June 25, 2025 vibssingh

PyTest Multiple Choice Questions – MCQ2

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Welcome to the Pytest Framework Quiz! This blog post features 25 multiple-choice questions that explore concepts of Pytest Framework.

1. What is pytest primarily used for?

Select the best answer

a) Web development
b) Data science
c) Testing Python code
d) Network programming

Answer 1

c) Testing Python code

2. How can you configure Pytest to show the output of print statements in test runs?

Choose one option

a) Pytest -s
b) Pytest -v
c) Pytest -x
d) Pytest -k

Answer 2

a) Pytest -s

The `-s` option disables output capturing, allowing print statements to display their output in the terminal.

3. Which pytest plugin is used to measure code coverage of tests?

Choose one option

a) pytest-cov
b) pytest-cover
c) pytest-covplugin
d) pytest-check

Answer 3

a) pytest-cov

You can run Pytest tests with coverage analysis by using the option “–cov”, followed by the name of the module or package to analyze.

4. How can you run a specific test function within a test file using pytest?

Choose one option

a) pytest test_filename::test_function_name
b) pytest -run=test_function_name
c) pytest –function=test_function_name
d) pytest -f test_function_name

Answer 4

a) pytest test_filename::test_function_name

This command allows you to execute only the specified test function within the given test file.

5. What does the `pytest.raises` context manager do?

Choose one option

a) Logs exceptions
b) Retrieves exception details
c) Asserts that a specific exception is raised
d) Avoids exception processing in tests

Answer 5

c) Asserts that a specific exception is raised

Pytest.raises() is used to test if a specific exception is raised during the execution of a Pytest test.

6. How can you generate a JUnit-style XML test report in Pytest?

a) Pytest –junitxml=report.xml
b) Pytest –xml-report=report.xml
c) Pytest –report-junit=report.xml
d) Pytest –junit=report.xml

Answer 6

a) Pytest –junitxml=report.xml

You can generate a JUnit-style XML test report in Pytest by using the option “–junitxml”, followed by the name of the report file.

7. What is the purpose of the assert statement in Pytest tests?

a) To define test fixtures
b) To skip certain tests
c) To define and manage test parameters
d) To check test results and raise an exception if they are not as expected

Answer 7

d) To check test results and raise an exception if they are not as expected

8. What is the purpose of Pytest plugins?

Choose one option

a) To define and manage test fixtures and hooks
b) To extend the functionality of Pytest
c) To skip certain tests
d) To collect and report test results

Answer 8

b) To extend the functionality of Pytest

9. What is the purpose of the Pytest-mock library?

Choose one option

a) To provide mocking functionality for Pytest tests
b) To provide a framework for testing asynchronous code
c) To provide performance testing functionality for Pytest tests
d) To provide load testing functionality for Pytest tests

Answer 9

a) To provide mocking functionality for Pytest tests

The Pytest-mock library is used to provide mocking functionality for Pytest tests.

10. What is the purpose of the Pytest-bdd library?

Choose one option

Answer 10

d) To provide a behavior-driven development (BDD) testing framework for Pytest tests

The Pytest-bdd library is used to provide a behavior-driven development (BDD) testing framework for Pytest tests.

11. How can you run Pytest tests on multiple Python versions?

Choose one option

a) By using the tox tool
b) By using the Pytest-xdist plugin
c) By using the Pytest-cov plugin
d) By using the Pytest-flake8 plugin

Answer 11

a) By using the tox tool

Tox is a tool specifically designed to automate testing across multiple Python environments, allowing you to define configurations for different Python versions in a `tox.ini` file.

12. What is the purpose of the Pytest-html plugin?

Choose one option

Answer 12

d) To generate HTML reports of Pytest test results

13. What is the purpose of the Pytest-xdist plugin?

Choose one option

a) To provide mocking functionality for Pytest tests
b) To provide a framework for testing asynchronous code
c) To provide performance testing functionality for Pytest tests
d) To distribute Pytest tests across multiple CPUs or machines

Answer 13

d) To distribute Pytest tests across multiple CPUs or machines

The Pytest-xdist plugin is used to distribute Pytest tests across multiple CPUs or machines.

