How to Embed Google Form in Website

This is how you embed a Google Form in an HTML page so that users can interact with the form directly in the page rather than having to press a link and navigate to the form in a separate window.

In the Google Form page, press the “Send” button at the top right

On the “Send form” popup, navigate to the Embed HTML tab.

Update the width and height of the form to fit the window you are going to put it in

Copy the iframe code

Paste it into the code for the HTML page you are putting the form in.


<h1>This is a form</h1>

<iframe src="" width="640" height="1395" frameborder="0" marginheight="0" marginwidth="0">Loading…</iframe>


Django Error While Trying to Create Superuser


When I tried to run this command: python createsuperuser in my Django project, it gave me a super long error which included the following:

File “”, line 22, in
File “”, line 18, in main
File “/Users/username/.local/share/virtualenvs/django-learn-csZU2bYZ/lib/python3.8/site-packages/django/core/management/”, line 364, in execute_from_command_line


ImportError: cannot import name ‘path’ from ‘django.urls’ (/Users/username/.local/share/virtualenvs/django-learn-csZU2bYZ/lib/python3.8/site-packages/django/urls/


The problem in my case was that I had the wrong version of Django installed. In order to run the python createsuperuser command you need at least Django 2.

Run this command to check the version of Django you are currently working with:

python -m django --version 

Run this command to install the latest version of Django.

pip install --upgrade django

Run the python -m django --version command again and make sure your new Django version is 2.x or above. If so, you should be able to run python createsuperuser now

How to Set Up a New Django Project

Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. It is one of the most popular Python backend development frameworks. It is known for its security, simplicity, and reliability. It is without a doubt one of the best frameworks to learn.

Note: You must have Python 3 or later installed on your computer to complete this tutorial.

Create a new empty project. The first thing we need to do is install Django in our new project. You might be tempted to do it using the command pip install django, but I would advise against this because it installs the Django package on your global system rather than just in this specific project.

Instead, you should use a tool called pipenv, which allows you to set up a virtual environment for each Python project that you create on your system. Install it globally by running this command:

pip install pipenv

With pipenv installed, run this command in your project folder to create a virtual environment.

pipenv shell

Any packages we install, including Django, will be installed into this virtual environment rather than on our global system. This command will also generate a Pipfile in your project directory. This Pipfile will list any packages that you install in the virtual environment.

Run this command to install Django in the virtual environment

pipenv install django

In Django, a project is basically the overall website/application. Then, you have the concept of apps; there are usually multiple apps in each project.

Run this command to create a new project (put your project’s name in place of project-name):

django-admin startproject project-name 
cd project-name 

Inside your new project folder, you should see a second folder with the same project name and a file. You rarely change any of the code in the file, but you will use this file all the time. We use this file to run the server, create migrations, and carry out many other commands.

Once inside the project folder we just created, run this command to run the server on http: (port 8000):

python runserver
# ctrl+c to stop

To run the server on a different port

python runserver 8081

You will probably get the below error. The cause of the error is that there are migrations ready to create the default, necessary database tables that Django uses that have not been applied.

To apply them, we run this command:

python migrate

Now, your server should be up and running with no errors. If you type localhost:8000 (or whichever port your project is running on) in your browser, you should see this default Django page.

You’ve officially created your first Django project. The next step is to start adding apps to your project. Stay tuned for a tutorial on that.

Python Tutorial: Web Scraping with BeautifulSoup and Requests

Web scraping is the process of automatically extracting data from a website.

You will need an understanding of basic HTML page structure in order to grasp this tutorial. Web scraping with BeautifulSoup to get data/text from a page is done by referencing specific HTML semantic tags, classes, and ids on that page and getting the data from within them. You will better understand what I mean as we continue.

BeautifulSoup is the Python package we are going to use to do the web scraping. Requests is a package that allows you to send HTTP/1.1 requests extremely easily.

In this tutorial, we are going to be parsing the information from the daily forecast element on the Orlando, FL weather page on (this is the link). We will transfer the information to a structured, table format using Pandas.

