- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
If you're here just for the section on vscode working with Python on WSL, jump here.
Windows is now a development environment that can compete with Mac and Linux. Windows Subsystems for Linux lets you have an Ubuntu (or other Linux flavor) installation that works near seemlessly inside of Windows. Hyper Terminal running WSL's Bash and Visual Studio Code feel really nice to code in. These are instructions for getting set up and smoothing out most of the remaining rough edges. I've included a section on getting vscode to work well with Python and WSL, but the general pattern should be usable for any unsupported language (as of now, I believe it's only Node.js that has WSL support in vscode).
from flask import Flask | |
from flask.ext.sqlalchemy import SQLAlchemy | |
from flask.ext.wtf import Form | |
from flask.ext.babel import gettext | |
from wtforms import SelectField, TelField, TextField, FormField, Fieldlist, SubmitField | |
from wtforms.validators import Optional, Required | |
app = Flask(__name__) | |
db = SQLAlchemy(app) |
Handy helpers for controlling visibility of elements until Vue has compiled.
Use like:
<div v-cloak>
<h1>
<span class="v-cloak--inline">Loading...</span> <!-- Only displayed before compiling -->
<span class="v-cloak--hidden">{{ post.title }}</span> <!-- Hidden until compiling is finished -->