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Automating Real-World Tasks with Python

Approx. 13 hours to complete

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Course Summary

Learn how to use Python to automate real-world tasks like scheduling and email sending. This course will teach you how to write scripts that can save you time and effort in your daily work.

Key Learning Points

Automate tasks with Python
Schedule scripts to run automatically
Send emails with Python

Job Positions & Salaries of people who have taken this course might have

- USA: $87,000
- India: ₹6,50,000
- Spain: €35,000
- USA: $87,000
- India: ₹6,50,000
- Spain: €35,000
- USA: $97,000
- India: ₹8,00,000
- Spain: €40,000
- USA: $87,000
- India: ₹6,50,000
- Spain: €35,000
- USA: $97,000
- India: ₹8,00,000
- Spain: €40,000
- USA: $80,000
- India: ₹5,00,000
- Spain: €32,000

Learning Outcomes

Understand how to use Python to automate tasks
Learn how to schedule scripts to run automatically
Send emails with Python

Prerequisites or good to have knowledge before taking this course

Basic knowledge of Python programming
Familiarity with command line interface

Course Difficulty Level

Beginner

Course Format

Online
Self-paced

Similar Courses

Python for Everybody
Python Data Structures

Related Education Paths

Notable People in This Field

Guido van Rossum
Steve Huffman

Related Books

Description

In the final course, we'll tie together the concepts that you’ve learned up until now. You'll tackle real-world scenarios in Qwiklabs that will challenge you to use multiple skills at once.

First, we'll take a closer look at how to use external Python modules to extend your code's capabilities, and spend some time learning how to use documentation to learn a new module. For example, we'll use the Python Image Library (PIL) to create and modify images. We'll show you some simple examples of how to perform common tasks in the course material, but it will be up to you to explore the module documentation to figure out how to solve specific problems. Next, we'll show you how to communicate with the world outside of your code! You'll use data serialization to turn in-memory objects into messages that can be sent to other programs. Your program will send messages across the network to Application Programming Interfaces (APIs) offered by other programs. For those times when your code needs to talk to a person instead of a program, you'll also learn to send email messages. At the end of this course, you’ll be able to take a description of a problem and use your skills to create a solution -- just like you would on the job. In your final capstone project, you'll be given a description of what your customer needs, and it will be up to you to create a program to do it!

Knowledge

Use Python external libraries to create and modify documents, images, and messages
Understand and use Application Programming Interfaces (APIs) to interact with web services
Understand and use data serialization to send messages between running programs
Build a solution using the skills you have learned

Outline

Manipulating Images
Course Introduction
Welcome to the Course!
Module 1 Introduction
Built-In Libraries vs. External Libraries
What is an API?
How to Make Sense of an API?
How to Use PIL for Working With Images
Project Problem Statement

Interacting with Web Services
Module 2 Introduction
Web Applications and Services
Data Serialization
Data Serialization Formats
More About JSON
The Python Requests Library
Useful Operations for Python Requests
HTTP GET and POST Methods
What is Django?
Project Problem Statement

Automatic Output Generation
Module 3 Introduction
Introduction to Python Email Library
Adding Attachments
Sending the Email Through an SMTP Server
Introduction to Generating PDFs
Adding Tables to our PDFs
Adding Graphics to our PDFs
Project Problem Statement

Putting It All Together
Outtakes!
Module 4 Introduction
Project Problem Statement
How to Approach the Problem

Summary of User Reviews

Automating Real-World Tasks with Python is a popular course on Coursera that teaches how to automate tasks using Python programming language. The course has received positive reviews from users, who highlight its practical approach and usefulness in real-life scenarios.

Key Aspect Users Liked About This Course

Many users appreciated the course's emphasis on real-world scenarios and practical applications of Python automation.

Pros from User Reviews

Practical approach and real-life scenarios
Useful for automating repetitive tasks
Well-structured and easy to follow
Great for beginners and intermediate learners
Instructors are knowledgeable and engaging

Cons from User Reviews

Some users felt the course could have covered more advanced topics
Some users found the pace too slow or too fast
Some users reported technical issues with the platform or materials
Some users felt the assignments were too easy or too difficult
Some users would have liked more hands-on exercises

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