The picture below shows the div element which holds the daily forecast information for the week. When you view this tutorial, the numbers will probably not be the same but, other than that, you should see something that looks like this. This is the element we are going to be scraping.

In Terminal, create a new folder with mkdir, cd into the folder, and create a .py file. I will call mine This file will contain the code for the scraper.

In the next lines, we are installing some necessary dependencies using pip, the Python package manager, into our project folder.

mkdir project-folder
cd project-folder
pip install beautifulsoup4
pip install requests
pip install pandas

Open up the file in a Code Editor.

First, we will add the import statements to our file for the packages we just installed using pip:

from bs4 import BeautifulSoup
import requests

Ok, let’s start writing the code. First, write the following line:

page = requests.get('')

This line uses the request package to get the HTML page of the URL in quotes. In this case, we are using a page on the site.

Next, write this line:

soup = BeautifulSoup(page.content, 'html.parser')

This line initializes BeautifulSoup in our project. Now, we can use the soup variable to access the functions within the BeautifulSoup package. The first parameter in the statement is what you want to scrape (in this case, the content of the page we got earlier) and the second parameter just tells BeautifulSoup that it will be parsing HTML.

Now, if you are using Google Chrome, you can Inspect the page and find the id of the div element which holds the data you want to scrape.

As you can see from the above image, I found that the div containing the Daily Forecast information had an id of “WxuDailyWeatherCard-main-bb1a17e7-dc20-421a-b1b8-c117308c6626”

After getting the id of the div element which holds the data we want, we are defining a reference to the div element with the following line:

week = soup.find(id='WxuDailyWeatherCard-main-bb1a17e7-dc20-421a-b1b8-c117308c6626')

Now we can use the variable week to reference the Daily Forecast div.

Using Inspect again, I found that the actual content within the div element is stored in a elements with a class of “Column–innerWrapper–3K14X”.

We can get access to all 5 (one for each day of the week) of these a tag items using the find_all function.

items = week.find_all(class_='Column--innerWrapper--3K14X')

Now, we can get access to the data within the items array. We will make an array of the dates within the items array using this line:

date = [item.find('h3', class_='Column--label--L3RrD').get_text() for item in items]

Using the same process as before, I found that all the dates were stored in a h3 with a class of ‘Column–label–L3RrD’. The above line creates an array of dates by running the find() method on every item within the items array.

Now, we can do this for the temperature and chance of rain data stored in the items array.

temp = [item.find(class_='Column--temp--2v_go').get_text() for item in items]

chanceOfRain = [item.find(class_='Column--precip--2H5Iw').get_text() for item in items]

Now, you can access the date, temperature, and chance of rain data with the variables we just created!

Pandas Addition

As an extra, you can put the weather data we just scraped into a simple Panda’s data frame so that it looks better.

First, install the Pandas package and import Pandas at the top of your file.

import pandas as pd

Under the data definitions, write this line. This line creates a data frame in the variable weather_info with the data.

weather_info = pd.DataFrame({
    'Date': date,
    'Temp': temp,
    'Chance Of Rain': chanceOfRain

You can print the weather info to see your data outputted in a table format


And that’s it! You’re done. Here is the full code:

Here is the expected output– a Pandas data frame. You can do some research and see how to make it look better:

Helpful Terminal Commands

Using the Terminal or Command Line will prove to be a super handy and important aspect of your software development process. Here are a few commands that will most definitely be useful for you when using the Terminal. I’m using a Mac.

Make a new folder

mkdir folder-name

Go into folder (only up 1 level)

cd folder-name

To cd into a folder with a space in the name, use the backslash character between the words

cd Software\ Development

Go backwards by one level in the folder system

cd ..