14. What is the purpose of the Pytest-cov plugin?

Choose one option

Answer 14

d) To provide coverage analysis for Pytest tests

15. How can you mark a Pytest test with a custom label?

Choose one option

a) @Pytest.label
b) @Pytest.tag
c) @Pytest.mark.label
d) @Pytest.mark.tag

Answer 15

d) @Pytest.mark.tag

16. Can we run tests in pytest parallely?

Choose one option

a) Yes
b) No

Answer 16

a) Yes

17. How can you run Pytest tests in parallel?

Choose one option

a) Pytest -n
b) Pytest -x
c) Pytest -k
d) Pytest -p

Answer 17

a) Pytest -n

You can run Pytest tests in parallel by using the option “-n”, followed by the number of workers to use.

18. Which marker in pytest is used to execute tests serially, avoiding parallel execution?

Choose one option

a) @pytest.single
b) @pytest.serial
c) @pytest.mark.no_parallel
d) @pytest.mark.run

Answer 18

c) @pytest.mark.no_parallel

19. How do you parameterize tests in pytest?

a) Use @pytest.param
b) Use @pytest.mark.variable
c) Use @pytest.mark.parametrize
d) Use @pytest.parameterize

Answer 19

c) Use @pytest.mark.parametrize

20. What is the purpose of pytest’s `-q` option?

a) Run tests quietly with minimal output
b) Enable quick testing mode
c) Execute tests without dependencies
d) Provide a verbose output

Answer 20

a) Run tests quietly with minimal output

21. How do you add an environmental variable before running tests in pytest?

a) Use @env
b) Use pytest.env_var
c) Use the custom fixture setup
d) Directly set the variable in the terminal

Answer 21

d) Directly set the variable in the terminal

Setting environment variables directly in the terminal is a common way to configure the environment before running pytest tests.

22. Which pytest feature allows grouping and organizing test codes logically?

a) Packages
b) Test Suites
c) Collections
d) Test Modules

Answer 22

b) Test Suites

23. What is the function of pytest.ini or tox.ini in the context of pytest?

a) To manage test assertions
b) To configure pytest options and plugins
c) To store test logs
d) To compile test code

Answer 23

b) To configure pytest options and plugins

24. How can test output be redirected to a file in pytest?

a) Use –logfile=file.log
b) pytest –log=file.log
c) Redirect output manually in the terminal
d) pytest test.py > output.log

Answer 24

d) pytest test.py > output.log

The command pytest test.py > output.log is used to execute tests in a file named test.py using pytest, while redirecting the console output to a file named output.log

25. How do you ignore warnings in pytest test outputs?

a) –ignore-warnings
b) –restrict-warnings
c) –disable-warnings
d) pytest does not support ignoring warnings

Answer 25

c) –disable-warnings

You can use the --disable-warnings command-line option to suppress the warning summary entirely from the test run output.

We would love to hear from you! Please leave your comments and share your scores in the section below

June 17, 2025June 23, 2025 vibssingh

How to Use Pytest for REST API Testing

Last Updated On

June 23, 2025

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Pytest is a versatile testing framework in Python. It can be used for various types of testing, like REST API testing. In this tutorial, we will test Rest API in PyTest Framework.

Table of Contents

Prerequisite:

Python is installed on the machine
PIP is installed on the machine
PyCharm or other Python Editor is installed on the machine

If you need help in installing Python, please refer to this tutorial – How to Install Python on Windows 11.

If you need help in installing PyCharms, please refer to this tutorial – How to install PyCharms on Windows 11.

Implementation Steps

Step 1 – Setup and Required Libraries

1.1 Install pytest

pip install -U pytest

1.2 Install requests

pip install pytest requests

Step 2 – Setup PyTest Project

2.1 Create a new project folder and open it in PyCharm.

2.2 – Go to the project folder and create a new python file – test_restapi.py.

2.3 – Add requests package to the PyCharms

Go to File->Settings ->Project: PyTest_Framework->Python Interpreter.

Click on the “+” sign and enter allure-r in the search bar. It will show a list of packages. Select the “requests” package and click on the “Install Package”.

Once the package is installed, we will see the message that the package is installed successfully.

Step 3- Writing Test Cases

import pytest
import requests

BASE_URL = "https://reqres.in/api"

def test_get_endpoint():
       response = requests.get(f"{BASE_URL}/users/2")
       assert response.status_code == 200
       assert response.json()["data"]["email"]   == "janet.weaver@reqres.in"
       assert response.json()["data"]["id"] == 2
       assert response.json()["data"]["first_name"] == "Janet"
       assert response.json()["data"]["last_name"] == "Weaver"

def test_post_endpoint():
       payload = {"name": "Vibha", "job": "CTO"}
       headers = {"x-api-key": "reqres-free-v1"}

       response = requests.post(f"{BASE_URL}/users", headers=headers, json=payload)

       print(response.status_code)
       print(response.text) 
       assert response.status_code == 201
       assert response.json()["name"] == "Vibha"

Explanation

This is the base URL pointing to the API server on which the endpoints will be tested.

