This is a course for testers who are frustrated by the laborious and manual work that makes up day-to-day test activities. Participants will gain a solid understanding of the Python language, its philosophy, and the code syntax.
- Explore examples covering topics such as generating test data, monitoring system under test, compressing and sending test data
- Gain a solid understanding of the Python language, its philosophy, and the code syntax
- Get a broad introduction to the vast standard library that Python comes installed with
- What is Pythonic code, good practices and common pitfalls to avoid
- Learn how to install third party Python libraries to extend the power of the language
- Understand how to control external processes
- Get started with performance measurements
- Learn how transfer results to remote computers
Learn by Doing
This is a course for testers who are frustrated by the laborious and manual work that makes up day-to-day test work, anyone who has tried or wants to try scripting and programming in order to help them focus more on the sapient test activities and let the computer do the repetitive work.
During the course we will work with a strong focus on practical knowledge and learning by doing with much hands-on coding so that attendees can work independently with Python after the course. A large amount of exercises are built to give the opportunity to build simple but powerful tools using Python, which gives a deeper understanding of the opportunities that the language offers.
Why should I invest time in learning Python?
Because Python is powerful, efficient, and very fun to work in. You feel productive from the start and produce results with surprising speed. It is the perfect choice for a tester who wishes to use a programming language to assist them in their testing, and it's not a language that ends up standing in your way. Python is well established with over 20 years of history, included out of the box in most modern operating systems. It has a diverse, huge, and active community and ecosystem.
Who Should Attend
This course should be attended by engineers in a testing role or those seeking an introduction to programming concepts to develop their skills and learn more about the benefits and power of using Python for testing. The attendees are required to have basic computer knowledge and a genuine interest in learning about scripting and programming.
Attendees are also required to bring their own laptop to be able to complete the exercises. The laptop must be able to run VirtualBox 5.1 or later. (Learn more at virtualbox.org.)
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- What is Python?
- Basic syntax, structure of Python code
- Importing modules
- The REPL Basic constructs
- The standard library
- Python 2 vs 3
2. Generating Test Data
- Built-in data types and objects
- Control statements and control flows
- Writing data into files
3. Gathering Test Artifacts
- Python Methods
- Working with the file systems and operating systems
- Manipulating file paths
- Compressing and transferring test data
4. Real Time Monitoring of System Under Test
- Text parsing and manipulation
- Manipulating dates and timestamps
- Formatting output in terminal
- Reading data from files
5. Generating Test Data Continued
- CSV - Comma Separated Values
- Compressing data continued
- Traversing and mapping file systems
- Input from command line
6. Web Calls, REST APIs, and Monitoring Systems
- Installing third party libraries
- Working the data format JSON
- HTTP Requests
- Calling and testing REST APIs
- Monitor system under test
7. Controlling External Processes
- PExpect - The Python implementation of Expect
- Calling and testing SOAP APIs
8. Attendees Choice
- There will be the opportunity to do ad-hoc exercises depending on the attendees wishes.