Go to your computer’s root directory

cd ~

Clear the Terminal window (just for declutter)


See the contents of a folder


See the hidden files in a folder

ls -a

Copy file to a different directory. This line copies the file file-name.txt to the directory/file one above the current directory/file.

cp file-name.txt ../

Rename a file

mv file-name.txt NEW-FILE-NAME.txt

Remove file from current directory

rm file-name.txt

Shows where an application lies in your file system. In this example, we are seeing the location of the Git application. This command will either return the file system location if the application exists on your machine or no output if there is no application with that name on your machine

which application-name
which git

Shows where you are currently in your file system


Basically a print statement but in the Terminal

echo hello

Make a new file and put the defined text inside of it. In this case, we put the text hello in a file called hello.txt

echo hello > hello.txt

Setting up a Free Postgres Database in Heroku w/ PgAdmin

Step 1: Log into Heroku

Step 2: Create a New App

Create a new Heroku app by either clicking “Create a new app” in the center of the screen or “New” at the top right of the screen.

Choose an App Name and the Region (either the US or Europe) for your new app. The name can be anything you want. Then, just click the Create app button.

Step 3: Add a PostgreSQL Database

To attach a PostgreSQL database to the blank app you just made, you need to go to the Resources tab in the header of the new app’s dahsboard. Then type Heroku Postgres into the Add-ons search field. When shown, select the suggested Heroku Postgres add-on from the dropdown:

The next popup asks you to choose a pricing plan for the database. Select the Hobby Dev – Free plan and click Provision.

Now your PostgreSQL database is up !

Step 4: Get Heroku DB Information

To find the credentials and the connection URL for the PostgreSQL database, make sure you’re still in the Resources tab and click on the Heroku Postgres resource we just added.

That should bring you to this screen:

Select the Settings tab in the header of that screen. You will be navigated to a page where Here, you can click the View Credentials button to see the credentials of your PostgreSQL database.

You will need these values to input into your PgAdmin interface

Step 5: Configure PgAdmin w/ Heroku DB Credentials

Open up PgAdmin

Right-click on Servers at the very top of the left-side panel

Choose Create > Serve

Fill out the new server form with all of the corresponding information from the Heroku View Credentials page.

After you save the new server, it will become populated with a huge list of databases. You will not have access to any of them except the one with your Database name from Heroku. Scroll through and find this one.

Then, as you would with any other PgAdmin database, go to Schemas > public > Create new Table. Populate this table with the fields you want.

You’re all set.

How to Execute a Python Script in a Node.js Project

This tutorial assumes that you’ve already set up a basic Node.js project with Express. I have other tutorials explaining how to do this if you don’t know how.

First, create a new python file in your Node project directory. I will call mine In, I will write a simple Python print statement to test.

print("Hello world")

In my main JavaScript file, I’m going to add the bolded line:

const express = require('express');
const { spawn } = require('child_process');

const app = express();

app.get('/', (req, res) => {
   console.log('Hello world');

app.listen(4000, console.log('Server started on port 4000'));

In the code above, we set up a basic Express app with one get router. Pay attention to the bolded line:

const { spawn } = require('child_process');

Next, we will use the new spawn class that we imported with this line from the child_process library.

In the get router, add the following lines:

app.get('/', (req, res) => {
   const childPython = spawn('python', ['']);

   childPython.stdout.on('data', (data) => {
      console.log(`stdout: ${data}`)

   childPython.stderr.on('data', (data) => {
      console.error(`stderr: ${data}`);

   childPython.on('close', (code) => {
      console.log(`child process exited with code ${code}`);

In the above code, spawn a new child_process with parameters ‘python‘ and ‘‘. We set this to an object called childPython:

const childPython = spawn('python', ['']);

The first parameter is the program we want to call and the second is an array of strings that will use the python program. It is the same command if you wanted to write it in a shell to run the python ''

The first event is:

childPython.stdout.on('data', (data) => {
      console.log(`stdout: ${data}`)

The data argument that we are receiving from the callback function will be the output of the Python code we wrote in We could also get access to the outputs this way. In the code below, we have to either return or console.log the dataToSend.

python.stdout.on('data', function (data) {
   dataToSend = data.toString();

If this event fails, the error event will be called:

childPython.stderr.on('data', (data) => { 
    console.error(`stderr: ${data}`);

