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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

Shell 0.05% Python 90.41% C 1.70% XSLT 0.01% CSS 0.01% Makefile 0.01% HTML 2.19% Smarty 0.04% Batchfile 0.01% Cython 5.58% Dockerfile 0.01%

pandas-agg's Introduction

Hello World 👋, I'm Anthony

from dataclasses import dataclass

@dataclass
class GivyBoy:
    name: str = "Anthony Givans"
    username: str = "GivyBoy"
    location: str = "FL, USA"
    
    def __str__(self):
      return GivyBoy.name

if __name__ == '__main__':
    me = GivyBoy()
  • 🌱 I’m currently a Junior at the University of Miami double majoring in Math (Prob and Stats) and CS, with a minor in Astrophysics
  • SWE Intern (STEP) at Google for the Summer of 2023 and 2024 (working on creating and e2e ML model)
  • I’m passionate about applying my finance and cs knowledge to the markets to build interesting applications
  • I lead a Quant team at the University of Miami, where we apply quantitative methods to the markets
  • 📫 You can reach me at [email protected] OR [email protected]

Connect with me:

anthony-givans

GivyBoy :: Profile Stats

🛠  Tech Stack

Python  Pandas Numpy Scipy Matplotlib

PyTorch

C++  C  Java  R
Git  GitHub  Markdown
VSCode  RStudio  Eclipse

GivyBoy

pandas-agg's People

Contributors

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