Automated Software Testing with Python

Automated Software Testing with Python, available at $99.99, has an average rating of 4.63, with 150 lectures, 14 quizzes, based on 5376 reviews, and has 38103 subscribers.

You will learn about Everything you need to know about automated software testing with Python (and how to enjoy testing, too!) Avoid common pitfalls and implement best practices when writing automated tests Write complete system tests using Python and tools like Postman Automate your application testing by setting up a continuous integration pipeline using Travis CI Browser-based acceptance testing using Behave and Selenium WebDriver This course is ideal for individuals who are Advanced students who want to learn about testing their Python applications to build more complete solutions or Professionals wanting to learn more about automated software testing in their workplace or Automated software testers and software developers It is particularly useful for Advanced students who want to learn about testing their Python applications to build more complete solutions or Professionals wanting to learn more about automated software testing in their workplace or Automated software testers and software developers.

Enroll now: Automated Software Testing with Python

Summary

Title: Automated Software Testing with Python

Price: $99.99

Average Rating: 4.63

Number of Lectures: 150

Number of Quizzes: 14

Number of Published Lectures: 142

Number of Published Quizzes: 7

Number of Curriculum Items: 164

Number of Published Curriculum Objects: 149

Original Price: $119.99

Quality Status: approved

Status: Live

What You Will Learn

Everything you need to know about automated software testing with Python (and how to enjoy testing, too!)

Avoid common pitfalls and implement best practices when writing automated tests

Write complete system tests using Python and tools like Postman

Automate your application testing by setting up a continuous integration pipeline using Travis CI

Browser-based acceptance testing using Behave and Selenium WebDriver

Who Should Attend

Advanced students who want to learn about testing their Python applications to build more complete solutions

Professionals wanting to learn more about automated software testing in their workplace

Automated software testers and software developers

Target Audiences

Advanced students who want to learn about testing their Python applications to build more complete solutions

Professionals wanting to learn more about automated software testing in their workplace

Automated software testers and software developers

Welcome to the most comprehensive course on Automated Software Testing with Python on Udemy.

Testing automation doesn’t have to be painful. Software testing is an essential skill for any developer, and I’m here to help you truly understand all types of test automation with Python.

I’m Jose, a software engineer and founder of Teclado. The focus of this course is on testing for the web—we’ll be working with REST APIs and web applications, and technologies such as unittest, Postman, and Selenium WebDriver.

Fear not though, after going through this course, you’ll be able to take your new testing knowledge and apply it to any project, even non-web projects!

What will you work with?

This course is jam-packed with all the latest technologies for you to use professionally and in personal projects:

The unittest library, Python’s standard automated software testing library;

Mocking and patching, two essential tools to reduce dependencies when testing;

unit, integration, system, and acceptance testing—all types of testing to have you fully covered;

Postman for easy collaboration and testing while developing;

Selenium WebDriver for automated browser tests;

Git and Travis for continuous integration of your project.

Fundamental Software Testing Skills

We will cover every fundamental software testing skill that you need to know in order to get a job testing or to apply these skills in your existing projects.

From things like mocking and patching using the unittest library, which reduce dependencies and turn complex tests to simple ones; to looking at all types of testing: simple unit tests to large system tests and even customer acceptance tests.

The Testing Pyramid

The Testing Pyramid says you should have a lot of unit tests, slightly fewer integration tests, even fewer system tests, and as few acceptance tests as possible.

Throughout the course we work on this concept, making sure that we have full coverage of every component of our system with unit tests. Then we test the dependencies using integration tests. Finally, we cover the entire system and its assumptions using system tests. Of course, we’ll also look at what acceptance testing is, how we come up with acceptance tests, and some of the best ways to write acceptance tests for a web application using Behavior-Driven Development and Selenium WebDriver.

Automated Browser Testing with Selenium WebDriver

Selenium WebDriver is extremely powerful, particularly when coupled with the efficient and tried-and-tested approach recommended in this course. We’ll design our acceptance tests professionally—just the way you’d do at a software testing job. We’ll use page models, locators, and step definitions to structure the automated tests in a reusable way. The customers will be able to come up with acceptance tests that you can easily translate to code.

We’ll also learn about implicit and explicit waits with Selenium WebDriver and Python, a key concept to speed up the runtime of your acceptance tests.

Continuous Integration

We also cover how you can take automated testing much further in your projects.

By implementing a Continuous Integration pipeline that runs your tests whenever you make any changes, you’ll have much higher quality in your projects and not let any pesky bugs pass you by. We’ll look at putting our projects in GitHub and liking the CI pipeline with them.

