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Python for Test Automation - Face-to-Face Training

This course covers the latest Python 3 language features and how to apply to test and process automation. The most recent updates to the standard library are covered (e.g. dataclasses, asyncio, multiprocessing) as well as the most popular 3rd party Python packages (parsing yaml, xml, html files, interacting with web services, GUI frameworks). A session on Python static analysis, including software metrics and unit testing to ensure your Python scripts are production ready and easy to maintain. For acceptance testing you will learn about Behavior Driven Testing (BDD), Keyword and Data driven test frameworks like Robot Framework. The course is presented by an international software consultant with over 20 years of experience in C/C++, Python and QA process automation.

  • Content
     
  • Objectives
     
  • Participants
     
  • Requirements
     

Master the fundamentals of developing Python scripts

Understand the main difference between Python 2 and 3

Learn about modern features introduced in Python 3

Get an overview of the Python standard library

Practical exercises using Python based test frameworks

QA DevOps, test engineers wishing to automate test. This course is also suitable for programmers starting new projects in Python 3 or for those porting existing applications from Python 2.

No previous knowledge of Python is assumed, although attendees should be familiar with at least one programming language. Prior knowledge of a scripting language (Perl, Unix/Linux shells) and object-oriented concepts is helpful but not mandatory.

Python Language and Environment

  • Python Interpreters & Extensions
  • Python Version 2 & 3
  • Coding Style
  • Package & Virtual Environments Management
  • Python Language: Keywords, Operators, Basic Data Types
  • Built-in Functions
  • User-Defined Functions, Classes, Modules and Packages
  • Lambda functions, List Comprehensions, Generators, Decorators
  • Standard Library Highlight: collections

Python 3 Standard Libraries

  • Runtime features
  • Application building blocks
  • File system
  • Text and regular expressions
  • Dates and times
  • Data persistence and exchange
  • Data compression and archiving
  • Cryptography
  • Mathematics and data analysis
  • Concurrency with processes
  • Networking, Internet & Web Services
  • GUI Frameworks

Python Test Frameworks

  • Source Code Quality (Coding Standards, Defect Detection)
  • Software Metrics (SLOC, McCabe, Halstead, Maintainability Index)
  • Code Coverage (Statement & Branch Coverage)
  • Unit & Module Testing (Property-Based Testing; Mutation Testing: Fault-Injection)
  • Integration, System & Acceptance Testing (Behavior Driven Testing; Keyword & Data-Driven Testing: Robot Framework)


CONTACT

Melanie Menzl
Phone +49 (0)89 450617-71


SEMINAR LOCATION


ORGANIZATIONAL DETAILS

The training price includes:
Lunch, drinks, training documentation and your training certificate.


ALL INCLUSIVE!


BONUS SCHEDULE

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Related trainings

FACE-TO-FACE TRAINING

Price *Duration
-3 days
Training code: E-PYTH-TA
* Price per attendee, in Euro plus VAT
> Registration form download (PDF)> Training details as PDF

Onsite Training

Our customized workshops integrate your specific project tasks in our training content and accommodate your requirements on content, time, location, duration, technical environment and knowledge transfer methodology.

Please contact us for further information or an individual quotation.

> Training details as PDF

Face-To-Face - German

Duration
3 days  

Coaching

Our coaching services offer a major advantage: our specialists introduce their expertise and experience directly in your solution process, thus contributing to the success of your projects.

We will be happy to provide you with further information or submit a quotation tailored to your requirements.

Python for Test Automation - Face-to-Face Training

Content

Python Language and Environment

  • Python Interpreters & Extensions
  • Python Version 2 & 3
  • Coding Style
  • Package & Virtual Environments Management
  • Python Language: Keywords, Operators, Basic Data Types
  • Built-in Functions
  • User-Defined Functions, Classes, Modules and Packages
  • Lambda functions, List Comprehensions, Generators, Decorators
  • Standard Library Highlight: collections

Python 3 Standard Libraries

  • Runtime features
  • Application building blocks
  • File system
  • Text and regular expressions
  • Dates and times
  • Data persistence and exchange
  • Data compression and archiving
  • Cryptography
  • Mathematics and data analysis
  • Concurrency with processes
  • Networking, Internet & Web Services
  • GUI Frameworks

Python Test Frameworks

  • Source Code Quality (Coding Standards, Defect Detection)
  • Software Metrics (SLOC, McCabe, Halstead, Maintainability Index)
  • Code Coverage (Statement & Branch Coverage)
  • Unit & Module Testing (Property-Based Testing; Mutation Testing: Fault-Injection)
  • Integration, System & Acceptance Testing (Behavior Driven Testing; Keyword & Data-Driven Testing: Robot Framework)