BrianHicks

BrianHicks

Think Python

Chapters 4-6

Chapter 4

Case study: Turtle

4.2 (Flowers)

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Data Storage and Syncing with LevelDB

So here's a thought for a Go interface that would store data to memory or disk and sync it with other instances in an intermittently connected manner.

Querying

The store looks like this:

type Range struct {

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from datetime import datetime

class W(object):
    def __getattr__(self, attr):
        def meta(*args, **kwargs):
            def inner(value):
                return getattr(value, attr)(*args, **kwargs)
            return inner
        return meta
    

BrianHicks

Think Python

Chapters 9-12

Chapter 9

Word Play

DEMO

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"""\
TinyObj does the bare minimum to make a nice object layer on top of datastores
which return dicts. It can set defaults, validate data types, and provides a
dot-access style interface for getting and setting attributes (truthfully,
because it just sprinkles a little magic Python dust over the dicts so they are
full Python objects with all of those qualities.)
"""
import datetime

class Field(object):

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# I'd like to be able to define a service something like the following...
name = "Some Python Webapp"

[environment.production]
DJANGO_SETTINGS_MODULE=testapp.settings.production

[environment.staging]
DJANGO_SETTINGS_MODULE=testapp.settings.staging

[[service]]

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Keybase proof

I hereby claim:

• I am brianhicks on github.
• I am brianhicks (https://keybase.io/brianhicks) on keybase.
• I have a public key whose fingerprint is 8638 C01E DE05 F97D A7A6 89E2 FF1F 407C 0D3C 2430

To claim this, I am signing this object:

BrianHicks

fakemail: python fakemail.py localhost ${MAIL_PORT:-4467}

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import random

sherlock = open('sherlock-normalized.txt', 'r').read()
sherlock[100:200]

# look at each word (DONE)
# look at the next word in the sequence
# add the next word to the list of words following the first word

class Markov(object):