Learn API Automation Testing with Python BDD Framework

Learn API Automation Testing with Python & BDD Framework, available at $109.99, has an average rating of 4.57, with 81 lectures, 7 quizzes, based on 2252 reviews, and has 16695 subscribers.

You will learn about Get Complete knowledge on Back end automation with Python which is must to become Python SDET Understanding the API Automation from Scratch with Python Requests Library Knowledge on implementing Database readers to communicate with DB from Python code Establishing Connection with Linux Servers through Python Paramiko Library Implement BDD Automation Framework for Python API Testcases from Scratch Execute Batch Jobs in AWS Linux Servers and download the files to local using Python Integrate the Database resutls to API and build dynamic Json Payloads Knowledge on Web Scrapping to extract content from Web pages for Data science work This course is ideal for individuals who are Manual testers, Non-programming aware testers interested in learning Automation or Freshers/Graduates who want to kick start their Career in IT World It is particularly useful for Manual testers, Non-programming aware testers interested in learning Automation or Freshers/Graduates who want to kick start their Career in IT World.

Enroll now: Learn API Automation Testing with Python & BDD Framework

Summary

Title: Learn API Automation Testing with Python & BDD Framework

Price: $109.99

Average Rating: 4.57

Number of Lectures: 81

Number of Quizzes: 7

Number of Published Lectures: 78

Number of Published Quizzes: 7

Number of Curriculum Items: 88

Number of Published Curriculum Objects: 85

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Get Complete knowledge on Back end automation with Python which is must to become Python SDET

Understanding the API Automation from Scratch with Python Requests Library

Knowledge on implementing Database readers to communicate with DB from Python code

Establishing Connection with Linux Servers through Python Paramiko Library

Implement BDD Automation Framework for Python API Testcases from Scratch

Execute Batch Jobs in AWS Linux Servers and download the files to local using Python

Integrate the Database resutls to API and build dynamic Json Payloads

Knowledge on Web Scrapping to extract content from Web pages for Data science work

Who Should Attend

Manual testers, Non-programming aware testers interested in learning Automation

Freshers/Graduates who want to kick start their Career in IT World

Target Audiences

Manual testers, Non-programming aware testers interested in learning Automation

Freshers/Graduates who want to kick start their Career in IT World

***You will be mastered in Python Back End Automation even if you have never programmed before in Python***
This Python SDET course starts from scratch teaching Python Basics and then drive you through many important utilities of Python like API Testing, BDD API Automation Framework, Database Validations,  CSV Readers, Json Parsers, Batch Jobs execution from Linux Servers, SSH connection to upload and download files, Web scrapping for data science work etc
As Python SDET, One should aware of many modules of python to perform end to end backend/Server side automation and this course comes us one single package which explains all the modules from scratch.

By end of this course, You can confidently implement any Python Automation Jobs or clear any interview related to Python testing.

Below is the high level content this course covers :

Json Parsers with Python modules
Read and Write to Json files with Python
API Automation using requests Library
Understand Crud operations GET,POST, DELETE,PUT API operations automation
Parsing API responses with Python utilities
Database interactions  with Python SQL Connector
BDD Automation Framework development from Scratch
Read the multiple result sets of database tables from Python
Integrating Database readers with API calls to build payload
CSV Parser with Python modules
Read and Write to CSV files with Python
Interacting with AWS Linux Servers
Establishing SSH connection to Linux using Python Paramiko
Sending the commands and executing the jobs in Server through Python
Uploading and downloading the files of batch Jobs from Servers with paramiko
IMportance of Web scrapping in Data science projects
Techniques to apply web scrapping to extract content from web pages

Wish you all the Best with your new Python SDET Journey 馃檪

Course Curriculum

Chapter 1: What will you learn from this course? – MUST WATCH

Lecture 1: FAQs about the course

Lecture 2: Installing Python library, Pip Client and Pycharm Editor

Lecture 3: Important note for MAC Users

Lecture 4: Important Note before watching next section

Chapter 2: Learn Python Programming Basics from Scratch

Lecture 1: Python hello world Program with Basics

Lecture 2: Datatypes in python and how to get the Type at run time

Lecture 3: List Datatype and its operations to manipulate

Lecture 4: Tuple and Dictionary Data types in Python with examples

Lecture 5: How to Create Dictionaries at run time and add data into it

Lecture 6: If else condition in python with working examples

Lecture 7: How loops work in Python and importance of code idendation

Lecture 8: Programming examples using for loop – 1

Lecture 9: Programming examples using While loop – 2

Lecture 10: What are functions? How to use them in Python

Lecture 11: OOPS Principles : Classes and objects in Python

Lecture 12: What is Constructor and its role in Object oriented programming

Lecture 13: Inheritance concepts with examples in Python

Lecture 14: Strings and its functions in python

Lecture 15: How to read text file content using Python

Lecture 16: Importance of readLine and readLines Methods in python

Lecture 17: Writing Data into File using Python

Lecture 18: Code Download

Chapter 3: Read and Write to Json Files and parsing using Python Methods

Lecture 1: Where to download the code files?