BASE_URL = "https://reqres.in/api"

1.Function: test_get_endpoint()

Sends a GET request to fetch user details with ID 2.

response = requests.get(f"{BASE_URL}/users/2")

Verifies that the response status is 200, indicating success.

assert response.status_code == 200

Checks that the email, id, first_name and last_name in the response matches the expected value.

assert response.json()["data"]["email"]   == "janet.weaver@reqres.in"
assert response.json()["data"]["id"] == 2
assert response.json()["data"]["first_name"] == "Janet"
assert response.json()["data"]["last_name"] == "Weaver"

2. Function: test_post_endpoint()

Defines the payload (data) to be sent in the POST request, specifying the name and job.

payload = {"name": "Vibha", "job": "CTO"}

Sets a custom header.

headers = {"x-api-key": "reqres-free-v1"}

Sends a POST request with the payload and headers.

response = requests.post(f"{BASE_URL}/users", headers=headers, json=payload)

Print the status code and response text for debugging purposes.

print(response.status_code)
print(response.text)

Checks whether the server returned a status code of 201, indicating resource creation.

assert response.status_code == 201

Validates that the name returned in the response matches the submitted name “Vibha”.

assert response.json()["name"] == "Vibha"

Step 4- Running the Tests

pytest test_api.py

The output of the above execution is

If you have pytest-html plugin already installed, then we can generate a HTML Report also. To learn more, please refer to this – How to generate HTML Report in PyTest Framework

pytest test_api.py --html=report.html

The report.html report will be generated in the root directory.

Step 5 – Generating HTML report

Right-click and open with Web Browser.

Enhancements and Best Practices:

Use fixtures for setting up test data or configuration if needed.
Use parameterized testing to run a test function with multiple sets of inputs.
Consider organizing tests in different files based on different functionalities or endpoints in your API.

That’s it! Congratulations on making it through this tutorial and hope you found it useful! Happy Learning!!

June 5, 2025 vibssingh

Pytest Multiple Choice Questions – MCQ1

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HOME

Welcome to the Pytest Framework Quiz! This blog post features 25 multiple-choice questions that explore concepts of Pytest Framework.

1. What is Pytest?

Select the best answer

a) A test automation framework for Python
b) A programming language
c) A code editor
d) A version control system

Answer 1

a) A test automation framework for Python

2. What is the file naming convention for Pytest test files?

Choose one option

a) test_
b) Pytest_
c) testfile_
d) Pytestfile_

Answer 2

a) test_

Pytest test files typically start with the prefix “test_”, which allows Pytest to automatically discover and execute these files as test suites.

3. What file extension is commonly used for pytest test files?

Choose one option

a) .pytest
b) .py
c) .test
d) .pt

Answer 3

b) .py

Pytest test files use the standard Python file extension “.py” and typically start with the prefix “test_” to facilitate test discovery.

4. How can you run a specific Pytest test file?

Choose one option

a) Pytest
b) Pytest test_file.py
c) Pytest -k “test_function”
d) Pytest –collect-only

Answer 4

b) Pytest test_file.py

This command will execute all the test cases available in the specified test file.

5. What is the purpose of fixtures in Pytest?

Choose one option

a) To define and manage test dependencies
b) To skip certain tests
c) To define and manage test parameters
d) To collect and report test results

Answer 5

a) To define and manage test dependencies

Fixtures are used to set up preconditions and cleanup actions, providing a reliable way to create shared test data or manage state that you need to be available throughout your test functions.

6. Which pytest feature allows you to run setup and teardown code for test functions?

a) Fixtures
b) Hooks
c) Parameters
d) Mocks

Answer 6

a) Fixtures

7. What is the purpose of conftest.py in Pytest?

a) To define and manage test fixtures and hooks shared across tests
b) To define and manage test parameters
c) To skip certain tests
d) To collect and report test results

Answer 7

a) To define and manage test fixtures and hooks shared across tests

conftest.py is a file in Pytest that is used to define and manage test fixtures and hooks, which can be used across multiple test files.

