Peeush Agarwal peeush-agarwal

peeush-agarwal / main.yml

Last active November 30, 2022 20:53

GitHub Action workflow for CI/CD pipeline with Flask application

	# This is a basic workflow to help you get started with Actions

	name: Deploy to Raspberry Pi

	# Controls when the workflow will run
	on:
	# Triggers the workflow on push or pull request events but only for the main branch
	push:
	branches: [ main ]

peeush-agarwal / Dockerfile

Last active February 27, 2022 04:23

Dockerfile for building a container

	# We need to add arm64v8 architecture type to run it on RaspberryPi or other ARM based devices
	FROM arm64v8/python:3

	WORKDIR /usr/src/app

	COPY requirements.txt ./
	RUN pip install --no-cache-dir -r requirements.txt

	COPY . .

peeush-agarwal / gunicorn_starter.sh

Created February 27, 2022 04:26

Gunicorn server shell script

	#!/bin/sh
	gunicorn -w 1 -b 0.0.0.0:4000 app:app

peeush-agarwal / .dockerignore

Created February 27, 2022 16:13

Docker ignore file to ignore specific files and folders when building Docker container

	Dockerfile
	__pycache__/

peeush-agarwal / main.yml

Last active February 28, 2022 02:58

GitHub workflow file changes with docker container

	# This is a basic workflow to help you get started with Actions

	name: Deploy to Raspberry Pi

	# Controls when the workflow will run
	on:
	# Triggers the workflow on push or pull request events but only for the main branch
	push:
	branches: [ main ]

peeush-agarwal / load_wine_data.py

Created March 14, 2022 17:19

PCA: load wine data into the dataframe

	import pandas as pd

	df_wine = pd.read_csv('https://archive.ics.uci.edu/ml/'
	'machine-learning-databases/wine/wine.data',
	header=None)
	df_wine.head()

peeush-agarwal / standardize_data.py

Created March 14, 2022 17:23

PCA: standardize the wine dataframe

	from sklearn.model_selection import train_test_split
	from sklearn.preprocessing import StandardScaler

	# split into training and testing sets
	X, y = df_wine.iloc[:, 1:].values, df_wine.iloc[:, 0].values
	X_train, X_test, y_train, y_test = train_test_split(
	X, y, test_size=0.3,
	stratify=y, random_state=0
	)
	# standardize the features

peeush-agarwal / compute_eigen_vals.py

Created March 14, 2022 17:25

PCA: computation of eigen values for the dataframe

	import numpy as np

	cov_mat = np.cov(X_train_std.T)
	eigen_vals, eigen_vecs = np.linalg.eig(cov_mat)

peeush-agarwal / resume_mg.json

Last active September 18, 2024 10:22

Resume in JSON format for Megha

	{
	"basics": {
	"name": "Megha Goyal",
	"label": "WFM Business Partner \| Chief of Staff \| MIS Executive",
	"email": "[email protected]",
	"phone": "+91-90961 69255",
	"location": {
	"address": "Wagholi",
	"city": "Pune",
	"region": "Maharashtra"

peeush-agarwal / resume.json

Last active September 18, 2024 10:48