Introduction to Python

• Introduction to programming paradigms
• Python’s history and popularity
• Installing Python and setting up an IDE (e.g., Visual Studio Code, PyCharm)
• Running Python programs and using the interactive shell
• Understanding Python’s philosophy (PEP 8)
• Basic syntax and indentation rules

 Python Basics

• Variables: naming conventions, assignment
• Data types: int, float, str, bool
• Type conversion and casting
• Strings: operations, methods, formatting
• Numeric operations: arithmetic, precedence
• Boolean logic: and, or, not

 Control Flow

• Conditional statements: if, elif, else
• Comparison operators: ==, !=, <, >, <=, >=
• Logical operators: and, or, not
• Nested conditionals and complex conditions
• Loops: while loop, for loop
• Using the range() function for iteration
• Loop control: break, continue, pass

Data Structures

• Lists: creation, indexing, slicing, modifying
• List methods: append, insert, remove, pop, sort
• Tuples: creation, indexing, immutability
• Sets: creation, adding, removing, set operations
• Dictionaries: creation, accessing, adding, updating, deleting
• List comprehensions and generator expressions

 Functions and Modules

• Functions: definition, parameters, return values
• Scope: local, global, nonlocal
• Lambda functions: syntax, use cases
• Modules: creating and using custom modules
• Importing modules and using functions from modules
• Exploring Python’s standard library
• Packages and managing dependencies using pip

 File Handling and Exception Handling

• Reading and writing text files
• Handling file paths and directories
• Working with different file formats: CSV, JSON
• Exception handling: try, except, else, finally
• Handling multiple exceptions and raising exceptions
• Custom exceptions and error messages

 Object-Oriented Programming (OOP)

• Introduction to OOP concepts
• Classes and objects: attributes, methods
• Constructors: init() method
• Inheritance: base class, derived class, method overriding
• Encapsulation: public, private, protected
• Polymorphism: method overloading, method overriding
• Abstract classes and interfaces

 Design Patterns in Python

• Creational Patterns: Singleton, Factory, Abstract Factory, Builder
• Structural Patterns: Adapter, Decorator, Proxy, Composite
• Behavioral Patterns: Observer, Strategy, Command, Template Method
• Implementing each design pattern in Python

 Advanced Concepts

• Decorators: creating and using decorators
• Generator functions and the yield keyword
• Iterators and iterables
• Context managers and the with statement
• List comprehensions, dictionary comprehensions, set comprehensions
• Using map(), filter(), and reduce() functions

Introduction to API Testing and requests Library

• Understanding the role of API testing in software development
• Exploring real-world examples of APIs and their usage
• Introduction to the requests library and its features
• Setting up the development environment: installing Python and requests

HTTP Basics

• Explaining the client-server architecture in HTTP
• Understanding the core HTTP methods: GET, POST, PUT, DELETE
• Exploring the structure of HTTP requests and responses
• Overview of common HTTP status codes and their meanings

Making Requests

• Importing the requests library and making the first GET request
• Understanding the anatomy of a URL and endpoint
• Examining the structure of a response object from a GET request
• Using the response.text attribute to access the response content

 Query Parameters and Headers

• Adding query parameters to GET requests for filtering data
• Sending headers with requests: User-Agent, Accept, Content-Type
• Handling different response formats (JSON, XML, HTML)

Making POST Requests

• Sending data in the request body using the POST method
• Differentiating between form data and JSON payloads
• Handling response data from POST requests

Handling Authentication

• Understanding authentication methods (Basic Auth, Bearer Token)
• Sending Basic Authentication headers with requests
• Adding authentication tokens to headers for secure requests

 Cookies and Sessions

• Handling cookies in web applications and API requests
• Using the Session object to maintain cookies across requests
• Managing authentication and stateful sessions

 Handling Response Data

• Parsing JSON responses using the json module
• Extracting data from JSON responses using Python dictionaries
• Handling different types of response content (text, binary)

 Error Handling and Status Codes

• Dealing with different HTTP status codes in responses
• Handling errors gracefully using try-except blocks
• Raising custom exceptions for specific error scenarios

Advanced Topics

• Uploading files using POST requests (multipart/form-data)
• Sending and receiving data in XML format
• Handling redirects and automatically following links
• Customizing request timeout and retries

 Introduction to Testing and Pytest

• Understanding the importance of testing in software development
• Introduction to testing frameworks and pytest’s features
• Setting up the development environment: installing Python and pytest

Writing Your First Test

• Exploring the structure of a basic pytest test function
• Creating a test file and organizing tests
• Running tests using the pytest command-line interface

Test Discovery and Naming Conventions

• Understanding pytest’s test discovery mechanism
• Naming conventions for test functions and files
• Using wildcard patterns to discover tests in a directory

Writing Test Functions

• Writing test functions with descriptive names
• Using assertion statements to validate test outcomes
• Running tests and interpreting pytest’s test results

Test Fixtures and Setup/Cleanup

• Introduction to test fixtures and their purpose
• Creating fixtures using the @pytest.fixture decorator
• Using fixtures for test setup and cleanup operations