8. What is the purpose of using `yield` in pytest fixtures?

Choose one option

a) To iterate over test cases
b) To pause execution and return a value to the test
c) To define global test variables
d) To log results of a test

Answer 8

b) To pause execution and return a value to the test

9. In a pytest fixture, what follows the execution of the code after the `yield` statement?

Choose one option

a) Initialization code only
b) Fixture teardown code
c) More test assertions
d) Fixture setup code

Answer 9

b) Fixture teardown code

The yield statement is used in fixtures to create a setup and teardown mechanism for test resources. When a fixture contains a yield statement, the code before the yield acts as the setup code (code executed before the test), and the code after the yield acts as the teardown code (code executed after the test).

10. Can a pytest fixture using `yield` return multiple values to a test function?

Choose one option

a) Yes, using multiple yield statements
b) No, it can return only one value per test
c) Yes, using a list of values
d) Only when combined with a generator object

Answer 10

b) No, it can return only one value per test

11. What happens if you attempt to use both `yield` and `return` in the same pytest fixture?

Choose one option

a) The fixture will execute both statements
b) The fixture will prioritize the return statement
c) It will result in a syntax error
d) The fixture will use the yield statement first

Answer 11

c) It will result in a syntax error

12. How is a fixture defined in pytest?

Choose one option

a) As a class method
b) Using the `pytest.fixture` decorator
c) Within a `class TestFixture`
d) As a test function with “fix_” prefix

Answer 12

b) Using the `pytest.fixture` decorator.

Below is an example of fixture. In this example, the setup fixture is defined using the @pytest.fixture decorator. It will be executed before any test. The test function (test_fixture) use this fixture as an argument.

import pytest
 
@pytest.fixture()
def setup():
    print("This will be executed before any test")
 
 
def test_fixture(setup):
    print("This is the fixture main method")

13. How can you make a fixture available to test functions without directly invoking it?

Choose one option

a) By importing the fixture
b) By naming the fixture with a test prefix
c) By declaring the fixture in a `conftest.py` file
d) By specifying the fixture in the test command

Answer 13

c) By declaring the fixture in a `conftest.py` file

14. Which parameter in pytest allows a fixture to be shared among multiple tests within the same module or session?

Choose one option

a) scope=”local”
b) scope=”shared”
c) scope=”global”
d) scope=”module” or scope=”session”

Answer 14

d) scope=”module” or scope=”session”

15. How can you access fixture parameters in pytest?

Choose one option

a) Through global variables
b) As a return value from a fixture function
c) By using the `request.param` attribute
d) As environment variables

Answer 15

c) By using the `request.param` attribute

When a fixture is parameterized, you can use the `request` object within the fixture to access the individual parameter values with `request.param`.

16. How can a fixture be used only if a specific condition is met?

Choose one option

a) By declaring fixture dependencies
b) By using conditional statements inside the test
c) By combining fixtures with marks
d) By using hooks

Answer 16

b) By using conditional statements inside the test

While pytest itself does not provide a built-in feature to conditionally use fixtures, you can write conditional logic in your test functions to decide if a fixture should be applied or not, based on certain conditions.

17. How can you mark a test as expected to fail in Pytest?

a) @Pytest.xfail
b) @Pytest.mark.xfail
c) @Pytest.expected_failure
d) @Pytest.mark.expected_failure

Answer 17

b) @Pytest.mark.xfail

You can mark a test as expected to fail in Pytest by using the decorator “@Pytest.mark.xfail”.

18. How can you skip a test in pytest?

a) @skip
b) @pytest.mark.skip
c) @pytest.ignore
d) @skipTest

Answer 18

b) @pytest.mark.skip

19. How can you skip a Pytest test conditionally?

a) @Pytest.skipif
b) @Pytest.mark.skip
c) @Pytest.mark.skipif
d) @Pytest.skip

Answer 19

c) @Pytest.mark.skipif

This allows you to specify a condition under which the test will be skipped. The condition should be a boolean expression.

20. How can you set up and use a Pytest test fixture?

Choose one option

a) By using the @Pytest.fixture decorator
b) By using the @Pytest.setup decorator
c) By using the @Pytest.test fixture decorator
d) By using the @Pytest.run decorator

Answer 20

a) By using the @Pytest.fixture decorator

This decorator is used to mark a method in your test code as a fixture, allowing you to set up some context or state before running a test function.

