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Wes McKinney

Wes McKinney

591 Followers
54 SlideShares 1 Clipboard 591 Followers 1 Following
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54 SlideShares 1 Clipboard 591 Followers 1 Following

Personal Information
Organization / Workplace
Greater New York City Area, NY United States
Occupation
Director of Ursa Labs, Open Source Developer
Industry
Technology / Software / Internet
Website
wesmckinney.com
About
I'm a problem-solver and have spent most of my career working on data tools and systems. I'm particularly interested in improving the usability of data tools for programmers, accelerating data access and in-memory data processing performance, and improving data system interoperability. From 2010 through 2013, I was instrumental in getting the Python data ecosystem off the ground through the pandas project and my book "Python for Data Analysis"​.
Contact Details
Tags
python big data r hadoop analytics apache arrow pandas data analysis spark data science statistics finance c++ databases arrow julia machine learning open source java impala sql ai parquet data frames workshop vldb pydata grpc golang rust javascript jupyter public serialization community data tools data medium data haskell f# scala go performance testing computer science software engineering pyhpc2011 data structure data an
See more
Presentations (54)
See all
SciPy 2011 pandas lightning talk
11 years ago • 2917 Views
Scipy 2011 Time Series Analysis in Python
11 years ago • 31299 Views
Data Structures for Statistical Computing in Python
11 years ago • 88965 Views
What's new in pandas and the SciPy stack for financial users
11 years ago • 11819 Views
Data Analysis and Statistics in Python using pandas and statsmodels
11 years ago • 19765 Views
Python for Financial Data Analysis with pandas
11 years ago • 61713 Views
pandas: a Foundational Python Library for Data Analysis and Statistics
11 years ago • 60649 Views
Structured Data Challenges in Finance and Statistics
11 years ago • 5259 Views
A look inside pandas design and development
11 years ago • 29282 Views
vbench: lightweight performance testing for Python
11 years ago • 12627 Views
PyCon Singapore 2013 Keynote
9 years ago • 94595 Views
Building Better Analytics Workflows (Strata-Hadoop World 2013)
9 years ago • 82673 Views
Practical Medium Data Analytics with Python (10 Things I Hate About pandas, PyData NYC 2013)
9 years ago • 103753 Views
PyData: The Next Generation
8 years ago • 22181 Views
An Incomplete Data Tools Landscape for Hackers in 2015
8 years ago • 8125 Views
DataFrames: The Good, Bad, and Ugly
8 years ago • 12872 Views
DataFrames: The Extended Cut
7 years ago • 8455 Views
My Data Journey with Python (SciPy 2015 Keynote)
7 years ago • 7416 Views
Ibis: Scaling the Python Data Experience
7 years ago • 3777 Views
Data Science Languages and Industry Analytics
7 years ago • 5533 Views
Ibis: Scaling Python Analytics on Hadoop and Impala
7 years ago • 7597 Views
Productive Data Tools for Quants
7 years ago • 1679 Views
pandas: Powerful data analysis tools for Python
7 years ago • 9692 Views
Data Tools and the Data Scientist Shortage
7 years ago • 3665 Views
Enabling Python to be a Better Big Data Citizen
7 years ago • 6046 Views
Apache Arrow (Strata-Hadoop World San Jose 2016)
7 years ago • 16960 Views
Next-generation Python Big Data Tools, powered by Apache Arrow
7 years ago • 12945 Views
Improving data interoperability in Python and R
7 years ago • 2641 Views
Python Data Ecosystem: Thoughts on Building for the Future
7 years ago • 5373 Views
High Performance Python on Apache Spark
6 years ago • 16535 Views
  • Activity
  • About

Presentations (54)
See all
SciPy 2011 pandas lightning talk
11 years ago • 2917 Views
Scipy 2011 Time Series Analysis in Python
11 years ago • 31299 Views
Data Structures for Statistical Computing in Python
11 years ago • 88965 Views
What's new in pandas and the SciPy stack for financial users
11 years ago • 11819 Views
Data Analysis and Statistics in Python using pandas and statsmodels
11 years ago • 19765 Views
Python for Financial Data Analysis with pandas
11 years ago • 61713 Views
pandas: a Foundational Python Library for Data Analysis and Statistics
11 years ago • 60649 Views
Structured Data Challenges in Finance and Statistics
11 years ago • 5259 Views
A look inside pandas design and development
11 years ago • 29282 Views
vbench: lightweight performance testing for Python
11 years ago • 12627 Views
PyCon Singapore 2013 Keynote
9 years ago • 94595 Views
Building Better Analytics Workflows (Strata-Hadoop World 2013)
9 years ago • 82673 Views
Practical Medium Data Analytics with Python (10 Things I Hate About pandas, PyData NYC 2013)
9 years ago • 103753 Views
PyData: The Next Generation
8 years ago • 22181 Views
An Incomplete Data Tools Landscape for Hackers in 2015
8 years ago • 8125 Views
DataFrames: The Good, Bad, and Ugly
8 years ago • 12872 Views
DataFrames: The Extended Cut
7 years ago • 8455 Views
My Data Journey with Python (SciPy 2015 Keynote)
7 years ago • 7416 Views
Ibis: Scaling the Python Data Experience
7 years ago • 3777 Views
Data Science Languages and Industry Analytics
7 years ago • 5533 Views
Ibis: Scaling Python Analytics on Hadoop and Impala
7 years ago • 7597 Views
Productive Data Tools for Quants
7 years ago • 1679 Views
pandas: Powerful data analysis tools for Python
7 years ago • 9692 Views
Data Tools and the Data Scientist Shortage
7 years ago • 3665 Views
Enabling Python to be a Better Big Data Citizen
7 years ago • 6046 Views
Apache Arrow (Strata-Hadoop World San Jose 2016)
7 years ago • 16960 Views
Next-generation Python Big Data Tools, powered by Apache Arrow
7 years ago • 12945 Views
Improving data interoperability in Python and R
7 years ago • 2641 Views
Python Data Ecosystem: Thoughts on Building for the Future
7 years ago • 5373 Views
High Performance Python on Apache Spark
6 years ago • 16535 Views
Personal Information
Organization / Workplace
Greater New York City Area, NY United States
Occupation
Director of Ursa Labs, Open Source Developer
Industry
Technology / Software / Internet
Website
wesmckinney.com
About
I'm a problem-solver and have spent most of my career working on data tools and systems. I'm particularly interested in improving the usability of data tools for programmers, accelerating data access and in-memory data processing performance, and improving data system interoperability. From 2010 through 2013, I was instrumental in getting the Python data ecosystem off the ground through the pandas project and my book "Python for Data Analysis"​.
Tags
python big data r hadoop analytics apache arrow pandas data analysis spark data science statistics finance c++ databases arrow julia machine learning open source java impala sql ai parquet data frames workshop vldb pydata grpc golang rust javascript jupyter public serialization community data tools data medium data haskell f# scala go performance testing computer science software engineering pyhpc2011 data structure data an
See more

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