chriseidhof

Accessing an API using CoreData's NSIncrementalStore

Note: the original location of this article is on my blog, however, it is posted here too for better readability.

In this article, we will see how to use Core Data for accessing your API. We will use the Bandcamp API as our running example. I've only been experimenting with this code for a few days, so there might be mistakes in there.

dunkelstern

#!/bin/bash

if [ "$1" = "-l" ] || [ "$1" = "--line" ] ; then
        line=$2
        file=$3
else
        line=1
        file=$1
fi

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

sekati

# xcode-build-bump.sh
# @desc Auto-increment the build number every time the project is run. 
# @usage
# 1. Select: your Target in Xcode
# 2. Select: Build Phases Tab
# 3. Select: Add Build Phase -> Add Run Script
# 4. Paste code below in to new "Run Script" section
# 5. Drag the "Run Script" below "Link Binaries With Libraries"
# 6. Insure that your starting build number is set to a whole integer and not a float (e.g. 1, not 1.0)

Angles

Real iOS Apps in AppStore, with source on GitHub:

thanks 4 putting source for a noob to learn a little

I've used these:

• DocSets-for-iOS and paid 4 it too https://github.com/omz/DocSets-for-iOS/

• Real Time Congress

AnuragMishra

#import <Foundation/Foundation.h>
#include <time.h>
#include <xlocale.h>
#import "sqlite3.h"
#import "ISO8601DateFormatter.h"

#define LOG_DATE 0

static NSUInteger count = 1000000;

debasishg

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

SebastiaanLubbers

// SymSpell: 1000x faster through Symmetric Delete spelling correction algorithm
//
// The Symmetric Delete spelling correction algorithm reduces the complexity of edit candidate generation and dictionary lookup 
// for a given Damerau-Levenshtein distance. It is three orders of magnitude faster and language independent.
// Opposite to other algorithms only deletes are required, no transposes + replaces + inserts.
// Transposes + replaces + inserts of the input term are transformed into deletes of the dictionary term.
// Replaces and inserts are expensive and language dependent: e.g. Chinese has 70,000 Unicode Han characters!
//
// Copyright (C) 2012 Wolf Garbe, FAROO Limited
// Version: 1.6

nickloewen

This is a plain-text version of Bret Victor’s reading list. It was requested by hf on Hacker News.

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Highly recommended things!

This is my five-star list. These are my favorite things in all the world.

A few of these works have had an extraordinary effect on my life or way of thinking. They get a sixth star. ★