Selenium Python with Behave BDD(Basic + Advance + Architect)

Selenium enables web-based automation testing across browsers and languages as an open-source framework with webdriver, ide, rc, and grid. This course teaches selenium python with behave for bdd.

Explore the new selenium.dev site, discover WebDriver, IDE, and Grid, plus detailed documentation, community support, and step-by-step getting started guides for selenium automation.

Install the latest Python 3.9 on Windows, add PATH for global access, and explore IDLE and PyCharm while learning to integrate Selenium and other third-party tools.

Learn how to declare Python variables with assignment operator, follow naming rules (start with a letter or underscore; underscores and digits after the first character), and distinguish identifiers from keywords.

Explore Python data types, including int, float, complex, string, bool, list, tuple, set, frozenset, and dict, with type checks and basic operations.

Explore Python string data types and literals, including quotes and escapes. Learn indexing, slicing, reversing, and formatting with f-strings and format-style methods.

Explore Python operators with practical examples, covering arithmetic and relational operators, including addition, subtraction, multiplication, division, modulus, exponent, floor division, and string comparisons via ascii values; learn relational operator chaining.

Explore equality operators like == and != and how they compare numbers, booleans, and strings. Then master logical operators and, or, not, and see how they guide decisions in Python.

Explore bitwise operators and, or, xor, and not with Python examples and bit-level truth tables, showing operands, bits, and practical use in Selenium and API automation.

Explain identity operators is and is not in Python, showing how two references point to the same object, and demonstrate membership operators in and not in with a list.

Master Python flow control with if statements, elif branches, else blocks, and nested if statements, emphasizing indentation, boolean logic, and multi-branch decision making.

Master for loops in Python to iterate over sequences, ranges, lists, and dictionaries, explore range customization, and apply practical examples like printing tables and summing numbers.

Explore the while loop syntax and behavior by implementing a condition-driven block, incrementing a counter, and printing hello, then sum the first n numbers with user input.

Explore break and continue statements in Python loops. Use break to exit a for loop at a condition and continue to skip an iteration and proceed with the next.

Explore how the else block behaves in a for loop, using break and continue to control flow when items exceed 500, and how all items are successfully processed are printed.

Identify how the pass statement acts as a placeholder and null operation to keep an empty loop. Compare its use in Python with break and continue.

Explore the Python list data type, its properties: ordered, supports duplicates, and mutable; learn practical operations like indexing, appending, slicing, updating, deleting, and sorting with real examples.

Explore Python list operations, including repetition and concatenation, membership checks, iteration, and length, with examples of max, min, and converting a string to a list.

Explore python dictionaries as key-value pairs, learn to create, access, update, delete, and iterate keys and values, including nested dictionaries and lists.

Explore python tuples as immutable sequences that resemble lists but disallow item assignment or deletion. Learn indexing, slicing, repetition, membership, iteration, and concatenation, and see how tuples suit static data.

Explore Python sets as unordered, unindexed collections of unique values stored with curly braces. Learn practical operations like add, remove and discard, length, iteration, copy, and clear.

Explore Python functions by mastering the def syntax, naming conventions, and how to use parameters and arguments, including required, keyword, default, and variable-length ones.

Learn object oriented programming in Python by exploring classes and objects, encapsulation, abstraction, inheritance, and polymorphism, plus blueprints, self, data members, and reusable object instances.

Learn Python constructors, including default and parameterized forms; see how __init__ initializes object state, is automatically invoked on creation, and why Python forbids constructor overloading.

Explore inheritance in object-oriented programming, where a child class inherits from a parent to access methods and data, covering single, multi-level, multiple inheritance, and method resolution order in Python.

Explore polymorphism in python through operator overloading, method overloading and overriding, and constructor overloading, with hands-on class examples of addition and subtraction.

Explore polymorphism through inheritance, where a derived class overrides a parent method. The lecture contrasts method overloading and constructor overloading in Python and Java, noting Python lacks overloading.

Explore how method overriding works in Python, showing base and derived classes, and learn to use the super keyword to access base functionality and override constructors.

Explore Python variables: class variables shared by all instances and instance variables unique to each object; a dog example shows legs as a class variable and name/color as instance variables.

Explore abstract methods and abstract classes in Python using the ABC module, defining a blank click method, and implementing concrete browser classes like Chrome and Firefox that override click.

Learn how exception handling protects program flow in Python by distinguishing errors from exceptions and using try, except, and else blocks to handle division by zero and other runtime errors.

Discover Python exception types and hierarchy, from zero division and value errors to end-of-file errors, and craft try/except/else/finally blocks for robust handling.