arangates

function toHttpParams(params) {
    return Object.getOwnPropertyNames(params)
                 .reduce((p, key) => p.set(key, params[key]), new HttpParams());
}
// Example:
toHttpParams({firstName: 'John', lastName: 'Doe'});

arangates

Copied from http://code.lancepollard.com/complete-list-of-html-meta-tags/

Basic HTML Meta Tags

<meta name="keywords" content="your, tags"/>
<meta name="description" content="150 words"/>
<meta name="subject" content="your website's subject">
<meta name="copyright"content="company name">
<meta name="language" content="ES">

arangates

import { Injectable } from '@angular/core';
import { Meta, Title } from '@angular/platform-browser';

export interface TypingSEO {
  title?: string;
  titleSuffix?: string;
  description?: string;
  image?: string;
  keywords?: string;
  url?: string;

arangates

[
  {
    "id": 0,
    "title": 1.1,
    "devanagari": "धृतराष्ट्र उवाच ।\nधर्मक्षेत्रे कुरुक्षेत्रे समवेता युयुत्सवः\nमामकाः पाण्डवाश्चैव किमकुर्वत सञ्जय ॥ १.१ ॥",
    "verse_text": "dhṛtarāṣṭra uvāca\ndharma-kṣetre kuru-kṣetre\nsamavetā yuyutsavaḥ\nmāmakāḥ pāṇḍavāś caiva\nkim akurvata sañjaya",
    "verse_text_no_samdhis": "dhṛtarāṣṭraḥ uvāca dharma kṣetre kuru kṣetre samavetāḥ yuyutsavaḥ māmakāḥ pāṇḍavāḥ ca eva kim akurvata sañjaya"
  },
  {
    "id": 1,

arangates

{
  "1": "Chapter 1",
  "2": "Chapter 2",
  "3": "Chapter 3",
  "4": "Chapter 4",
  "5": "Chapter 5",
  "6": "Chapter 6",
  "7": "Chapter 7",
  "8": "Chapter 8",
  "9": "Chapter 9",

arangates

import java.io.UnsupportedEncodingException;

import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;

import java.util.Arrays;

import javax.crypto.Cipher;
import javax.crypto.spec.SecretKeySpec;
import javax.crypto.spec.IvParameterSpec;

arangates

from __future__ import division

# Define the data
data = set()
count = int(raw_input("Enter the number of data points: "))
for i in range(count):
    x=float(raw_input("X"+str(i+1)+": "))
    y=float(raw_input("Y"+str(i+1)+": "))
    data.add((x,y))

arangates

import librosa
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import os
import csv
# Preprocessing
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder, StandardScaler

arangates

# <------------------------NORMAL FUNCTION -------------------------------->

        # # Build and return a list
        # def getKeys(data):
        #     return list(data.keys())

        # obj = { 'bar': "hello", 'baz': "world" }
        # keys_list = getKeys(obj)

# <------------------------BEHIND THE SCENE ------------------------------->

arangates

# change default terminal
sudo update-alternatives --config x-terminal-emulator

# list shells

cat /etc/shells

# change default shell

chsh -s $(which shellname)