This is the final event. The close event is emitted (run) when the stdio streams of a child process have been closed:

childPython.on('close', (code) => {
   console.log(`child process exited with code ${code}`);

Here’s another example of a very basic program. This program will generate a random number between 0 and 9 (inclusive):

The contents of file:

import random 

def generate():
    return random.randint(0, 9)


The contents of index.js file:

const express = require('express');
const { spawn } = require('child_process');

const childPython = spawn('python', ['']);

childPython.stdout.on('data', (data) => {
    console.log(`The new random number is: ${data}`)

childPython.stderr.on('data', (data) => {
    console.error(`There was an error: ${data}`);

childPython.on('close', (code) => {
    console.log(`child process exited with code ${code}`);

const app = express();

const PORT = process.env.PORT || 4000;
app.listen(PORT, console.log(`Server started on port ${PORT}`));

The output should look something like this:

How to Build a Node.js Project for Beginners

First, make sure you have Node installed. I’m not going to show how to do that in those tutorial. For developers that already know how to use Node, this tutorial can serve as a guide to help jog your memory whenever you forget all the steps to building a new Node.js project.

Once you have Node installed, you can write these commands in Terminal to get started:

mkdir folder-name    (create a new folder)
npm init             (initialize Node Package Manager)
touch index.js       (create server file)

For the npm init step, it will make you click through a bunch of prompts/set-up questions to set up NPM in your folder.

For your server file, it doesn’t matter what it’s name is as long as you make sure it has the same name as the one you defined in the NPM initialization questions.

In Terminal within your project directory, add these NPM packages to your project using the command npm i or npm install

npm i express         (install express - a Node web framework)
npm i -D nodemon      (install nodemon as a dev dependency)

Open up your server file (index.js) in a code editor (I prefer Visual Studio Code) and type this Node code:

const express = require('express');

const app = express();

const PORT = process.env.PORT || 4000;

app.listen(PORT, console.log(`Server started on port ${PORT}`));

The Express framework is the most popular Node backend web framework by far and it will make working with Node for the web 100x easier.

To run this and make sure it works, type this command in your Terminal (make sure your in your project directory):

nodemon index.js

The Terminal should output the string “Server started on port 4000” (or port 5000, 6000, etc. based on what you put in your code).

This means that the project is running on the specified port on your localhost.

Sequelize with PostgreSQL with Node

Import the Sequelize module into your Node project

npm i sequelize

Add the specific database driver to coincides with the SQL DBMS that you are using:

npm i --save pg pg-hstore   

Connect to the database in your Node application

Option 1: Passing a connection URI

const sequelize = new Sequelize('postgres://') 

module.exports = sequelize;

Option 2: Passing parameters separately (other dialects)

const sequelize = new Sequelize('database', 'username', 'password', {    
   host: 'localhost', 
   dialect: 'postgres'

module.exports = sequelize;

Test the connection

try { 
   await sequelize.authenticate(); 
   console.log('Connection has been established successfully.'); 
} catch (error) { 
   console.error('Unable to connect to the database:', error); 

Create a new model

The db variable is imported from the Sequelize connection above (Opt 1 or 2) which we are assuming is in a separate file.

const Sequelize = require('sequelize');
const db = require('../config/database');

const Person = db.define('gig', {
   name: {
      type: Sequelize.STRING
   age: {
      type: Sequelize.INTEGER
   description: {
      type: Sequelize.STRING

module.exports = Person;

Start making Sequelize queries in server routes

The beauty of Sequelize is that it allows you to use object-oriented syntax to make queries to relational/SQL databases.

app.get('/', (req, res) =>
      .then(people => console.log(people))
      .catch(err => console.log(err)));

Find and kill process locking a port on Mac

This error was caused when I tried to locally run a server on a port that was already being used by another server that I had previously left running and forgot to turn off.

This command will show you all the process(es) running on a port and their PIDs

sudo lsof -i :3000

Kill the process by replacing <PID> with the process’ PID number

kill -9 <PID>