Doaa Altarawy doaa-altarawy

Cleanup docker images and containers after failed builds

Sometimes, there are some untagged images left behind after failed builds. In order to get rid of those, this script can be used.

#!/bin/bash
docker rm $(docker ps -aq)
docker rmi $(docker images | grep "^<none>" | awk '{print $3}')

A "Best of the Best Practices" (BOBP) guide to developing in Python.


	def log_run(gridsearch: sklearn.GridSearchCV, experiment_name: str, model_name: str, run_index: int, conda_env, tags={}):
	"""Logging of cross validation results to mlflow tracking server

	Args:
	experiment_name (str): experiment name
	model_name (str): Name of the model
	run_index (int): Index of the run (in Gridsearch)
	conda_env (str): A dictionary that describes the conda environment (MLFlow Format)
	tags (dict): Dictionary of extra data and tags (usually features)

	import setuptools

	if __name__ == "__main__":
	setuptools.setup(
	name='RTP_python_template',
	version="0.3.0",
	description='A starting template for Python programs',
	author='Doaa Altarawy',
	author_email='daltarawy@vt.edu',
	url="https://github.com/doaa-altarawy/RTP_python_template",

	# For more configuration details:
	# https://docs.codecov.io/docs/codecov-yaml

	# Check if this file is valid by running in bash:
	# curl -X POST --data-binary @.codecov.yml https://codecov.io/validate

	# Coverage configuration
	# ----------------------
	coverage:
	status:

	# Want to run your Flask tests with CSRF protections turned on, to make sure
	# that CSRF works properly in production as well? Here's an excellent way
	# to do it!

	# First some imports. I'm assuming you're using Flask-WTF for CSRF protection.
	import flask
	from flask.testing import FlaskClient as BaseFlaskClient
	from flask_wtf.csrf import generate_csrf

	# Flask's assumptions about an incoming request don't quite match up with

	def get_count(q):
	count_q = q.statement.with_only_columns([func.count()]).order_by(None)
	count = q.session.execute(count_q).scalar()
	return count

	q = session.query(TestModel).filter(...).order_by(...)

	# Slow: SELECT COUNT(*) FROM (SELECT ... FROM TestModel WHERE ...) ...
	print q.count()

	#!/bin/bash

	NAME="hello_app" # Name of the application
	DJANGODIR=/webapps/hello_django/hello # Django project directory
	SOCKFILE=/webapps/hello_django/run/gunicorn.sock # we will communicte using this unix socket
	USER=hello # the user to run as
	GROUP=webapps # the group to run as
	NUM_WORKERS=3 # how many worker processes should Gunicorn spawn
	DJANGO_SETTINGS_MODULE=hello.settings # which settings file should Django use
	DJANGO_WSGI_MODULE=hello.wsgi # WSGI module name