The ‘Automated Software Testing with Python Course’ is a comprehensive training program for automated software testing using Python. The course is taught by Jose Salvatierra. He is a software developer by profession and has been teaching students coding and software development for the past 7 years.
The course primarily focuses on testing for the web. Students will be working with REST APIs, web applications, Selenium, Postman and WebDriver. The course is usually available for INR 2,799 on Udemy but students can click on the link and get the ‘Automated Software Testing with Python Course’ for INR 449.
Who all can opt for this course?
- Experienced students or professionals who wish to learn about testing their Python programmes in order to create more comprehensive solutions
- Individuals in the workforce who want to learn more about automated software testing
- Software engineers and automated testers
Course Highlights
| Key Highlights | Details |
|---|---|
| Registration Link | Apply Now! |
| Price | INR 449 ( |
| Duration | 13.5 hours |
| Rating | 4.5/5 |
| Student Enrollment | 30,353 students |
| Instructor | Jose Salvatierra https://www.linkedin.com/in/josesalvatierra |
| Topics Covered | REST APIs, web applications, Selenium, Postman, WebDriver, unittest library, etc. |
| Course Level | Intermediate (Students must be familiar with the basics of web applications. Knowledge of Python & REST APIs will be beneficial) |
| Total Student Reviews | 4,427 |
Learning Outcomes
- Learn everything about software testing using Python.
- Learn how to avoid common mistakes and follow the best practices while writing automated tests.
- Create complete system tests using Python and Postman.
- Create a continuous integration pipeline using Travis CI to automate the application testing.
- Browser-based acceptability testing with Selenium WebDriver and Behave.
Course Content
| S.No. | Module (Duration) | Topics |
|---|---|---|
| 1. | Welcome! (01 minute) | How to take this course |
| A self-assessment | ||
| Installing Python and PyCharm on Windows | ||
| Installing Python and PyCharm on OS X | ||
| 2. | A Full Python Refresher (05 hours 14 minutes) | Introduction to this section |
| Access the code for this section here | ||
| Variables in Python | ||
| Variables (Python 3.10) | ||
| Solution to coding exercise: Variables | ||
| String formatting in Python | ||
| Getting user input | ||
| Writing our first Python app | ||
| Lists, tuples, and sets | ||
| Advanced set operations | ||
| Lists, tuples, and sets (Python 3.10) | ||
| Solution to coding exercise: lists, tuples, sets | ||
| Booleans in Python | ||
| If statements | ||
| The ‘in’ keyword in Python | ||
| If statements with the ‘in’ keyword | ||
| Loops in Python | ||
| Flow control—loops and ifs (Python 3.10) | ||
| Solution to coding exercise: flow control | ||
| List comprehensions in Python | ||
| Dictionaries | ||
| Destructuring variables | ||
| Functions in Python | ||
| Function arguments and parameters | ||
| Default parameter values | ||
| Functions returning values | ||
| Functions (Python 3.10) | ||
| Solution to coding exercise: Functions | ||
| Lambda functions in Python | ||
| Dictionary comprehensions | ||
| Dictionaries and students (Python 3.10) | ||
| Solution to coding exercise: dictionaries | ||
| Unpacking arguments | ||
| Unpacking keyword arguments | ||
| Object-Oriented Programming in Python | ||
| Magic methods: __str__ and __repr__ | ||
| Classes and objects (Python 3.10) | ||
| Solution to coding exercise: classes and objects | ||
| @classmethod and @staticmethod | ||
| @classmethod and @staticmethod (Python 3.10) | ||
| Solution to coding exercise: @classmethod and @staticmethod | ||
| Class inheritance | ||
| Class composition | ||
| Type hinting in Python 3.5+ | ||
| Imports in Python | ||
| Relative imports in Python | ||
| Errors in Python | ||
| Custom error classes | ||
| First-class functions | ||
| Simple decorators in Python | ||
| The ‘at’ syntax for decorators | ||
| Decorating functions with parameters | ||
| Decorators with parameters | ||
| Mutability in Python | ||
| Mutable default parameters (and why they’re a bad idea) | ||
| Conclusion of this section | ||
| 3. | Your first automated software test (01 hour 44 minutes) | Introduction to this section |
| Access the code for this section here | ||
| Setting up our project | ||
| Important: the naming of test files | ||
| Writing our first test | ||
| Testing dictionary equivalence | ||
| Writing blog tests and PyCharm run configurations | ||
| The __repr__ method, and intro to TDD | ||
| Integration tests and finishing the blog | ||
| Mocking, patching, and system tests | ||
| Patching the input method and returning values | ||
| Taking our patching further | ||
| The last few patches! | ||
| The TestCase setUp method | ||
| Conclusion of this section | ||
| 4. | Testing a Flask Endpoint (29 minutes) | Introduction to this section |
| Access the code for this section here | ||
| Setting our project up | ||
| Creating our Flask app | ||
| Our first System test | ||
| Refactoring our System Tests | ||
| Conclusion of this section | ||
| 5. | REST API Testing, Part I (44 minutes) | Introduction to this section |
| Access the code for this section here | ||
| A look at a REST API with Flask | ||
| Unit testing a REST API | ||
| Setting up our generic BaseTest | ||
| Integration testing a REST API | ||
