PyTest Tutorial | Unit Testing Framework In Python | How to use PyTest | Python Training | Edureka

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This Edureka video on 'Pytest' will help you understand how we can write simple tests in python with a use case for testing an API. Following are the topics discussed:

What is Pytest?
Getting Started With Pytest
Create Your First Test With Pytest
Multiple Tests
Grouping Multiple Tests
Pytest Fixtures
Parameterized Tests
Testing An API Using Pytest

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#Edureka #PythonEdureka #pytest #pythonprojects #pythonprogramming #pythontutorial #PythonTraining
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How does it work?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive, and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors, and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques, and Regular expressions and using modules in Python
5. Gain expertise in machine learning using Python and build a Real-Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands-on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built-in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
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Who should go for python?

The Python Programming Certification Course is a good fit for the below professionals:
Programmers, Developers, Technical Leads, Architects, Freshers
Data Scientists, Data Analysts
Statisticians and Analysts
Business Analysts
Project Managers
Business Intelligence Managers

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Комментарии

Thank you for this concise intro to using pytest. I learned more about pytest in 20 minutes than I did in 3 separate hour-long training sessions with my veteran coworkers! Not once did they mention that pytest was used for unit testing, I would have gotten it a lot sooner had they simply said so! Definitely going to pass this on to any new coworkers that also will be using pytest as a fantastic starting point!

tonybhanot

Iam trying this pytest with my practise material.Its showing 'collection error ' after running unit tests.why???.can u help me with this

shamilikolli

Nice one thank you.
Wanted to understand how CRUD call gets mocked in pytest.

ganeshingle

thank you for a simple way to explaining why we need fixtures.

vlad_i_mir

Very good and funny videos bring a great sense of entertainment!

thatriewichatsaeree

nice explanation
one suggestion: if you could reduce saying guyz, guyz, guyz, it will be good to hear..it is actually annoying. sorry to say this.

ilakkuvan

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