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Technologies / Testing

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?

Python developers developing testing skills
Quality assurance engineers
DevOps Engineers responsible for code quality
Software solution architects
Technical Team Leaders
Automation testers specializing in Python

Prerequisites

  • Practical knowledge of Python
  • Experience in creating applications
  • Basic knowledge of software testing
  • Knowledge of version control systems

Training program

01

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
02

Edge case handling

  • Testing Different Application Types
  • Web application tests
03

Database testing

  • Asynchronous tests
  • Microservice testing
  • Integration and Automation
04

Continuous Testing

  • CI/CD integration
05

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.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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