Steven Cook eldritchideen
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| from zipline.algorithm import TradingAlgorithm | |
| from zipline.transforms import MovingAverage | |
| from zipline.utils.factory import load_from_yahoo | |
| from zipline.finance.slippage import FixedSlippage | |
| from zipline.finance.commission import PerShare | |
| from datetime import datetime | |
| import matplotlib.pyplot as plt | |
| class DualMovingAverage(TradingAlgorithm): |
- @fergbyrne
- HTM = Hierarchical Temporal Memory
- Slides
- big data is like teenage sex
- noone knows how to do it
- everyone thinks everyone else is doing it
Custom recipe to get OS X 10.10 Yosemite running from scratch, setup applications and developer environment. I use this gist to keep track of the important software and steps required to have a functioning system after a semi-annual fresh install. On average, I reinstall each computer from scratch every 6 months, and I do not perform upgrades between distros.
This keeps the system performing at top speeds, clean of trojans, spyware, and ensures that I maintain good organizational practices for my content and backups. I highly recommend this.
You are encouraged to fork this and modify it to your heart's content to match your own needs.
Hello, visitors! If you want an updated version of this styleguide in repo form with tons of real-life examples… check out Trellisheets! https://github.com/trello/trellisheets
“I perfectly understand our CSS. I never have any issues with cascading rules. I never have to use !important or inline styles. Even though somebody else wrote this bit of CSS, I know exactly how it works and how to extend it. Fixes are easy! I have a hard time breaking our CSS. I know exactly where to put new CSS. We use all of our CSS and it’s pretty small overall. When I delete a template, I know the exact corresponding CSS file and I can delete it all at once. Nothing gets left behind.”
You often hear updog saying stuff like this. Who’s updog? Not much, who is up with you?
| """ | |
| This is a batched LSTM forward and backward pass | |
| """ | |
| import numpy as np | |
| import code | |
| class LSTM: | |
| @staticmethod | |
| def init(input_size, hidden_size, fancy_forget_bias_init = 3): |
| # A functional FizzBuzz (without any integer modulus or division) in Elixir | |
| # https://pragprog.com/magazines/2012-08/thinking-functionally-with-haskell | |
| nums = Stream.iterate(1, &(&1 + 1)) | |
| fizz = Stream.cycle ["", "", "Fizz"] | |
| buzz = Stream.cycle ["", "", "", "", "Buzz"] | |
| fizzbuzz = Stream.zip(fizz, buzz) |> Stream.zip(nums) |> Stream.map(fn | |
| {{"", "" }, number} -> number | |
| {{fizzword, buzzword}, _number} -> fizzword <> buzzword | |
| end) | |
| fizzbuzz |> Stream.take(100) |> Enum.each(&IO.puts/1) |
A running example of the code from:
- http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang
- http://nesv.github.io/golang/2014/02/25/worker-queues-in-go.html
This gist creates a working example from blog post, and a alternate example using simple worker pool.
TLDR: if you want simple and controlled concurrency use a worker pool.
| // Usage: | |
| // Copy and paste all of this into a debug console window of the "Who is Hiring?" comment thread | |
| // then use as follows: | |
| // | |
| // query(term | [term, term, ...], term | [term, term, ...], ...) | |
| // | |
| // When arguments are in an array then that means an "or" and when they are seperate that means "and" | |
| // | |
| // Term is of the format: | |
| // ((-)text/RegExp) ( '-' means negation ) |