Raveen Beemsingh raveenb

JupyterLab Installation and Customizations (Python 3.11)

Make your JupyterLab awesome with Code Completion, Code Typeahead, Font Changes for Code/UI/Output, Faster Autosave, Black Autoformatting, Ruff Lint Suggestions, Rich Pretty Printed REPL Outputs, Darcula Theme, Autoversion of files, Pandas Lux Visualization, Javascript Kernel and more.

General Instructions

Download the zip file of this gist. Unzip the zip file to a directory and give execution rights to the .sh files using chmod +x *.sh
Ensure you are running on a mac and have homebrew installed
Ensure you have python(3.9, 3.10, 3.11) installed and is available in the default path. Otherwise, install the versions you want, using brew install [email protected] or brew install [email protected] or brew install [email protected]

Installing JupyterLab

How to Run FastAPI inside Jupyter

Ensure you have these installed and accessible from the notebook pyngrok, nest_asyncio, fastapi, uvicorn and other libs you want

%pip install pyngrok nest_asyncio fastapi uvicorn loguru

Create a FastAPI app

from fastapi import FastAPI

SSH Connection Timeout

Most ssh login/shell connections to servers will timeout and you will have to login again and again.
To avoid these and keep the shell connection alive for longer, try these steps
The steps were initially discussed here -> https://unix.stackexchange.com/questions/200239/how-can-i-keep-my-ssh-sessions-from-freezing

Client side changes (your osx/linux pc)

edit /etc/ssh/ssh

If you are using Oauth login/register on a Flask server and its is behind Traefik. You will need to do two things to fix the https and redirect issues. You may be getting errors indicating that the OAuth callback is not valid or is not https enabled. And the intersting part to note is that it will work fine when running on local host and straight up https, but fail when the app is behing a proxy/edege router/traffic multiplexer like Traefik or NGinx.

Do the Proxy fix to the wsgi app inside of the flask app. This is from the flask documentation itself https://flask.palletsprojects.com/en/1.1.x/deploying/wsgi-standalone/#deploying-proxy-setups

# assuming app is the Flask app

from werkzeug.middleware.proxy_fix import ProxyFix

app.wsgi_app = ProxyFix(app.wsgi_app, x_proto=1, x_host=1)

Connecting to an Android device over SSH

Initial Setup

Install Android App Termux from APKPure or AppStore. If the app exists, just delete and re-install it to get the latest version, The APK can be downloaded from https://apkpure.com/termux/com.termux/ Install the APK using by running

adb install ~/Downloads/Termux_v0.73_apkpure.com.apk

Jon is visiting New York City for the first time. He would like to make use of his stay by touring various places around the city. He wonders if there could be any system which helps him to find a most optimal route which covers as many tourist places as possible from his source to his desired destination point.

Luckily, we have Open Street Maps which contatins "tags" on each road describing it. More information about it can be found here, http://wiki.openstreetmap.org/wiki/Elements#Tag.

Now, you as a Software Developer, need to develop a system to solve his problem. Here are the things that will help you,

a OSM Map data in XML format. This data contains a map of Manhattan, New York. You can find the description of OSM data format here, http://wiki.openstreetmap.org/wiki/OSM_XML

Using these, when a source and destination points are given, you need to find a route which has a maximum number of tourist places in it.

	import json
	import numpy as np
	from flask import jsonify
	from datetime import datetime, timedelta

	class CustomJSONEncoder(json.JSONEncoder):
	def default(self, o):
	if isinstance(o, np.ndarray): return o.tolist()
	if isinstance(o, np.int64): return int(o)
	if isinstance(o, set): return list(o)

	#!/bin/bash

	echo "> Activating Python3 Env"
	source /home/ec2-user/anaconda3/bin/activate python3
	echo "> Updating Python to 3.7"
	conda update -y conda
	conda install -y python=3.7
	conda install -y pip
	echo "> Updating Libraries"
	pip install pandas numpy matplotlib ipython ipykernel notebook --upgrade

	FROM python:3.6-slim-jessie
	MAINTAINER Raveen Beemsingh <[email protected]>

	RUN apt-get update && \
	apt-get -y install cron curl redis-server sudo build-essential && \
	rm -rf /var/lib/apt/lists/*

	RUN adduser appuser
	RUN echo "appuser ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers