agriyakhetarpal Goto Github PK

followers: 33.0 following: 29.0 repos: 44.0 gists: 2.0

Name: Agriya Khetarpal

Type: User

Company: @Quansight

Bio: sentient stochastic parrot

Twitter: agriyakhetarpal

Location: India

Agriya Khetarpal

Full-time Pythonista, part-time poet, and hopeful code poet 🐍

Hi there! I am a senior undergrad at the University of Delhi in New Delhi, India; pursuing a Bachelor of Technology degree in Information Technology and Mathematical Innovations with a minor in Management.

Here is a list of what I am interested in and would continually like to learn more about – which is by no means exhaustive:

open-source software in scientific computing,
the study of numerical methods and their applications in the physical sciences,
cloud computing and infrastructure at scale,
interfacing compiled and interpreted languages together,
DevOps and site reliability engineering (SRE), and
best practices in software engineering and testing automation.

I currently volunteer and help maintain PyBaMM (Python Battery Mathematical Modelling), a Python package and library for the mathematical modelling of batteries and for conducting efficient simulations and experiments (and some of its surrounding packages).

You can usually find me lurking around on myriads of repositories and discussions related to Python packaging and developer tooling, its scientific computing ecosystem, build systems, and more – occasionally contributing to them as well.

Please feel free to reach out to me on any of the following social media handles to say hello:

Social network	URL to my profile
LinkedIn	https://www.linkedin.com/in/agriyakhetarpal
Twitter	https://twitter.com/agriyakhetarpal

For any professional inquiries, please reach out to me at the following email address: agriyakhetarpal [at] outlook [dot] com

For the ones that seek poetic malaise, here's a quote from Ode: Intimations of Immortality by William Wordsworth:

“Whither is fled the visionary gleam? Where is it now, the glory and the dream?”

Agriya Khetarpal's Projects

agriyakhetarpal

just setting up my readme

battbot

An automated Twitter Bot that Tweets random Battery Simulations and replies to requested Battery Simulations.

bpx

BPX schema in pydantic and JSON schema format, and parsers

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

casadi-vcpkg-registry

(for testing purposes) vcpkg registry for casadi

convoke

Convoke's website.

cookie

Scientific Python Library Development Guide and Cookiecutter

dffml

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

evsquizapp

EVS semester long project. In development.

gradio

Create UIs for your machine learning model in Python in 3 minutes

hashhacks

hugo-python-distributions

pip-installable binaries (wheels) for the Hugo static site generator (note: unofficial, community-maintained)

hugo-twitter-timeline

A simple Hugo shortcode for embedding a Twitter timeline

iris

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

issue-from-pytest-log

create issues from pytest-reportlog files

jupyterlite-sphinx

Sphinx extension using JupyterLite to render Notebooks

linkbite

A fast, minimal URL shortener web app with FastAPI

lorenzchaosencryption

Image encryption script in Python

matplotlib

matplotlib: plotting with Python

montecarlomethods

numcodecs

A Python package providing buffer compression and transformation codecs for use in data storage and communication applications.

numpy

The fundamental package for scientific computing with Python.

pandas

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