21. How can you select and run specific Pytest tests based on their name?

a) Pytest -m “marker”
b) Pytest -k “expression”
c) Pytest –collect-only
d) Pytest –last-failed

Answer 21

b) Pytest -k “expression”

The `-k` option allows you to specify an expression to match test names or keywords you want to run.

def test_addition():
    # Test addition functionality
    pass

def test_subtraction():
    # Test subtraction functionality
    pass

Command to run tests with names containing “add”: pytest -k “add”

22. How can you run tests that are marked with a specific tag using pytest?

a) pytest --tag=name
b) pytest -k name
c) pytest --only-mark=name
d) pytest -m name

Answer 22

c) pytest -m name

The `-m` option allows you to specify which tests to run based on their marker. Command to run tests marked as `slow`: pytest -m slow

import pytest

@pytest.mark.slow
def test_long_running():
    # Simulates a long-running test
    pass

@pytest.mark.fast
def test_quick():
    # Simulates a quick test
    pass

23. What command-line option increases test output verbosity in pytest?

a) –silent
b) -v
c) –minimal
d) -verbosity

Answer 23

b) -v

24. How do you make a test dependent on another test in pytest?

a) Use @pytest.depends
b) Use pytest.dependency_marker
c) Pytest does not support direct dependency management
d) Use @pytest.mark.dependson

Answer 24

c) Pytest does not support direct dependency management

In pytest, tests are generally designed to be independent of one another. The framework encourages writing self-contained tests without direct dependencies, though there are plugins like `pytest-dependency` that can help manage dependencies if needed.

25. How would you access the fixture return value in a test function?

a) Utilize context managers
b) Call directly by name
c) Assign during fixture setup
d) Pass as a parameter to the test function

Answer 25

d) Pass as a parameter to the test function

We would love to hear from you! Please leave your comments and share your scores in the section below

March 6, 2024 vibssingh

What is Fixture in PyTest?

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In this tutorial, we will understand the use of Fixtures in the PyTest Framework.

What is a Fixture?

Fixtures define the steps and data that constitute the arranged phase of a test. In PyTest, they are functions we define that serve this purpose. They can also be used to define a test’s act phase; this is a powerful technique for designing more complex tests.

Fixture can be used to set up and tear down resources, such as establishing database connections, creating temporary files, initializing objects, or any other operations needed to prepare the environment for your tests.

Fixtures in pytest are created using the @pytest.fixture decorator.

Below is an example of a fixture.

import pytest

@pytest.fixture()
def setup():
    print("This will be executed before any test")


def test_fixture(setup):
    print("This is the fixture main method")

In this example, the setup fixture is defined using the @pytest.fixture decorator. It will be executed before any test. The test function (test_fixture) use this fixture as an argument.

The output of the above program is

What is yield in PyTest?

Below is an example of yield.

import pytest


@pytest.fixture()
def setup():
    print("This will be executed before any test")
    yield
    print("This will be executed after any test")


def test_fixture(setup):
    print("This is the fixture main method")

The output of the above program is

That’s it! Congratulations on making it through this tutorial and hope you found it useful! Happy Learning!!

March 5, 2024September 18, 2025 vibssingh

PyTest Framework

Last Updated On

September 18, 2025

HOME

PyTest is a testing framework that allows users to write test codes using Python programming language. PyTest is a mature, full-featured Python testing tool that helps you write better programs.

PyTest Basics and Core Concepts

Chapter 1 What is PyTest Framework?

Chapter 2 What is fixture in PyTest?

Chapter 3 What is conftest.py in PyTest?

Chapter 4 How to skip tests in PyTest – skip, skipIf, xfail

Chapter 6 Parameterizing test with multiple data sets using Fixtures in PyTest

Test Reporting & Logging

Chapter 1 How to generate HTML report in PyTest Framework?

Chapter 2 PyTest Logging to print to console

Chapter 3 PyTest Logging to print to a file

Chapter 4 Integration of Allure Report with PyTest

Selenium with PyTest

Chapter 1 Page Object Model Implementation of Python with Selenium – PyTest
Chapter 2 Cross Browser Testing in PyTest

API Testing

Chapter 1 How to handle HTTP Query Parameters in Python

Chapter 2 How to Use Pytest for REST API Testing

Behavior Driven Development (BDD) with PyTest

Chapter 1 PyTest – BDD (Behavioural Driven Development) with Selenium

Chapter 2 Scenario Outline in PyTest – BDD

Chapter 3 Filtering by tags in PyTest-BDD

CI/CD and Automation Integration

Chapter 1 How to run PyTest Framework in GitHub Actions

Chapter 2 How to run Python Selenium tests in Jenkins

Multiple Choice Questions

Pytest Multiple Choice Questions – MCQ1 – NEW

Pytest Multiple Choice Questions – MCQ2 – NEW

March 1, 2024October 5, 2024 vibssingh

What is PyTest Framework?

