Selenium WebDriver with Python & PyTest – Best for Beginners

download and set up Python on Mac or Linux, choose the right installer (Windows or Mac), install Python 3.11.5, and verify the installation via the terminal.

Download Python from python.org for Windows, run the installer, and ensure add Python.exe to path so the environment is configured automatically, then finish installation.

Verify python and pip installation on windows by checking path and environment variables, using the python interpreter from the command line, and adding python and script paths to path.

Download the PyCharm community edition to start Python development. Choose the appropriate Windows or Mac installer from JetBrains, open PyCharm, and create a new Python project.

Learn how pip serves as the standard Python package manager to install and manage dependencies from PyPI, using commands like pip install and pip uninstall.

Master using pip to install pytest and selenium, check installed packages with pip list, and manage packages by uninstalling and reinstalling as needed.

Create a new Python project in PyCharm, set up a virtual environment with Python 3.11, run a hello world script, and prepare to dive into Python basics.

Create a Python file and write your first program directly, using a print statement without any class or main method; learn to run basic Python code in a fresh file.

Learn Python identifiers: rules for valid names, starting with a letter or underscore, case sensitivity, private and strong private conventions, and avoiding reserved keywords.

Learn Python basics by exploring indentation rules, printing to the console, and using single-line and multi-line comments. Practice taking user input with the input function and echoing it back.

Discover data types in Python through integers and strings, highlighting runtime type inference, simple variable assignment, and the importance of proper indentation for error-free code.

Explore Python data types and runtime type identification, declare variables without explicit types, and learn how integers and strings interact, including common errors and indentation rules.

Learn how to declare multiple data types in Python, including integer, float, and string, and print values and their types using type() to verify b, c, and d.

Explore Python data types by declaring integers, floats, strings, and complex numbers, then practice lists, tuples, and dictionaries with indexing, immutability, and key-value access.

Explore arithmetic and logical operators in Python, including addition, subtraction, division, multiplication, and equal and not equal tests, then evaluate booleans with and, or, and not through practice examples.

Master python's if else logic with clear examples, using colon and indentation, and explore elif and nested if for multiple conditions, such as voting eligibility above 18.

Learn how to use a for loop in Python to iterate items from a list, print values, and manage flow with if and break, shortening code.

Learn to use a for loop with range in Python to iterate lists, print results, and compute sums with configurable start, end, and step values.

Learn how to use a while loop in Python to iterate while a condition is true, with a simple example of counting up and preventing infinite loops.

Master Python functions with practical examples, covering def syntax, indentation, parameters, calling, and returning values with dynamic arguments.

Explore how to implement switch-case logic in Python using match to handle multiple cases, such as 18 for ID card, 30 for eligible to vote, and 60 for senior citizen.

Explore two ways to implement switch-case in Python, including a switcher for versions above 10, with cases like 18 and 60 and outcomes such as eligible to vote.

Explore basic oop concepts in Python by creating a class, defining methods, and understanding self and constructors, then instantiate objects and call instance and static methods.

Create an object calculator and call its add method with 10 and 5 to produce 15, demonstrating Python's default constructor invocation upon object creation via __init__.

Demonstrate parameterized constructors in python by assigning values to self.a and self.b, using object creation to pass two parameters, and returning the sum of self.a and self.b.

Learn how to apply inheritance in Python by letting a car class inherit engine properties from a parent class. Reuse start and stop engine logic across vehicles.

Compare class variables and instance variables in Python by demonstrating their scope with self and the class name, and illustrate how constructors assign dynamic values.

Explore strings as sequences of characters, using single or double quotes, then learn length with len, indexing, slicing, substrings, and basic string comparisons for automation assertions.

Explore string operations by verifying substrings with in and assert, splitting by spaces to form a list and indexing elements, and using strip to trim from left or right.

Learn Python exception handling by defining try blocks and using except for errors. Use else to continue with normal flow and manage multiple exceptions.

Learn how to raise exceptions explicitly in Python and handle them to control program flow. The lecture uses a zero division error example to illustrate proper exception handling.

Explore Python string basics, including creation, length, indexing, slicing, substring extraction, and string comparisons, with practical examples and simple automation assertions.

Learn how to handle Python exceptions with try and except, manage zero division errors, apply finally blocks, and implement retry logic or user defined exceptions to keep execution uninterrupted.

Master how python's try, except, and else blocks manage normal and exceptional flows. See that else runs only when no exception occurs, while except handles errors in the caption's examples.

Explore try, except, else, and finally blocks in Python to handle errors. See how finally executes always and how else runs only when no exception occurs.