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Learn AI with Python · Lesson

Automating Emails and Reports

Send automated emails and generate reports using Python.

Automating Emails and Reports is a free Learn AI with Python lesson on CoddyKit — lesson 3 of 3. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Learn AI with Python learning path, one of 3 lessons in the course, and your progress syncs across the web and the CoddyKit app.

1

Automating Emails and Reports

Sending automated emails and generating reports are common tasks in many projects. Python provides libraries like smtplib, email, and reportlab for these purposes.

In this lesson, you’ll learn how to send automated emails and generate basic reports.

Automating Emails and Reports — illustration 1

2

Sending Emails with smtplib

The smtplib library allows you to send emails using SMTP (Simple Mail Transfer Protocol). Let’s start by sending a basic email.

# Sending a basic email
import smtplib

server = smtplib.SMTP('smtp.gmail.com', 587)
server.starttls()
server.login('your_email@gmail.com', 'your_password')
server.sendmail('from_email@gmail.com', 'to_email@gmail.com', 'Subject: Test Email\n\nHello, this is a test email!')
server.quit()

3

Using the email Library

The email library lets you create more complex emails, such as those with attachments or HTML content.

# Sending an HTML email
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart

msg = MIMEMultipart()
msg['From'] = 'your_email@gmail.com'
msg['To'] = 'to_email@gmail.com'
msg['Subject'] = 'Test HTML Email'

html_content = '<h1>Hello!</h1><p>This is a test email with HTML content.</p>'
msg.attach(MIMEText(html_content, 'html'))

4

Automating Email Attachments

You can attach files to your emails using the email library. For example, let’s send a PDF file as an attachment.

# Adding an attachment
from email.mime.base import MIMEBase
from email import encoders

filename = 'example.pdf'
with open(filename, 'rb') as attachment:
    part = MIMEBase('application', 'octet-stream')
    part.set_payload(attachment.read())
encoders.encode_base64(part)
part.add_header('Content-Disposition', f'attachment; filename={filename}')
msg.attach(part)

5

Generating Reports with reportlab

The reportlab library allows you to generate PDF reports programmatically. Let’s create a simple PDF report.

# Generating a simple PDF report
from reportlab.pdfgen import canvas

c = canvas.Canvas('report.pdf')
c.drawString(100, 750, 'Hello, this is a PDF report!')
c.save()

6

Combining Email and Report Automation

Once you generate a report, you can send it as an email attachment. Combine the concepts learned so far to automate the entire process.

7

Scheduling Email Automation

You can schedule email automation tasks using tools like cron (Linux/macOS) or Task Scheduler (Windows).

8

Using APIs for Email Automation

Services like SendGrid and Mailgun provide APIs for sending emails. These APIs are more secure and scalable than using SMTP directly.

9

10

Common Mistakes in Email and Report Automation

Here are some mistakes to avoid:

  • Hardcoding credentials directly in the script.
  • Not testing email configurations before automation.
  • Failing to handle email errors, such as invalid recipients.

11

What Did We Learn?

In this lesson, you learned:

  • How to use smtplib and email libraries for sending emails.
  • How to generate reports using the reportlab library.
  • How to automate email sending with attachments.
  • Best practices for secure and efficient email automation.

Great job! Let’s move to the next topic.

Automating Emails and Reports — illustration 11

Frequently asked questions

Is the “Automating Emails and Reports” lesson free?

Yes — the full text of “Automating Emails and Reports” is free to read here on the web, and the Learn AI with Python course includes 3 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Learn AI with Python course, upgrade to CoddyKit PRO.

What will I learn in “Automating Emails and Reports”?

Send automated emails and generate reports using Python. You practise Learn AI with Python with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Learn AI with Python?

No prior experience is required. Learn AI with Python on CoddyKit is structured for beginners through advanced learners; this is — lesson 3 of 3, so you can start here or from the beginning and move at your own pace.

How long does the “Automating Emails and Reports” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Learn AI with Python lesson?

Yes. Every Learn AI with Python lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Automating Tasks with Scripts
  2. Working with os and shutil
  3. Automating Emails and Reports
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