manashmandal

install.packages('ggplot2')
require(ggplot2)
df <- data.frame(Sentiment = c('Positive', 'Negative'), Count = c(174, 115))
ggplot(df, aes(Sentiment, Count)) + geom_bar(stat="identity")

manashmandal

# Dependencies:
# NLTK
# WordCloud
# Scikit-learn
# Matplotlib
# Scipy

# Python version: 2.7

%matplotlib inline

manashmandal

status_updates = ['JOIN ME FOR A FEW MINUTES IN PANAMA CITY BEACH, FLORIDA. This is a MOVEMENT like never seen before- and will never be seen again. This is our last chance- lets MAKE AMERICA SAFE AND GREAT AGAIN!', 'I would like to wish everyone who is observing the solemn and holy day of Yom Kippur an inspirational day of reflection. We hope that everyone’s prayers are answered and that we all have a year of peace, security, good health, prosperity and blessings.  -DJT', 'JOIN ME FOR A FEW MINUTES IN PANAMA CITY BEACH, FLORIDA. This is a MOVEMENT like never seen before- and will never be seen again. This is our last chance- lets MAKE AMERICA SAFE AND GREAT AGAIN!', 'I would like to wish everyone who is observing the solemn and holy day of Yom Kippur an inspirational day of reflection. We hope that everyone’s prayers are answered and that we all have a year of peace, security, good health, prosperity and blessings.  -DJT', 'Great morning in San Antonio, Texas - GREAT afternoon in Dallas, Texas. Departing now

manashmandal

import pandas as pd
import geoip2.database

mmdb_path = 'C:\\Users\\Manash\\Downloads\\Compressed\\GeoLite2-Country.mmdb\\GeoLite2-Country.mmdb'
ipaddress_path = 'C:\\Users\\Manash\\Downloads\\IP_Address.csv'

ipdf = pd.read_csv(ipaddress_path)
reader = geoip2.database.Reader(mmdb_path)

for ip in ipdf['IP Address']:

manashmandal

#http://stackoverflow.com/questions/26177620/how-to-execute-scrapy-shell-url-with-notebook

import requests
from scrapy.http import TextResponse

r = requests.get('http://stackoverflow.com/')
response = TextResponse(r.url, body=r.text, encoding='utf-8')

manashmandal

x1,x2,x3,x4,x5
1,2,3,4,5
2,3,4,5,6
4,5,6,6,7

manashmandal

require('foreign')

spss_data <- read.spss('file.sav', use.value.labels = TRUE)

write.csv(spss_data, 'out_file.csv')

manashmandal

manashmandal

http://www.esp8266.com/wiki/doku.php?id=getting-started-with-the-esp8266

manashmandal

#define BAUD 9600
 
class LM35 {
  private:
    byte pin;
    unsigned int reading;
   
  public:
    LM35(byte pin){
      pin = pin;