Romain Beucher rbeucher

############# Markdown parser in Jupyter notebooks ##################

<div class="alert alert-block alert-info"> <b>NOTE</b> Use blue boxes for Tips and notes. </div>

<div class="alert alert-block alert-success"> Use green boxes sparingly, and only for some specific purpose that the other boxes can't cover. For example, if you have a lot of related content to link to, maybe you decide to use green boxes for related links from each section of a notebook.

Our goal here is to have one USB stick to rule them all. Objectives:

We want a full system - not a live CD
We want to boot this system on a Macbook Pro (requires UEFI)
We want to boot this system on a Acer C720 Chromebook (requires Legacy BIOS support)
We want the system "functional"

The last bullet is subject to interpretation, but I'm defining functional as:

X Windows works (with LXDE)

Production Web Server Setup and Deployment Guide

This is a detailed runbook for setting up a production server on an Ubuntu 16.04 cloud VPS for automated deployment of static web content to be served by an NGINX web server and Node.js web application behind an NGINX reverse-proxy, both with SSL/TLS (https) support.

The steps are as follows:

Create a VPS instance
Set Up Server Security
1. Update Server Software
Create a non-root user

Recovering deleted files in Ubuntu with ext4 filesystem

Recently, I deleted some files by mistake in a Ubuntu machine with an ext4 fs. These notes document the steps I took to get them back.

Important

this procedure assumes that the partition that contained the deleted files is different from the root partition, as that was the scenario with which I had to deal (deleted files were in my home dir). The procedure needs that the partition that contained the files is unmounted, so if the deleted files were in the root partition, the process would be a bit different (e.g. storing the fs journal in a USB stick, using a live CD/USB to boot and issue the commands, etc.)
if something is not clear, you need more information, etc. check the sources below

With that out the way, let's begin.

Setting Up Django-Shell Jupyter Notebook in Docker Container

This guide assumes that your django application already running in the container.

1. Install required python packages

You will have to make sure that django-extensions and jupyter packages are installed in the container's python virtual environment.

If you need to shell into the container as root user to do this, you can do so from the host PC:

	<!DOCTYPE html>
	<html>
	<head>
	<meta charset='utf-8' />
	<title></title>
	<meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' />
	<script src='https://api.tiles.mapbox.com/mapbox-gl-js/v0.18.0/mapbox-gl.js'></script>
	<link href='https://api.tiles.mapbox.com/mapbox-gl-js/v0.18.0/mapbox-gl.css' rel='stylesheet' />
	<script src="mapbox-gl-draw.js"></script>
	<link href='mapbox-gl-draw.css' rel='stylesheet' />

	import matplotlib
	from matplotlib.axes import Axes
	from matplotlib.patches import Circle
	from matplotlib.path import Path
	from matplotlib.ticker import NullLocator, Formatter, FixedLocator
	from matplotlib.transforms import Affine2D, BboxTransformTo, Transform
	from matplotlib.projections import register_projection
	import matplotlib.spines as mspines
	import matplotlib.axis as maxis
	import matplotlib.pyplot as plt

	from stocks import wsgi
	from django.core.exceptions import ObjectDoesNotExist
	from api.models import Stock, Company

	import csv

	csvpath = r'prices.csv'
	batch_size = 500

	t1 = time.time()