Archives for Wes McKinney

Thu 05 August 2021 Joining Forces for an Arrow-Native Future

Mon 23 September 2019 Linux Developer Laptops: Dell's Precision 5500 series reigns supreme

Thu 04 April 2019 Ursa Labs March 2019 Report

Wed 06 March 2019 Ursa Labs February 2019 Report

Tue 05 February 2019 Ursa Labs January 2019 Report

Mon 07 January 2019 The Ultrarich's dirty secret: not paying taxes

Mon 03 December 2018 Leaving NYC for Nashville

Fri 12 October 2018 Is it time to stop using sentinel values for null / "NA" values?

Wed 10 October 2018 Announcing Ursa Labs's partnership with NVIDIA

Thu 19 April 2018 Announcing Ursa Labs: an innovation lab for open source data science

Wed 01 November 2017 Some comments to Daniel Abadi's blog about Apache Arrow

Mon 16 October 2017 Feather format update: Whence and Whither?

Thu 21 September 2017 Apache Arrow and the "10 Things I Hate About pandas"

Thu 07 September 2017 Making Smart Phones Dumb Again

Tue 05 September 2017 Software patents are evil, but BSD+Patents is probably not the solution

Fri 10 February 2017 Extreme IO performance with parallel Apache Parquet in Python

Fri 27 January 2017 Streaming Columnar Data with Apache Arrow

Wed 25 January 2017 Development update: High speed Apache Parquet in Python with Apache Arrow

Tue 03 January 2017 Native Hadoop file system (HDFS) connectivity in Python

Tue 27 December 2016 2017 Outlook: pandas, Arrow, Feather, Parquet, Spark, Ibis

Tue 27 December 2016 From Arrow to pandas at 10 Gigabytes Per Second

Sun 04 December 2016 Kinesis Advantage2: Impressions

Sun 06 November 2016 GitHub's one-dimensional view of open source contributions

Tue 14 June 2016 Kinesis Savant Elite 2 Foot pedals

Tue 26 April 2016 Feather: it's about metadata

Thu 21 April 2016 Feather and Apache Arrow: Grokking file formats vs. in-memory representations

Thu 21 April 2016 Rejoinder: the problem with conda-forge right now

Wed 20 April 2016 conda-forge and PyData's CentOS moment

Wed 06 April 2016 On Software Demos and Potemkin Villages

Thu 17 March 2016 Avoid unsigned integers in C++ if you can

Wed 16 March 2016 Compiling DataFrame code is harder than it looks

Sun 13 March 2016 Do average consumers still need Dropbox?

Mon 22 February 2016 Why pandas users should be excited about Apache Arrow

Mon 02 November 2015 Analyzing Interactive Brokers XML Flex Statements with pandas

Mon 02 November 2015 The problem with the data science language wars

Thu 29 October 2015 Spying on instance methods with Python's mock module

Mon 30 March 2015 Don't sell on Amazon

Mon 23 March 2015 What’s changed

Mon 06 October 2014 Thoughts on joining Cloudera

Sun 10 November 2013 Strata NYC 2013 and PyData 2013 Talks

Sat 15 June 2013 PyCon Singapore 2013

Fri 22 March 2013 I'm moving to San Francisco. And hiring

Mon 11 February 2013 Whirlwind tour of pandas in 10 minutes

Mon 10 December 2012 Update on upcoming pandas v0.10, new file parser, other performance wins

Thu 04 October 2012 A new high performance, memory-efficient file parser engine for pandas

Fri 22 June 2012 Intro to Python for Financial Data Analysis at General Assembly

Tue 05 June 2012 Easy, high performance time zone handling in pandas 0.8.0

Sun 13 May 2012 Mastering high performance data algorithms I: Group By

Fri 04 May 2012 A O(n log n) NA-friendly time series "as of" using array operations

Sun 15 April 2012 The need for an embedded array expression compiler for NumPy

Mon 19 March 2012 vbench Lightning Talk Slides from PyCon 2012

Wed 18 January 2012 Even easier frequency tables in pandas 0.7.0

Sat 14 January 2012 Contingency tables and cross-tabulations in pandas

Wed 11 January 2012 NYCPython 1/10/2012: A look inside pandas design and development

Thu 05 January 2012 High performance database joins with pandas DataFrame, more benchmarks

Tue 03 January 2012 Some pandas Database Join (merge) Benchmarks vs. R base::merge

Sun 18 December 2011 Introducing vbench, new code performance analysis and monitoring tool

Wed 23 November 2011 Formatting DataFrame as HTML

Tue 22 November 2011 Talk at Rice Stats on structured data analysis, pandas, 11/21/2011

Sat 19 November 2011 pandas talk at PyHPC 2011 workshop in SC11, thoughts on hash tables

Mon 07 November 2011 Filtering out duplicate pandas.DataFrame rows

Mon 31 October 2011 PyHPC 2011 Pre-print paper on pandas

Sun 23 October 2011 Fast and easy pivot tables in pandas 0.5.0

Fri 21 October 2011 Performance quirk: making a 1D object ndarray of tuples

Tue 18 October 2011 Python for Financial Data Analysis with pandas

Sun 16 October 2011 Speeding up pandas's file parsers with Cython

Fri 30 September 2011 Python, R, and the allure of magic

Fri 30 September 2011 The pandas escaped the zoo: Python's pandas vs. R's zoo benchmarks

Sat 24 September 2011 Faster time series alignment / joins for pandas, beating R's xts package

Fri 23 September 2011 NumPy indexing peculiarities

Thu 15 September 2011 NYC Open Statistical Programming Meetup on 9/14/2011

Wed 27 July 2011 GroupBy-fu: improvements in grouping and aggregating data in pandas

Thu 21 July 2011 A Roadmap for Rich Scientific Data Structures in Python

Wed 20 July 2011 SciPy 2011 Conference Highlights

Tue 12 July 2011 Adventures in Aggregating Data