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#!/bin/sh
mkdir ~/down/
cd ~/down/
sudo apt-get install build-essential
wget http://www.python.org/ftp/python/2.7.2/Python-2.7.2.tgz
tar -xzf Python-2.7.2.tgz
cd Python-2.7.2
sudo apt-get install libsqlite3-dev zlib1g-dev libncurses5-dev
sudo apt-get install libgdbm-dev libbz2-dev libreadline5-dev
sudo apt-get install libssl-dev libdb-dev

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# Sort a list of dictionary objects by a key - case sensitive
from operator import itemgetter
mylist = sorted(mylist, key=itemgetter('name'))

# Sort a list of dictionary objects by a key - case insensitive 
mylist = sorted(mylist, key=lambda k: k['name'].lower())

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package fx.jvm.hotspot.tools;

import java.util.List;

import sun.jvm.hotspot.tools.Tool;

public class PrintThreadIds extends Tool {
    public static void main(String[] args) {
        PrintThreadIds tool = new PrintThreadIds();
        tool.start(args);

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# Mathieu Blondel, September 2010
# License: BSD 3 clause

import numpy as np
from numpy import linalg
import cvxopt
import cvxopt.solvers

def linear_kernel(x1, x2):
    return np.dot(x1, x2)

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Below are the Big O performance of common functions of different Java Collections.


List                 | Add  | Remove | Get  | Contains | Next | Data Structure
---------------------|------|--------|------|----------|------|---------------
ArrayList            | O(1) |  O(n)  | O(1) |   O(n)   | O(1) | Array
LinkedList           | O(1) |  O(1)  | O(n) |   O(n)   | O(1) | Linked List
CopyOnWriteArrayList | O(n) |  O(n)  | O(1) |   O(n)   | O(1) | Array

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The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

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antoine-tran

# Working example for my blog post at:
# http://danijar.com/variable-sequence-lengths-in-tensorflow/
import functools
import sets
import tensorflow as tf
from tensorflow.models.rnn import rnn_cell
from tensorflow.models.rnn import rnn


def lazy_property(function):

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Toc

Keyboard shortcuts

The IPython Notebook has two different keyboard input modes. Edit mode allows you to type code/text into a cell and is indicated by a green cell border. Command mode binds the keyboard to notebook level actions and is indicated by a grey cell border.

MacOS modifier keys:

• ⌘ : Command

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//
//  Example of Using AVAudioPlayer 
//    to play a buffer of (synthesized) audio samples from memory
//    by converting a [Float] buffer into an in-memory WAV file
//
//  Copyright © 2019 Ronald H Nicholson Jr. All rights reserved.
//  (re)Distribution permitted under the 3-clause New BSD license.
//

import Foundation