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Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

Spotify AutoHotkey Script

This script makes use of the Numpad to control media players and volume on your system.

	##
	# Convert .xlsb to .csv - PowerShell function.
	##
	## USAGE:
	# Open Windows PowerShell, change your paths on below one liner and paste it in Windows PowerShell:
	# Set-ExecutionPolicy Bypass -Scope Process -Force; $username = $env:username; . "C:\Users\$username\Documents\ConvertFrom-XLSB.ps1"; Get-ChildItem "C:\Users\$username\Desktop\*xlsb' \| Sort-Object LastWriteTime -Descending \| Select-Object -First 1 -ExpandProperty Fullname \| ConvertFrom-XLSB -OutputPath 'C:\Users\$username\Desktop\'
	##

	function ConvertFrom-XLSB {
	param(

	#
	# ref https://github.com/tebeka/pythonwise/blob/master/docker-miniconda/Dockerfile
	#
	# miniconda vers: http://repo.continuum.io/miniconda
	# sample variations:
	# Miniconda3-latest-Linux-armv7l.sh
	# Miniconda3-latest-Linux-x86_64.sh
	# Miniconda3-py38_4.10.3-Linux-x86_64.sh
	# Miniconda3-py37_4.10.3-Linux-x86_64.sh
	#

	# Remarks:
	#
	# The export is done using the automated testing framework [Selenium](https://
	# de.wikipedia.org/wiki/Selenium) which results in opening a browser window
	# (Google Chrome) that might has to be closed by hand. Other than Plotly's
	# own `export()` function this one also allows to set the `width` and `height`
	# of the exported plot (in the former it's hardcoded to 800x600 pixels). If
	# `incl_PDF_copy`/`incl_PNG_copy` is set to `TRUE`, the exported SVG additionally
	# gets converted to a PDF/PNG using the R package [`rsvg`](https://github.com/
	# jeroen/rsvg/tree/40576ac326621b40224db344b09158f4ff717433) which relies on

	using SHA
	using Dates
	"""
	An individual block structure
	"""
	struct Block
	index::Int
	timestamp::DateTime
	data::String
	previous_hash::String