| Conclusion of this section | ||
| 6. | REST API Testing, Part II (38 minutes) | Introduction to this section |
| Access the code for this section here | ||
| Setting up our project | ||
| Testing foreign key constraints with Python | ||
| Unit testing models and SQLAlchemy mappers | ||
| Finishing our Store tests | ||
| Conclusion of this section | ||
| 7. | System testing a REST API (01 hour 09 minutes) | Introduction to this section |
| Access the code for this section here | ||
| Setting project up and creating User model | ||
| Change to the next lecture’s code | ||
| Allowing users to log in | ||
| Writing our User tests | ||
| The setUpClass method in the BaseTest | ||
| Testing user registration | ||
| Finalising user System tests | ||
| Writing Store System tests | ||
| Writing our Item System tests and testing authentication | ||
| Conclusion of this section | ||
| 8. | System testing with Postman and Newman (45 minutes) | Introduction to this section |
| Access the code and Postman files here | ||
| Introduction to Postman | ||
| Our first Posman tests | ||
| Setting and clearing environment variables in Postman | ||
| Running a test folder in Postman | ||
| Advanced PyCharm run configurations | ||
| Installing Node and Newman | ||
| Multirun in PyCharm—Running app and tests together | ||
| Conclusion of this section | ||
| 9. | Continuous Integration with Travis CI (43 minutes) | Introduction to this section |
| The code for this section | ||
| Installing Git | ||
| What is a Git repository? | ||
| A local Git workflow | ||
| GitHub and remote repositories | ||
| Adding our project to GitHub | ||
| What is Travis CI? | ||
| Adding our repository to Travis | ||
| The Travis config file and running tests | ||
| Adding our test badge to the Readme | ||
| Conclusion of this section | ||
| 10. | Acceptance testing and browser automation with Selenium (02 hours 00 minutes) | Introduction to this section |
| What is acceptance testing? | ||
| Introduction to our project | ||
| Our first acceptance test step | ||
| Getting the Chrome webdriver | ||
| Verifying everything works | ||
| Finishing our first test | ||
| Re-using steps with the regular expression matcher | ||
| Our first content test | ||
| Page locators and models | ||
| The blog page | ||
| Using pages in navigation | ||
| Don’t over-generalise tests! | ||
| Waits and timeouts with Selenium | ||
| Debugging acceptance tests in PyCharm | ||
| Our final complex scenario | ||
| Filling in forms with Selenium | ||
| Access the final code of this section here | ||
| Conclusion of this section | ||
| 11. | Bonus Material (47 seconds) | Bonus lecture: other courses and next steps |
Resources Required
- Although the course contains a Python refresher section, it will be useful if students have some prior Python programming knowledge.
- Although not necessary, knowledge of REST APIs and web applications will be beneficial.
Featured Review
Anders Albert (5/5): The number one feature of this course is the instructor. He seems to be a professional with lot of experience developing code. He manage to convey a complex topic in an understandable way. I am also impressed with the amount of content in this course. Just section 3 alone covered more than a similar course I took spent 9.5 hours covering.
Pros
- Antony Fuentes Artavia (5/5): This course was just wonderful! He covered the QA automation cycle from end to end.
- David Carrasquilla Retana (5/5): I am at 35% and I just can say, at this moment this is the best course that I’ve found on Udemy.
- Tobias Kuhn (5/5): Jose is a very good instructor and I like his courses.
- pseudo reality (5/5): I think this is a very good continuation of Jose’s flask rest API intro course which was also a very good course.
Cons
- Rung-Yi H. (2/5): Most contents are not relevant to unittest.
- Irekgd (1/5): Sadly if You are a Windows user this course will be a big pain.
- Vinh N. (1/5): This course is really hard and not easy to understand, foremost this course doesn’t fit with beginners though.
- Manjunath K. (1/5): It was fast and couldn’t understand
About the Author
The course is taught by Jose Salvatierra. He works as a software engineer and is the founder of Teclado. With a 4.6 instructor rating and over 60k reviews on Udemy, he offers 9 courses and has taught over 2.7 lakh students so far.
- Jose likes to assist students in their pursuit of software development and coding skills.
- He has been teaching students coding and software development online for more than 7 years.
- Jose helps students solve Python and JavaScript-related problems with respect to web and backend programming.
- He has worked with libraries and tools like Flask, React, React Native, and AngularJS.
- He also has a lot of experience with complex system architecture design, MongoDB, PostgreSQL, and UNIX platforms.
Comparison Table
| Parameters | Automated Software Testing with Python | The Complete Python/PostgreSQL Course 2.0 | REST APIs with Flask and Python in 2023 |
|---|---|---|---|
| Offers | INR 449 ( | INR 455 ( | INR 455 ( |
| Duration | 13.5 hours | 13.5 hours | 12 hours |
| Rating | 4.5/5 | 4.6 /5 | 4.6 /5 |
| Student Enrollments | 30,350 | 12,162 | 110,576 |
| Instructors | Jose Salvatierra | Codestars • over 2 million students worldwide! | Jose Salvatierra |
| Register Here | Apply Now! | Apply Now! | Apply Now! |
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