Case Study: Building Software in Python
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
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Course Description
This course offers a hands-on introduction to software engineering by guiding you through the development of a practical application: a mortgage calculator. You’ll learn how to calculate monthly payments based on key inputs like loan amount, interest rate, and loan term. Along the way, you’ll apply essential software engineering principles to create code that is efficient, modular, and maintainable.
What You’ll Build
Using Python, you’ll design and implement a mortgage calculator that evolves from a basic tool into a robust solution. Starting with simple modules, you’ll expand the functionality using inheritance to create advanced calculators, including one that handles financial computations. This hands-on project will help you understand real-world software development techniques and how to structure scalable code.Techniques You’ll Use
Throughout the course, you’ll follow best practices like the DRY (Don’t Repeat Yourself) principle and modularity to organize your code effectively. You’ll adhere to PEP 8 standards, use tools like Pylint to maintain code quality and write automated tests with pytest to ensure your application’s reliability. By the end of the course, you’ll have the skills to design, implement, and test real-world software solutions with confidence.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
Introduction to the Case Study
FreeGet to know the brief and start building your calculators from scratch while recapping important object-oriented and software engineering principles such as the Don't Repeat Yourself (DRY) principle.
- 2
Write a Python Module
The basics are done, and now it's time to spruce them up! Continue with adding documentation and automated testing, and extend the functionality even further.
- 3
Maintainability
The main code is written so now it's time to make sure everything works as it should and follows the best practices. Learn how to review, refactor, and improve your code, as well as run more comprehensive tests.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.collaborators
Mark Pedigo
See MorePrincipal Data Scientist
An accomplished PhD data scientist with expertise in predictive modeling, statistical analysis, and data visualization, Mark has extensive experience in healthcare, government, and academia, including roles at UnitedHealth Group, Ring, and NASA. Known for strong problem-solving and mentorship skills, as well as exceptional communication abilities, he excels at fostering collaboration and building productive team environments.
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