Mudslide panex]$ python -V Python 2.7.3 [mpenning@Mudslide panex]$ [mpenning@Mudslide panex]$ pip freeze Babel==1.3 Cython==0.20.1 Flask==0.10.1 Flask-Babel==0.8 Flask-Login==0.2.7 Flask-Mail==0.7.6 Flask-OpenID==1.1.1 Flask-SQLAlchemy==0.16 Flask-WTF==0.8.4 Flask-WhooshAlchemy==0.54a Jinja2==2.7.1 MarkupSafe==0.18 Pygments==1.6 SQLAlchemy==0.7.9 Sphinx==1.2.2 Tempita==0.5.1 WTForms==1.0.5 Werkzeug==0.9.4 Whoosh==2.5.4 argparse==1.2.1 backports.ssl-match-hostname==3.4.0.2 blinker==1.3 ciscoconfparse==1.1.1 decorator==3.4.0 docutils==0.11 dulwich==0.9.6 ## FIXME: could not find svn URL in dependency_links for this package: flup==1.0.3.dev-20110405 hg-git==0.5.0 ipaddr==2.1.11 itsdangerous==0.23 matplotlib==1.3.1 mercurial==3.0 mock==1.0.1 nose==1.3.3 numexpr==2.4 numpy==1.8.1 numpydoc==0.4 pandas==0.13.1 pyparsing==2.0.2 python-dateutil==2.2 python-openid==2.2.5 pytz==2013b six==1.6.1 speaklater==1.3 sqlalchemy-migrate==0.7.2 tables==3.1.1 tornado==3.2.1 wsgiref==0.1.2 AN3223, huftis, elonzh, abubelinha and sohang3112
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PerformanceMemory or execution speed performanceMemory or execution speed performance