Asapanna Rakesh INF800

To list all python versions in default locations

ls /usr/bin/python*

To remove just python3 package

sudo apt-get remove python3.5

plus it's dependent packages

sudo apt-get remove --auto-remove python3.5

plus configuration and/or data files of python3

sudo apt-get purge python3.5

I wanted to find a different method that didn't require me to read the json file or to have to upload it to root while using Colab. I instead wanted to just store the json in my drive somewhere and let the kaggle cli know where it is.

As it turns out, there's a way to do that, which is set the environment variable KAGGLE_CONFIG_DIR

If you don't have the json file yet, check the docs for how to get that: link Then upload it to your drive. Mine happens to be at /content/drive/My Drive/fastai-v3/.kaggle/kaggle.json. (ayyy shoutout to the FastAI courses 👌 ) Now in colab you can just run:

	<header>
	<h1 class="fluid">you deserve<br />more.</h1>
	</header>
	<main>
	<section class="content fluid">
	<h2><span aria-hidden="true">you can </span>
	<span class="sr-only">you can ship things.</span>
	</h2>
	<ul aria-hidden="true" style="--count: 22">
	<li style="--i: 0">optimize.</li>

	import multiprocessing #:)

	def do_this(number):
	print number
	return number*2

	# Create a list to iterate over.
	# (Note: Multiprocessing only accepts one item at a time)
	some_list = range(0,10)

	"""
	Usage:

	Make sure that redis is running on localhost (or adjust the url)
	Install uvicorn or some other asgi server https://asgi.readthedocs.io/en/latest/implementations.html

	pip install -u uvicorn

	Install dependencies

	# source: https://www.geeksforgeeks.org/difference-between-multithreading-vs-multiprocessing-in-python/
	import time, os
	from threading import Thread, current_thread
	from multiprocessing import Process, current_process


	COUNT = 200000000
	SLEEP = 10

	def io_bound(sec):

	def f(*, a):
	pass

	f(1) # raises error
	f(a=1) # works

	# ========================================================================================
	# setup image
	# ========================================================================================
	# download or build image
	docker build .


	# ========================================================================================
	# setup container
	# ========================================================================================