Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
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""" | |
Python code for fractional differencing of pandas time series | |
illustrating the concepts of the article "Preserving Memory in Stationary Time Series" | |
by Simon Kuttruf | |
While this code is dedicated to the public domain for use without permission, the author disclaims any liability in connection with the use of this code. | |
""" | |
import numpy as np | |
import pandas as pd |
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/** | |
* Encode string into Base64, as defined by RFC 4648 [http://tools.ietf.org/html/rfc4648]. | |
* As per RFC 4648, no newlines are added. | |
* | |
* Characters in str must be within ISO-8859-1 with Unicode code point <= 256. | |
* | |
* Can be achieved JavaScript with btoa(), but this approach may be useful in other languages. | |
* | |
* @param {string} str ASCII/ISO-8859-1 string to be encoded as base-64. | |
* @returns {string} Base64-encoded string. |
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