Unit Testing in Python
Specialist training dedicated to unit testing in Python language, which equips participants with advanced code quality assurance techniques. The workshop program covers both theoretical foundations of unit testing and practical aspects of implementing tests in real projects. Sessions are conducted as intensive workshops where participants work on real examples and test scenarios.
Why choose this training?
Growing market demands mean that, technical competencies have become a critical asset. Specialist training dedicated to unit testing in Python language, which equips participants with advanced code quality assurance techniques.
Upon completion, participants will be able to: Participants will be able to design and implement effective unit tests for various types of Python applications, They will gain skills in applying advanced testing techniques, including component mocking and stubbing, They will learn to work according to Test-Driven Development methodology, enabling creation of more reliable code, They will learn test process automation techniques and their integration with CI/CD pipelines. These competencies directly translate into higher effectiveness in IT projects.
This training is particularly valuable for: Python developers developing testing skills, Quality assurance engineers, DevOps Engineers responsible for code quality.
What makes our approach unique?
The EITT approach is based on hands-on experience and practical exercises. Over 3 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.
With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.
Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.
Benefits
- Participants will be able to design and implement effective unit tests for various types of Python applications
- They will gain skills in applying advanced testing techniques, including component mocking and stubbing
- They will learn to work according to Test-Driven Development methodology, enabling creation of more reliable code
- They will learn test process automation techniques and their integration with CI/CD pipelines
- They will be able to measure and improve code quality through appropriate test metrics
- They will develop skills in designing testable application architecture
Who is this training for?
Prerequisites
- Practical knowledge of Python
- Experience in creating applications
- Basic knowledge of software testing
- Knowledge of version control systems
Training program
Principles of writing good tests
- Test-Driven Development in practice
- Test code organization
- Patterns in unit testing
- Advanced Testing Techniques
- Mocking and stubbing
- Dependency injection in tests
- Test parameterization
Edge case handling
- Testing Different Application Types
- Web application tests
Database testing
- Asynchronous tests
- Microservice testing
- Integration and Automation
Continuous Testing
- CI/CD integration
Report generation
- Code quality metrics
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
What are the prerequisites for this training?
For Unit Testing in Python we recommend: Practical knowledge of Python; Experience in creating applications; Basic knowledge of software testing.
What is the format and duration of this training?
The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.
Who is this training designed for?
This training is designed for: Python developers developing testing skills; Quality assurance engineers; DevOps Engineers responsible for code quality.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
Learn moreTrusted by
We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.