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The ODSC team was delighted to present the second Outstanding Data Science Project Award to ‘Pandas’ at ODSC West on November 3rd.    Why...

The ODSC team was delighted to present the second Outstanding Data Science Project Award to ‘Pandas’ at ODSC West on November 3rd.   

Why ODSC is gives these awards…

Most data scientists/developers use an open source language, tool, software or platform daily. All of these resources available because their contributors who have dedicated countless hours of personal time building, debugging and expanding them. And, most of these contributor’s efforts go unrecognized. The Open Data Science Award aims to acknowledge and celebrate those selfless contributors and their dedication to the field.

 

Wes Mckinney, Senior Vice president of Two Sigma and the original author of pandas, received the prize on behalf of the pandas team at ODSC West on November 3rd.

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Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Wes mentioned a very critical point during the ceremony that reminded us of similar remarks made by Andreas Mueller (the ODSC East Award winner.) 

 

 

 

 

Wes also highlighted that even though the number of pandas users through GitHub has increased ten times in the last 6 years, the number of contributors has remained the same. The Open Source world needs more support to maintain its extraordinary contribution.

If you would like to find out more about pandas and contribute please visit the project site.

 

We are excited to continue ODSC Open Source Awards in 2018! To help us select our nominees for 2018, click here and nominate your favorite open source tools, contributors, and libraries.

 

©ODSC2017

ODSC Team

ODSC Team

ODSC gathers the attendees, presenters, and companies that are shaping the present and future of data science and AI. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in USA, Europe, and Asia.

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