Lecture 2: How to Parse Json Strings in Python? – Example

Lecture 3: Parse content in Json file into Dictionary – Example

Lecture 4: Parsing complex Json with nested Structure and extract values

Lecture 5: Compare two Json Schemas using Python Dictionaries with example

Chapter 4: API Automation Testing with Python Requests Library

Lecture 1: Install Python requests Library for API Automation

Lecture 2: Understanding Get http request calls and get response using Json method

Lecture 3: Validating response status codes and headers using response object

Lecture 4: Understand automating Post http request with Payload and headers

Lecture 5: End to end automation flow of API calls using Python

Chapter 5: Setting up Global Properties and OAuth Mechanism for API Testing

Lecture 1: Setting global configurations using Python Config object

Lecture 2: Optimizing resources and payload from externally as reusable data

Lecture 3: Authenticating APIs using Python Automation auth method- Example

Lecture 4: Section 3- 5 Code Download

Chapter 6: API Testing Request Library Miscellaneous Concepts

Lecture 1: Importance of Session Managing in API Testing

Lecture 2: Send and Manage cookies for API request calls

Lecture 3: Time out and Redirection attributes in making request calls

Lecture 4: Sending Attachments through Post request call using Files Dictionary object

Lecture 5: Code Snippet download

Chapter 7: Build SQL Utility to interact with Database Tables from Python Code

Lecture 1: Setting up MYSQL Instance to drive the data from Python Code

Lecture 2: Setup Database with the Example Table Data and start Connection

Lecture 3: SQL Queries download

Lecture 4: Executing Queries on to Database from Python Code

Lecture 5: Iterate over database table results set from Python and parse the results

Lecture 6: Create Connection utility and pass the SQL connection externally into test

Chapter 8: Integrate Database utilities to API Test for End to end Automation

Lecture 1: Integrate Database results into API Test Data to build functional flow

Lecture 2: Code Download

Chapter 9: BDD Framework Development for API Automation from Scratch

Lecture 1: What are the BDD tools we use to Automate in Python Language

Lecture 2: Install Behave and download Python Professional edition

Lecture 3: Create Step Definition file with auto generated syntaxes and annotations

Lecture 4: Implement API Automation actual logic into step Definitions

Lecture 5: Implement Hooks for the scenarios by defining environment.py file

Lecture 6: Implement Parameterization to the Test Scenarios using Example outline Keywords

Lecture 7: Use Tagging mechanism to run selected tests in framework

Lecture 8: Best practices to write reusable step definitions code for API test Scenarios

Lecture 9: Integrate Tagging and hooks to build generalize BDD code for Python API Tests

Lecture 10: Generate Allure reports for Python API BDD Framework

Lecture 11: Complete Code Download

Chapter 10: Read and Write to CSV files with Parsing using Python methods

Lecture 1: Parsing and reading the CSV files using Python csv package

Lecture 2: Building a logic to get the data from CSV based on conditional query

Lecture 3: Parsing and writing back to CSV files using Python csv package

Lecture 4: Where to download code files?

Chapter 11: Python paramiko Utility to communicate with AWS Linux Servers

Lecture 1: Setting up AWS Linux EC2 Instance for solving the project

Lecture 2: Setting up SSH connection in AWS Linux instances

Lecture 3: Install Paramiko Package to establish connection to Servers

Chapter 12: Execute Batch Jobs on Linux Servers through Python SSH Utilities

Lecture 1: Execute commands on Linux Servers from your local machine using Python code

Lecture 2: SFTP Connection to upload and download from server using Python Paramiko

Lecture 3: Example in running batch commands on Linux Servers using Python code

Chapter 13: Web Scrapping to extract content for DataScience Projects using Python

Lecture 1: What is Web Scrapping in Python?

Lecture 2: Beautiful Soap package for Scrapping the content on web pages

Lecture 3: find and findAll methods to parse html content from web pages

Lecture 4: Scrapping Sub urls with href attribute concatenation to requests url

Lecture 5: End to end example of Web scrapping with Python

Lecture 6: Extracting the content from page based on the visible text scrapper

Chapter 14: Download the Full course Code files

Lecture 1: Download complete Project Code

Chapter 15: BONUS LECTURE

Lecture 1: Bonus lecture

Instructors

Rahul Shetty
Teacher over 900K+ QA Students|Founder of RahulShettyAcademy

Rating Distribution

1 stars: 21 votes

2 stars: 26 votes

3 stars: 167 votes

4 stars: 822 votes

5 stars: 1216 votes

Frequently Asked Questions

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