April 2021
Bruce Schneier has good comments in his post Blockchain and Trust which partly inspire or inform my comments.
I'm very honestly puzzled about the enthusiasm surprisingly many people have about blockchain technologies. I understand the technical aspects of it very
| Alex Martelli on _Cleaning Data_ | |
| I made it -- going far deeper into the text than I had planned to do on a | |
| "first skim" because the text is worth it. Here's my review, which I do not | |
| believe I shall need to edit. | |
| I started reviewing this text with very high expectations. | |
| First, I know the author, and I know he thinks sharply and writes engagingly, | |
| convincingly, and clearly, to present his thinking. |
| from math import ceil, floor | |
| import numpy as np | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| sns.set_theme() | |
| import numba | |
| @numba.njit | |
| def max_advantage(ruling=0.50, districts=1, population=10_000_000): |
| ...except in a zeitgeist of feisty counterfeit heifer protein freight | |
| heists reining in weird deified beige beings and their veiny and eidetic | |
| atheist foreign schlockmeister neighbors, either aweigh with feigned | |
| absenteeism, seized by heightened heirloom forfeitures (albeit deigned | |
| under a kaleidoscope ceiling weighted by seismic geisha keister sleighs) | |
| or leisurely reimbursing sovereign receipt or surveillance of eight veiled | |
| and neighing Rottweilers, herein referred to as their caffeinated sheik's | |
| Weimaraner poltergeist wieners from the Pleiades. |
| Course Name | Date | Start (PST) |
|---|---|---|
| (sklearn) Advanced | May 13, 2020 | 10:00 |
| (clean) Tabular Formats | Jun 01, 2020 | 11:00 |
| (clean) Value Imputation | Jun 10, 2020 | 10:00 |
| (clean) Anomaly Detection | Jun 15, 2020 | 10:00 |
| (clean) Feature Engineering | Jun 19, 2020 | 10:00 |
| (clean) Hierarchical and Other | Jul 01, 2020 | 10:00 |
| (sklearn) Beginning | Jul 06, 2020 | 10:00 |
| (sklearn) Intermediate | Jul 13, 2020 | 10:00 |
| This post has a serious tone, because it is important. | |
| Covid-19 will come to Dexter, and to central Maine generally. It is not | |
| a question of if, but when. People you know will die, and more people will | |
| become gravely ill. This is a sad reality, but it is reality. The | |
| demographics of our town and our state mean that Maine will be more | |
| impacted than most places (this particular disease has a CFR—case | |
| fatality rate—strongly positively correlated with age; children, happily, | |
| will not tend to die of this). |
| Cleaning Data for Effective Data Science | |
| Doing the other 80% of the work | |
| In order for something to become clean, something else must become dirty. | |
| –Imbesi's Law of the Conservation of Filth | |
| It is something of a truism in data science, data analysis, or machine learning | |
| that most of the work needed to do your actual work lies in cleaning your data. | |
| The subtitle of this work alludes to a commonly assigned percentage. A keynote | |
| speaker I listened to at a data science conference a few years ago made a joke— |
| -----BEGIN PGP SIGNED MESSAGE----- | |
| Hash: SHA512 | |
| DURABLE POWER OF ATTORNEY FOR HEALTH CARE | |
| I, David Quintyn Mertz, of 45 Main Street, Dexter ME 04930 USA, being of sound | |
| mind, voluntarily create this Durable Power of Attorney for Health Care. | |
| PRIOR DESIGNATIONS |
| -----BEGIN PGP SIGNED MESSAGE----- | |
| Hash: SHA512 | |
| January 8, 2022 | |
| I, David Quintyn Mertz, residing at 45 Main Street, Dexter Maine 04930, | |
| declare this to be my Will, and I revoke any and all wills and codicils | |
| I previously made. | |
| Proof of not-earlier-date: New York Times headline for today's date: |
| (base) 530-tmp % python thread_kill.py | |
| [1, 2, 3, 4, 5, 1] | |
| [1, 2, 3, 4, 5, 1, 2] | |
| [1, 2, 3, 4, 5, 1, 2, 3] | |
| [1, 2, 3, 4, 5, 1, 2, 3, 4] | |
| [1, 2, 3, 4, 5, 1, 2, 3, 4, 5] | |
| [1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1] | |
| [1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2] | |
| [1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3] | |
| [1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4] |