git rebase --interactive HEAD~2
pick bf7416a commit-2
pick fbc0ef9 commit-3
DevOps started out as "Agile Systems Administration". In 2008, at the Agile Conference in Toronto, Andrew Shafer posted an offer to moderate an ad hoc "Birds of a Feather" meeting to discuss the topic of "Agile Infrastructure". Only one person showed up to discuss the topic: Patrick Debois. Their discussions and sharing of ideas with others advanced the concept of "agile systems administration". Debois and Shafer formed an Agile Systems Administrator group on Google, with limited success. Patrick Debois did a presentation called "Infrastructure and Operations" addressing
System: Debian/Ubuntu/Fedora. Might work for others as well.
As mentioned here, to update a go version you will first need to uninstall the original version.
To uninstall, delete the /usr/local/go
directory by:
from keras.layers import Dense, Dropout, LSTM, Embedding | |
from keras.preprocessing.sequence import pad_sequences | |
from keras.models import Sequential | |
import pandas as pd | |
import numpy as np | |
input_file = 'input.csv' | |
def load_data(test_split = 0.2): | |
print ('Loading data...') |
#include <iostream> | |
#include <pthread.h> | |
#include <semaphore.h> | |
#include <random> | |
#include <unistd.h> | |
using namespace std; | |
#define BUFFER_SIZE 10 |
import lombok.SneakyThrows; | |
import lombok.extern.log4j.Log4j2; | |
import org.apache.logging.log4j.Level; | |
import org.openqa.selenium.By; | |
import org.openqa.selenium.WebDriver; | |
import org.openqa.selenium.chrome.ChromeDriver; | |
@Log4j2 | |
public class Example { | |
@SneakyThrows |
from __future__ import print_function | |
import json | |
import os | |
import numpy as np | |
from gensim.models import Word2Vec | |
from gensim.utils import simple_preprocess | |
from keras.engine import Input | |
from keras.layers import Embedding, merge |
#!/bin/bash | |
# --------------------------------------------------------- | |
# Customizable Settings | |
# --------------------------------------------------------- | |
MOUNT_POINT="${CASE_SAFE_MOUNT_POINT:-${HOME}/casesafe}" | |
VOLUME_PATH="${CASE_SAFE_VOLUME_PATH:-${HOME}/.casesafe.dmg.sparseimage}" | |
VOLUME_NAME="${CASE_SAFE_VOLUME_NAME:-casesafe}" | |
VOLUME_SIZE="${CASE_SAFE_VOLUME_SIZE:-60g}" |
from gensim import models | |
sentence = models.doc2vec.LabeledSentence( | |
words=[u'so`bme', u'words', u'here'], tags=["SENT_0"]) | |
sentence1 = models.doc2vec.LabeledSentence( | |
words=[u'here', u'we', u'go'], tags=["SENT_1"]) | |
sentences = [sentence, sentence1] | |
class LabeledLineSentence(object): |