 Parametrized Testing

• Understanding parametrized testing and its benefits
• Using the @pytest.mark.parametrize decorator
• Running the same test with multiple input combinations

Skipping and Marking Tests

• Skipping tests using the @pytest.mark.skip decorator
• Conditional skipping based on specific conditions
• Marking tests with custom labels for selective test execution

Test Coverage and Reporting

• Measuring code coverage with pytest-cov plugin
• Generating coverage reports and interpreting the results
• Generating HTML reports for detailed coverage analysis

1. Reading from Files:

   • Built-in open(): For reading plain text files.
   • csv: For reading and writing CSV files.
   • json: For reading and writing JSON files.
   • pickle: For reading and writing Python-specific serialized data.
   • xlsxwriter: For reading Excel (.xlsx) files.
   • xlrd: For reading Excel (.xls) files.

2. Database Access:

   • sqlite3: For SQLite database access.
   • SQLAlchemy: For working with various SQL databases.
   • pymysql, psycopg2, cx_Oracle: For specific database engines like MySQL, PostgreSQL, and Oracle.

3. Web Data:

   • requests: For making HTTP requests and fetching web data.
   • beautifulsoup4: For web scraping and parsing HTML content.
   • lxml: An alternative library for parsing XML and HTML content.

4. API Data:

   • requests: For making API requests and handling responses.
   • pycurl: For making HTTP requests with more advanced features.
   • http.client: For low-level HTTP interactions.

Topics for Discussion:

Introduction to Behavior-Driven Development (BDD) and Behave

• Understanding the principles of BDD and its benefits
• Introduction to the Behave library for BDD in Python
• Setting up the development environment: installing Python and Behave

Gherkin Syntax and Feature Files

• Exploring the Gherkin syntax: Feature, Scenario, Given-When-Then
• Creating and structuring feature files with real-world examples
• Defining scenarios, steps, and placeholders in feature files

Installing and Running Behave

• Installing the Behave library using pip
• Running Behave tests using the behave command
• Customizing test execution using command-line options

 Step Definitions and Implementation

• Understanding step definitions and their role in BDD
• Creating step definition files for feature steps
• Mapping Gherkin steps to Python functions using decorators

 Passing Data Between Steps

• Sharing data between step definitions using context
• Using step argument transformations for data conversion
• Handling dynamic values and variables in scenarios

Using Hooks

• Understanding hooks and their execution order
• Implementing before_scenario and after_scenario hooks
• Using hooks for setup and teardown operations

 Scenario Outlines and Parametrized Testing

• Working with scenario outlines to run the same scenario with different data
• Using data tables in scenario outlines for parametrized testing

 Tags and Test Organization

• Using tags to categorize and filter scenarios
• Running specific scenarios using tag expressions
• Organizing tests using tags for different test suites

 Background and Given Steps

• Understanding the Background section in feature files
• Using Given steps to set up common preconditions
• Enhancing scenario readability and maintainability

Advanced Topics

• Customizing Behave configuration using behave.ini and command-line options
• Using environment variables to parameterize Behave runs
• Writing custom step decorators and step argument transformations

Integrating with Test Frameworks (Optional)

• Integrating Behave with other testing frameworks (e.g., unittest, pytest)
• Combining BDD-style tests with traditional unit tests

Reporting and Test Documentation

• • Generating human-readable test reports using different formatters
  • Creating test documentation from Gherkin feature files
  • Interpreting test results and identifying failures

•  Learn Locating Elements

•  Interacting With Elements

•  Interacting With Dynamic Elements

•  Managing Page Drivers

•  Working with Windows/Popup and Frames

•  Working with FileUploads

•  Working with DatePicker

•  Working with JavaScripts

•  Working with Actions

•  Working with Tables

•  Syncronization in Selenium Webdriver

•  Remote Browser Testing with BrowserStack and Selenium Grid

•  Creating Browser Utility

In this module will learn how appium will help us in the (Android) mobile test automation. Appium is an open source test automation framework for use with native, hybrid and mobile web apps.

•  Appium Architecture

•  Setting up the Local Machine for Appium

•  Working with Appium Inspecture

•  Working with Gestures in Appium

•  Working Page Object Design Pattern in Appium

•  Taking Screenshots in Appium

•  Continous Integration with Jenkins

Introduction to Jenkins

• Introduction to CI/CD and its benefits
• Overview of Jenkins: History and purpose

Advanced Jenkins Concepts

• Installation and setup of Jenkins
• Navigating the Jenkins dashboard
• Creating and managing Jenkins jobs

CI/CD and Deployment Automation

• Configuring deployment pipelines with Jenkins
• Using tools like Docker for containerization in the deployment process
• Managing configuration and environment variables in Jenkins
• Security best practices for Jenkins: Authentication, authorization, and access control

Introduction to Docker and Containerization

• Understanding the need for containerization
• Overview of Docker: History and purpose
• Core concepts: images, containers, and registries
• Installation and setup of Docker on different platforms
• Basic Docker commands and CLI usage

Docker Images and Containers

• Creating Docker images: Dockerfile and layers
• Building custom images for different applications
• Managing containers: creation, starting, stopping, and removal
• Data persistence and volumes in Docker