Last Updated On

October 5, 2024

HOME

In this tutorial, we will discuss the Pytest Framework.

Table of Contents

What is Pytest Framework?

PyTest is a popular testing framework for Python. It is widely used for writing and executing unit tests, functional tests, and even complex functional testing scenarios.

pytest requires: Python 3.7+ or PyPy3.

Key features of PyTest include:

1. Fixture Support: pytest supports fixtures, which are functions that can set up and tear down resources needed for testing. This makes it easy to share setup code among multiple tests.

2. Powerful Test Discovery: pytest automatically discovers and runs test functions based on naming conventions. We don’t need to explicitly list your tests; instead, the framework discovers and executes them.

3. Parameterized Testing: We can easily perform parameterized testing using pytest, allowing us to run the same test logic with multiple sets of input data.

4. Integration with Other Tools: pytest integrates well with other tools and libraries, such as Selenium for web testing, Django for web application testing, integrate report generation and more.

5. Assertions: pytest allows us to use the standard Python assert for verifying expectations and values in Python tests.

6. Advanced Test Execution: pytest provides rich features for executing tests, including parallel test execution, selective test execution, and rerunning failed tests.

How to install PyTest?

We need to make sure that Python is already installed. If not, then please refer to this tutorial - How to Install Python on Windows 11.

If you need help in installing PyCharms, please refer to this tutorial – How to install PyCharms on Windows 11.

To install pytest, use the below command:

pip install pytest

Create a PyTest test

Create a new project folder and open it in PyCharm.

Go to the project folder and Create a new Python file, name it “sample_test.py”.

Create tests in the Python file.

def test_addition():
    a = 6
    b = 5
    c = 11

    assert a + b == 11, "Sum is not 11"
    assert a + b == c, "Sum of a and b is not equal to c"


def test_subtraction():
    x = 15
    y = 4
    z = 18

    assert x - y == z, "Subtract y from x is equal to z"

To run the tests, use the below command:

pytest

This command will run all the test file which has *test* in its name. Here, we have 1 Python file named as Sample_test.py. This file has 2 test, one of the test passes and another one fails. In the failures section, we can see the failed method(s) and the line of failure. Here x-y=z means 15-4=10 which is false.

The output of the above execution is

How PyTest Identifies the Test Files and Test Methods

By default pytest only identifies the file names starting with test_ or ending with _test as the test files. We can explicitly mention other filenames though (explained later). Pytest requires the test method names to start with “test.” All other method names will be ignored even if we explicitly ask to run those methods.

See some examples of valid and invalid pytest file names

test_sample - valid
sample_test - valid
sample_tests - invalid
testsample - invalid
sampletest - invalid

We can explicitly ask pytest to pick sample_tests.py, testsample.py and sampletest.py.

January 9, 2024August 28, 2024 vibssingh

Python Tutorials

Last Updated On

August 28, 2024

HOME

Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented, and functional programming.

Robot Framework

Configure Selenium with Python

Python Requests

PyTest Framework

Excel Manipulation in Python

Chapter 1 Reading Excel Data in Python using openpyxl

Chapter 2 Create and Format Excel Files with Python Openpyxl – Tutorial

Chapter 3 Appending Data to Excel with Python using openpyxl – NEW

QA Automation Expert

Automation solutions to build Test Framework

PyTest Framework

PyTest Multiple Choice Questions – MCQ2

How to Use Pytest for REST API Testing

Prerequisite:

Implementation Steps

Step 1 – Setup and Required Libraries

Step 2 – Setup PyTest Project

Step 3- Writing Test Cases

Step 4- Running the Tests

Step 5 – Generating HTML report

Pytest Multiple Choice Questions – MCQ1

What is Fixture in PyTest?

What is a Fixture?

What is yield in PyTest?

PyTest Framework

What is PyTest Framework?

What is Pytest Framework?

Key features of PyTest include:

How to install PyTest?

Create a PyTest test

How PyTest Identifies the Test Files and Test Methods

Python Tutorials