shuding

The Journey of SWR and Suspense

We are trying to combine the idea of SWR ("stale-while-revalidate") and React Suspense together, and this write-up covers all our findings from this journey.

Background

When React Hooks launched, people started to rely on useEffect to initiate data fetching:

function User () {

jezhumble

# Copyright 2019 Google LLC.
# SPDX-License-Identifier: Apache-2.0
# This snippet shows you how to use Blob.generate_signed_url() from within compute engine / cloud functions
# as described here: https://cloud.google.com/functions/docs/writing/http#uploading_files_via_cloud_storage
# (without needing access to a private key)
# Note: as described in that page, you need to run your function with a service account
# with the permission roles/iam.serviceAccountTokenCreator

import os, google.auth
from google.auth.transport import requests

dyerrington

##
# Create a figure space matrix consisting of 3 columns and 2 rows
#
# Here is a useful template to use for working with subplots.
#
##################################################################
fig, ax = plt.subplots(figsize=(10,5), ncols=3, nrows=2)

left   =  0.125  # the left side of the subplots of the figure
right  =  0.9    # the right side of the subplots of the figure

itod

• Kinesis Freestyle (Terrible key switches. Mushy and un-lovable)

• Kinesis Freestyle Edge (Traditional layout with too many keys, mech switches, proably too big to be tented easily/properly)

• Matias Ergo Pro (Looks pretty great. Have not tried.)

• ErgoDox Kit (Currently, my everyday keyboard. Can buy pre-assembled on eBay.)

• ErgoDox EZ (Prolly the best option for most people.)

haf

# What's redux?

 - state + action -> reducer -> store -> connect (utils)(component) -> render
 - reducers are scoped to action types

## redux's connect function

Responsible for mapping { state, dispatch } to props as first curried parameter. Second curried parameter is the component.
=> export default connect(mS, mD)(Comp);

lefant

bayesian statistics and machine learning reading list

what is bayes rule, intro

https://arbital.com/p/bayes_rule/

hands on bayesian methods for hackers

http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/

sergeyf

import matplotlib.pyplot as plt
import numpy as np
import seaborn

from keras.layers import Input, Dense, merge, ELU, Dropout
from keras.models import Model
from keras.regularizers import l2
from keras import backend as K
from keras.optimizers import rmsprop, adam

lefant

software engineer at Sellpy

We are looking for a generalist, talented & enthusiastic about joining an early phase startup, looking to have a big impact on the product, design & architecture of our system.

Sellpy is one of Sweden’s fastest growing startups and have already helped thousands of people to sell the things they don’t use anymore. We want to revolutionize the way we sell used goods and make

dbp

dependencies:
  cache_directories:
    - "~/.stack"
  pre:
    - wget https://github.com/commercialhaskell/stack/releases/download/v0.1.2.0/stack-0.1.2.0-x86_64-linux.gz -O /tmp/stack.gz
    - gunzip /tmp/stack.gz && chmod +x /tmp/stack
    - sudo mv /tmp/stack /usr/bin/stack
  override:
    - stack setup
    - stack build

tabacof

from pymc import *
from scipy.stats import norm
import pylab as plt

# Same model as the tutorial    
n = 1000    
x1 = norm.rvs(0, 1, size=n)
x2 = -x1 + norm.rvs(0, 10**-3, size=n)
x3 = norm.rvs(0, 1, size=n)