Mart van de Ven tijptjik

openpgp4fpr:AA8B918BA88B24E8CC66C8B07FB8216A56B728F4

In a collection of nine stunningly original, provocative, and poignant stories, Ted Chiang tackles some of humanity’s oldest questions and introduces several new quandaries for us Chronoscopians to discuss.

Getting the book

Private message Mart for details, or directly purchase the book from the following retailers:

@Kindle - US$14 from Amazon
@Kobo - US$14 from Rakuten

Game of Thrones Death Pool

OBJECTIVE

Pick a death list with all the characters you believe will die in season 7.

RULES

You SCORE points by having characters who DIE in season 7 on your list.
You LOSE points by having characters who SURVIVE season 7 on your list.

Chronoscopy

Welcome to the journey through the history of the future! We're reading and discussing "The Big Book of Science Fiction", an anthology of the greatest short stories in the genre. The stories are in chronological order, so we're stepping through a century's worth of developments in a genre that trades on fresh ideas! We'll discuss them in tri-weekly sessions and you're invited to add your voice. Ready to jack in, young deckrunner?

Format

We're reading and discussing short stories from "The Big Book of Science Fiction"
"The Big Book" is an anthology spanning 100 years and features 104 short stories.

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	$git_state\
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	### Keybase proof

	I hereby claim:

	* I am tijptjik on github.
	* I am tijptjik (https://keybase.io/tijptjik) on keybase.
	* I have a public key ASBTGLpSzxDk68Ox9RBjfao8TOP3lXpvoDuA4W2k4xEZ_Ao

	To claim this, I am signing this object:

	import pandas as pd

	df = pd.DataFrame([4353,3242,46232], columns=['postcode'])

	postcode_checker = lambda x: (str(x)[0] == '4') and (len(str(x)) == 4)

	df.postcode.apply(postcode_checker)

	import pandas as pd

	df = pd.DataFrame(['M','F','U','different',2023], columns=['gender'])

	df[df.gender.isin(['M','F','U']) == False]