BDD Automation : Behave with Python

How to set up Python on Windows 64-bit machine, download, install, customize location, set the environment variable PATH, and verify installation with Python -V.

Set up PyCharm community edition, download and install on Windows, create a new Python project named automation one, configure the Python 3.7 interpreter, and customize the appearance.

Configure pip on Windows to enable Python package installation. Use pip to download and install the behave library and verify the setup from the command prompt.

Learn how to structure a bdd workflow with behave by using feature files written in natural language and step definition files in Python, executed to generate test reports.

Discover how to organize a behave project with features, a steps subfolder, and environment files, and implement before and after hooks for tests and steps.

Define behavior with Gherkin in BDD and write end-to-end scenarios in feature files with step definitions. Set up Notepad++ with a Gherkin plugin for syntax highlighting.

Learn to write Gherkin feature files using the feature keyword, save with a .feature extension in Notepad++, and define feature name, description, and scenarios for application behavior.

Explore the Gherkin scenario keyword within a feature to test end-to-end behavior by creating multiple scenarios such as register, search, add to cart, and checkout.

Learn how Gherkin's given step defines the starting point of a test, illustrated by a login scenario with steps like given, when, and then guiding the scenario.

Master Gherkin in BDD with Python by using when, then, and end to write steps and validations in feature files for end-to-end scenarios like search and add to cart.

Learn how the gherkin background step streamlines repeated given steps across a feature by defining a shared initial setup that executes before each scenario.

Explore step argument in Gherkin and learn how to define test data as input for step definitions in a feature file, enabling flexible automation with Python.

Explore how the scenario outline in Gherkin enables data driven testing with examples and a data table to run the login scenario across multiple username and password sets.

Explore Gherkin comments with hash and document string in behave with Python, using triple quotes to pass large data as the last argument to steps.

Learn how to use Gherkin tags to control execution of scenarios, features, and scenario outlines in Behave with Python, including smoke, sanity, regression, and end-to-end testing.

Create a behave with Python BDD project by installing Behave, then building a feature folder with feature files, an environment file, and a steps directory for step definitions.

Create a feature file using gherkin keywords (feature, scenario, given, when, then) to test registration with valid and duplicate data. Organize multiple scenarios in the features folder for future automation.

Learn how to map feature file steps to Python step definitions using Behave and Selenium, writing code for each line to automate a registration workflow in Chrome.

Explore how to control execution in behave with Python by tagging scenarios (such as smoke, sanity, ABC), and combining tags with and, or, and not to run specific test sets.

Explore how to use a Behave environment file to manage setup and teardown with before all, after all, before feature, and before scenario, sharing a global driver context.

Learn to generate formatted reports in a python-based bdd framework using behave, including setting up the reporting integration, producing xml, and viewing html reports in the browser.

Explore Python basics as an interpreted, object‑oriented scripting language with simple syntax, interactive mode, cross‑platform support, extensive libraries, and built‑in garbage collection for testing tasks.

Learn to write basic Python code by creating a new Python project in Eclipse and configuring the interpreter. Run simple console programs that use print and input.

Identify python identifiers rules, with class names starting with capital letter and other identifiers starting lowercase, while allowing numbers and underscores, and note indentation, backslash-based multiline, brackets, and semicolon usage.

Explore how Python automatically declares and uses variables, assigns int, float, and string types, and performs casting and deletion with print demonstrations.

Define Python strings using single, double, and triple quotes, then demonstrate operations like concatenation, indexing, slicing, length, strip, and case conversion, along with replace and split.

Explore loops in Python by building a project that demonstrates for loops with range, for each loop over lists and dictionaries, and while loops, including printing loop outputs.

Master python functions to improve modularity and reusability, define with def, use documentation strings, manage parameters (required, keyword, default), and distinguish local and global variables.

Demonstrate Python inheritance by defining a parent class and a child class, then show how the child inherits properties and methods from the parent and how a grandchild accesses both.

Learn condition handling in python with if, else if, and else; process user input, cast types, and determine even or odd numbers using and/or logic and multiple conditions.

Learn how dictionaries in Python function as hash tables of key-value pairs, define them with curly braces, access values with square brackets, and use keys(), values(), and items() methods.

Explore Python exception handling by validating user input, converting strings to numbers, and using try, except, and finally to control flow when errors occur.

Explore object oriented programming in Python by building a glove class with constructors and self, defining methods like display and calculate, creating objects, and invoking methods with user input.

Explore how to work with lists in Python, including creating lists, indexing, slicing, getting length with len, concatenating lists, and basic string comparisons.

Explore Python tuples in this lecture, contrast them with lists, and learn to access elements, measure length, and concatenate tuples, highlighting their immutability and fixed size.

Learn how to create Python modules with functions and classes for Behave automation, understand import side effects, instantiate objects, and call module methods and functions.

Learn to focus and blur elements, capture screenshots of the full page and specific elements, and manage test cases for reliable BDD automation with Python.