gembin

Previous versions used homebrew to install the various versions. As suggested in the comments, it's better to use pyenv instead. If you are looking for the previous version of this document, see the revision history.

$ brew update
$ brew install pyenv
$ pyenv install 3.5.0
$ pyenv install 3.4.3
$ pyenv install 3.3.6
$ pyenv install 3.2.6
$ pyenv install 2.7.10

$ pyenv install 2.6.9

gembin

|----------------------------------------------------------------------------------------|--------------------|
|                                    Object Header (64 bits)                             |        State       |
|-------------------------------------------------------|--------------------------------|--------------------|
|                  Mark Word (32 bits)                  |      Klass Word (32 bits)      |                    |
|-------------------------------------------------------|--------------------------------|--------------------|
| identity_hashcode:25 | age:4 | biased_lock:1 | lock:2 |      OOP to metadata object    |       Normal       |
|-------------------------------------------------------|--------------------------------|--------------------|
|  thread:23 | epoch:2 | age:4 | biased_lock:1 | lock:2 |      OOP to metadata object    |       Biased       |
|-------------------------------------------------------|--------------------------------|--------------------|
|               

gembin

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

gembin

// The following code is from http://www.academicpub.org/PaperInfo.aspx?PaperID=14496 .
import java.math.BigInteger;
import java.security.*;
import java.security.spec.*;
import javax.crypto.KeyAgreement;

public class ECCKeyAgreement {
  public static void main(String[] args) throws Exception {
    KeyPairGenerator kpg;
    kpg = KeyPairGenerator.getInstance("EC","SunEC");

gembin

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "freertos/FreeRTOS.h"
#include "freertos/task.h"
#include "esp_wifi.h"
#include "esp_event.h"
#include "lwip/inet.h"
#include "lwip/ip4_addr.h"
#include "lwip/dns.h"

gembin

package selly.spring.data.convert;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.springframework.beans.factory.config.BeanDefinition;

gembin

# redirect output and errors into file output.log:
nohup some_command > output.log 2>&1&

# abbreviated syntax for bash version >= ver.4:
nohup some_command &> output.log

gembin

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

gembin

Motivation

tl;dr I want to use Rust to program robots. Help me find the best core libraries to build on.

Robotic systems require high performance and reliability, but also have enormous complexity in terms of algorithms employed, number of subsystems, embedded hardware control, and other metrics. Development is mostly split between C++ for performance and safety critical components, and MatLab or Python for quick research or task iteration.

gembin

That's our RC:

$ cat ws-rc.yaml
apiVersion: v1
kind: ReplicationController
metadata:
  name: webserver-rc
spec:
  replicas: 5

selector: