- Kafka: PubSub (Streaming Platform)
- RabbitMQ: PubSub e Enterprise Service Bus
- Service Bus (Azure)
KAFKA
- Mensagem
- Schemas
Em Dezembro vai rolar o maior evento de Microsoft MVPs da | |
América Latina (online)! | |
O valor dos ingressos será doad… https://t.co/CdbSb8z8Ux |
#pip3 install autokeras.pretrained | |
from autokeras_pretrained.text_classifier import SentimentAnalysis | |
sentiment_cls = SentimentAnalysis() | |
polarity = sentiment_cls.predict("Today I forgot my wallet.") | |
print("Polarity of the input sentence is (sentiment is positive if polarity > 0.5) : ", polarity) |
!pip install autokeras | |
!pip install keras | |
from keras.datasets import mnist | |
from autokeras.image.image_supervised import ImageClassifier | |
# loadning fashion-mnist from keras | |
(X_train, y_train), (X_test, y_test) = fashion_mnist.load_data() | |
X_train = X_train.reshape(X_train.shape + (1,)) | |
X_test = X_test.reshape(X_test.shape + (1,)) |
from flask import Flask, request, make_response, jsonify | |
app = Flask(__name__) | |
@app.route('/') | |
def index(): | |
return 'Hello World!' | |
def results(): | |
return {'fullfillmentText': 'This is a response from webhook'} |
#Clusters | |
#Distribuicao | |
set.seed(1909) | |
x = rnorm(15,mean = rep(1:3, each=5),sd = 0.2) | |
y = rnorm(15,mean = rep(c(1,2), each=5),sd = 0.2) | |
plot(x,y,col='blue',pch=19,cex=1) | |
text(x + 0.05, y + 0.05, labels=as.character(1:15)) | |
#Kmeans |
#Parábola Quadrática | |
x = -10:10 | |
plot( x = x, y = x**2, main = "Parábola") | |
plot( x = x, y = x**2, main = "Parábola", type='l') | |
plot( x = x, y = x**2, main = "Parábola", type='p') | |
plot( x = x, y = x**2, main = "Parábola", type='b') | |
plot( x = x, y = x**2, main = "Parábola", type='o') | |
plot( x = x, y = x**2, main = "Parábola", type='h') #histograma | |
plot( x = x, y = x**2, main = "Parábola", type='s') |
#Manipulação de dados | |
install.packages('dplyr') | |
library('dplyr') | |
head(starwars) | |
#Mutate | |
s2 <- mutate(starwars, | |
imc = mass / ((height / 100) ^ 2) ) |
#Obtendo dados com o R | |
pathName = "C:/Users/logonrmlocal/Documents/Aula/data"; | |
#Download | |
dir.create(pathName) | |
file.url = 'http://www.bcb.gov.br/pec/Indeco/Port/IE1-04.xlsx' | |
file.local = file.path('./Aula/data', basename(file.url)) | |
download.file(url = file.url, destfile = file.local , mode='wb') |
#Loop | |
AirPassengers | |
acumuladora = 0; | |
vetor = NULL; | |
for (passenger in AirPassengers) { | |
acumuladora = acumuladora + passenger; | |
vetor = c(vetor, acumuladora); |