$30 off During Our Annual Pro Sale. View Details »

Higher Performance Python (ODSC 2019)

ianozsvald
November 21, 2019

Higher Performance Python (ODSC 2019)

Making Pythonic data science faster with line_profiler, more efficient Pandas, dask, Swifter and compilation with Numba. Get a 100x speed-up on common operations using smarter tool choices.

ianozsvald

November 21, 2019
Tweet

More Decks by ianozsvald

Other Decks in Science

Transcript

  1.  Interim Chief Data Scientist  19+ years experience 

    Quickly build strategic data science plans  Team coaching & public courses Introductions By [ian]@ianozsvald[.com] Ian Ozsvald 2nd Edition April 2020
  2.  Introduce profiling, faster Pandas, multi-core  Reflect on “good

    practice” so you can be highly performant Today’s goal By [ian]@ianozsvald[.com] Ian Ozsvald
  3.  Calculate features including slope  Ordinary Least Squared on

    time series  100,000 rows in a DataFrame to trial  Estimate for 100x (52wk*2 time windows)  Lots of CPU time – can we do better? A typical higher-performance task By [ian]@ianozsvald[.com] Ian Ozsvald
  4. A typical task – need slope of the line By

    [ian]@ianozsvald[.com] Ian Ozsvald
  5.  Python, Pandas and NumPy distributed computing  Bag (standard

    Python collections), Array (NumPy) and Distributed DataFrame (Pandas)  dask-ml for distributed sklearn machine learning  Super-easy parallelised Pandas functions Dask By [ian]@ianozsvald[.com] Ian Ozsvald
  6.  Sklearn & iloc – 90 minutes  Lstsq &

    apply raw – 10 minutes  With Numba – 1 minute  Add Dask – 30 seconds (180x theoretical speed-up)  Don’t go crazy – remember maintenance Costs on the “big problem” By [ian]@ianozsvald[.com] Ian Ozsvald
  7.  iloc & apply are fine, cache where possible 

    Sklearn in dev, lstsq for prod? Maintenance cost...  Numba (and Dask) need team buy-in  Profile before trying ideas (else you’re guessing)  Test everything! Bulwark is nice On being “highly performant” By [ian]@ianozsvald[.com] Ian Ozsvald
  8.  We publish the 2nd edition next April  Thanks

    to O’Reilly for free copies to sign  I run training courses – come chat and tell me your needs please! Book signing (1st ed) later today By [ian]@ianozsvald[.com] Ian Ozsvald
  9.  Measure – don’t guess  Test everything  I’d

    love a postcard if you learned something new  Join my Thoughts & Jobs email list for tips via my blog  Lots of past talks on ianozsvald.com Summary By [ian]@ianozsvald[.com] Ian Ozsvald