rajacsp

import pandas as pd
import random

from faker import Faker
faker = Faker()

COUNT = 1000000

def generate_names(count, type):

rajacsp

How to setup TactNotes?

Mirror the TactNotes repo:
git clone --bare git@github.com:tactlabs/tactnotes.git
cd tactnotes.git
git push --mirror git@github.com:abc/mynotes.git
cd ..
rm -rf tactnotes.git

Clone your git repo now:

rajacsp

package com.learned;

import java.sql.Connection;
import java.sql.SQLException;

import com.mysql.cj.jdbc.MysqlDataSource;

public class ConnectionManager {
	
	public static final String serverTimeZone = "UTC";

rajacsp

package org.rj;

import java.sql.*; 

public class Oracle12CEETest {

	private final static String DB_URL = "jdbc:oracle:thin:@//127.0.0.1:1521/orcl";
	private final static String USER = "system";
	private final static String PASS = "oracle";

rajacsp

Postgres-Docker Installation:

docker pull postgres

mkdir -p $HOME/docker/volumes/postgres

docker run --name pgdocker -e POSTGRES_PASSWORD=postgres -d -p 5432:5432 -v $HOME/docker/volumes/postgres:/var/lib/postgresql/data  postgres

docker exec -it pgdocker bash

rajacsp

# update brew because `brew update` is broken after updating to El Capitan
cd `brew --prefix`
git fetch origin
git reset --hard origin/master
sudo shutdown -r now # restart the computer


# open terminal and run the following
brew update
brew cleanup

rajacsp

alias blah="/usr/bin/blah"
  
alias lh="ls -hal"

alias hiry="history"

alias clearme="history -c"

alias cls="clear"

rajacsp

import os 
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem import PorterStemmer

porter_stemmer = PorterStemmer()

def get_dir():
    dir_path = os.path.dirname(os.path.realpath(__file__))

rajacsp

from nltk.sentiment.vader import SentimentIntensityAnalyzer


sid = SentimentIntensityAnalyzer()

def get_sentiment(sentence):

    sentiment_score = sid.polarity_scores(sentence)

rajacsp

from nltk.sentiment.vader import SentimentIntensityAnalyzer


sid = SentimentIntensityAnalyzer()

def get_sentiment(sentence):
        
    return sid.polarity_scores(sentence)