I’m really excited to guide you through this course!

Join me in this automated testing journey. I‘ll see you on the inside!

Course Curriculum

Chapter 1: Welcome!

Lecture 1: How to take this course

Lecture 2: Installing Python and PyCharm on Windows

Lecture 3: Installing Python and PyCharm on macOS

Chapter 2: A Full Python Refresher

Lecture 1: Introduction to this section

Lecture 2: Access the code for this section here

Lecture 3: Variables in Python

Lecture 4: Solution to coding exercise: Variables

Lecture 5: String formatting in Python

Lecture 6: Getting user input

Lecture 7: Writing our first Python app

Lecture 8: Lists, tuples, and sets

Lecture 9: Advanced set operations

Lecture 10: Solution to coding exercise: lists, tuples, sets

Lecture 11: Booleans in Python

Lecture 12: If statements

Lecture 13: The in keyword in Python

Lecture 14: If statements with the in keyword

Lecture 15: Loops in Python

Lecture 16: Solution to coding exercise: flow control

Lecture 17: List comprehensions in Python

Lecture 18: Dictionaries

Lecture 19: Destructuring variables

Lecture 20: Functions in Python

Lecture 21: Function arguments and parameters

Lecture 22: Default parameter values

Lecture 23: Functions returning values

Lecture 24: Solution to coding exercise: Functions

Lecture 25: Lambda functions in Python

Lecture 26: Dictionary comprehensions

Lecture 27: Solution to coding exercise: dictionaries

Lecture 28: Unpacking arguments

Lecture 29: Unpacking keyword arguments

Lecture 30: Object-Oriented Programming in Python

Lecture 31: Magic methods: __str__ and __repr__

Lecture 32: Solution to coding exercise: classes and objects

Lecture 33: @classmethod and @staticmethod

Lecture 34: Solution to coding exercise: @classmethod and @staticmethod

Lecture 35: Class inheritance

Lecture 36: Class composition

Lecture 37: Type hinting in Python 3.5+

Lecture 38: Imports in Python

Lecture 39: Relative imports in Python

Lecture 40: Errors in Python

Lecture 41: Custom error classes

Lecture 42: First-class functions

Lecture 43: Simple decorators in Python

Lecture 44: The at syntax for decorators

Lecture 45: Decorating functions with parameters

Lecture 46: Decorators with parameters

Lecture 47: Mutability in Python

Lecture 48: Mutable default parameters (and why theyre a bad idea)

Lecture 49: Conclusion of this section

Chapter 3: Your first automated software test

Lecture 1: Introduction to this section

Lecture 2: Access the code for this section here

Lecture 3: Setting up our project

Lecture 4: Important: the naming of test files

Lecture 5: Writing our first test

Lecture 6: Testing dictionary equivalence

Lecture 7: Writing blog tests and PyCharm run configurations

Lecture 8: The __repr__ method, and intro to TDD

Lecture 9: Integration tests and finishing the blog

Lecture 10: Mocking, patching, and system tests

Lecture 11: Patching the input method and returning values

Lecture 12: Taking our patching further

Lecture 13: The last few patches!

Lecture 14: The TestCase setUp method

Lecture 15: Conclusion of this section

Chapter 4: Testing a Flask Endpoint

Lecture 1: Introduction to this section

Lecture 2: Access the code for this section here

Lecture 3: Setting our project up

Lecture 4: Creating our Flask app

Lecture 5: Our first System test

Lecture 6: Refactoring our System Tests

Lecture 7: Conclusion of this section

Chapter 5: REST API Testing, Part I

Lecture 1: Introduction to this section

Lecture 2: Access the code for this section here

Lecture 3: A look at a REST API with Flask

Lecture 4: Unit testing a REST API

Lecture 5: Setting up our generic BaseTest

Lecture 6: Integration testing a REST API

Lecture 7: Conclusion of this section

Chapter 6: REST API Testing, Part II

Lecture 1: Introduction to this section

Lecture 2: Access the code for this section here

Lecture 3: Setting up our project

Lecture 4: Testing foreign key constraints with Python

Lecture 5: Unit testing models and SQLAlchemy mappers

Lecture 6: Finishing our Store tests

Instructors

Jose Salvatierra
Founder of Teclado and Software Engineer

Teclado by Jose Salvatierra
Software Development For Everyone

Rating Distribution

1 stars: 56 votes

2 stars: 77 votes

3 stars: 441 votes

4 stars: 1858 votes

5 stars: 2947 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!