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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Home Page: https://pandas.pydata.org

License: BSD 3-Clause "New" or "Revised" License

Makefile 0.01% Python 95.59% Shell 0.07% HTML 2.40% C 1.89% Batchfile 0.01% Smarty 0.02% CSS 0.01% Dockerfile 0.01% XSLT 0.01%

pandas's Introduction

Welcome

Hi! I am Madison Estabrook. I am an experienced, driven, and analytical Microsoft SQL Server Database Administrator seeking to increase data accessibility and integrity. Let’s work together to reach the long- and short-term goals of your company. I am a six-time Facebook Scholar; I have also earned two scholarships from Google. I graduated with my Master’s of Science in Technical Communication in May 2019 with a 4.0 / 4.0 GPA; I graduated with my Bachelor’s of Science in Information Analytics and Data Communication with a 3.78 / 4.0 GPA in December 2017.

This repository is about me (Madison Estabrook), including:

  • My current projects
  • Current Interests
    • Libraries / Frameworks
    • Languages
    • Subjects

Current Projects

Currently, I am:

  • A Senior Data Base Analyst at DHSMV

Current Interests

Libraries / Frameworks

Currently, I am interested in learning more about:

Languages

I am interested in and have experience in:

Subjects

I am interested in learning more about:

  • Progressive, Accessible, and Offline-First Web Apps
  • Non-Relational Database Development and Administration

pandas's People

Contributors

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