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@staltz
staltz / introrx.md
Last active May 20, 2024 14:59
The introduction to Reactive Programming you've been missing
@davebarkerxyz
davebarkerxyz / rebuild_search_indices.py
Last active May 19, 2020 07:43
Rebuild Flask-WhooshAlchemy search indices
#!/usr/bin/env python
import datetime
from app import app, models
import whoosh
import flask_whooshalchemy
"""
Rebuild all Whoosh search indices
@tsiege
tsiege / The Technical Interview Cheat Sheet.md
Last active May 19, 2024 17:40
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






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@P7h
P7h / jdk_download.sh
Last active May 21, 2024 02:10
Script to download JDK / JRE / Java binaries from Oracle website from terminal / shell / command line / command prompt
##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### ##### #####
### Shell script to download Oracle JDK / JRE / Java binaries from Oracle website using terminal / command / shell prompt using wget.
### You can download all the binaries one-shot by just giving the BASE_URL.
### Script might be useful if you need Oracle JDK on Amazon EC2 env.
### Script is updated for every JDK release.
### Features:-
# 1. Resumes a broken / interrupted [previous] download, if any.
# 2. Renames the file to a proper name with including platform info.
// Q sample by Jeff Cogswell
/*===========
We want to call these three functions in sequence, one after the other:
First we want to call one, which initiates an ajax call. Once that ajax call
is complete, we want to call two. Once two's ajax call is complete, we want to call three.
BUT, we don't want to just call our three functions in sequence, as this quick
demo will show. Look at this sample function and think about what order
@idosela
idosela / http-response-interceptor.js
Last active February 25, 2024 12:51
Sample code for ng-conf 2014
angular.module('myMdl', []).config(['$httpProvider', function($httpProvider) {
$httpProvider.responseInterceptors.push([
'$q', '$templateCache', 'activeProfile',
function($q, $templateCache, activeProfile) {
// Keep track which HTML templates have already been modified.
var modifiedTemplates = {};
// Tests if there are any keep/omit attributes.
var HAS_FLAGS_EXP = /data-(keep|omit)/;
@jeffcogswell
jeffcogswell / q_example.js
Last active August 12, 2022 01:22
Here's another chaining example on using q.js. This doesn't have any error handling, as I just want to demonstrate the chaining concept. Please read the comments carefully, as I start out with a non-q example, to show the order of flow. Please post comments if there's anything that isn't clear and I'll try to revise it as needed.
// Q sample by Jeff Cogswell
/*===========
We want to call these three functions in sequence, one after the other:
First we want to call one, which initiates an ajax call. Once that
ajax call is complete, we want to call two. Once two's ajax call is
complete, we want to call three.
BUT, we don't want to just call our three functions in sequence, as this quick
@jeremyfelt
jeremyfelt / open-source-search-compare.md
Last active July 19, 2023 01:28
Comparing open source search solutions
@AhmedElSharkasy
AhmedElSharkasy / best_practices
Last active April 8, 2019 14:53
Rails 3 AntiPatterns, Useful snippets and Recommended Refactoring. Note: Some of them are collected from different online resources/posts/blogs with some tweaks.
Rails as it has never been before :)
Rails 3 AntiPatterns, Useful snippets and Recommended Refactoring.
Note: Some of them are collected from different online resources/posts/blogs with some tweaks.
@debasishg
debasishg / gist:8172796
Last active May 10, 2024 13:37
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. 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.
  2. Models and Issues in Data Stream Systems
  3. 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
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t