End to End Automation using Python - Web Application API

End to End Automation using Python | Web Application & API, available at $39.99, has an average rating of 4.25, with 109 lectures, based on 109 reviews, and has 3056 subscribers.

You will learn about Expert level knowledge with practical exposer of Python for Realtime implementation Ready to use python in Daily realtime project activities(Manual / Automation) Detailed understanding of python and its implementation in different automation activities Ready to face Python programming interviews for Automation Testing Ready to Write Selenium Automation Scripts single handedly with best practices This course is ideal for individuals who are Manual Testers Looking Opportunity in Python Automation or Professionals looking to switch to python scripting language or Freshers looking for opportunity in Automation Testing or Any professional want to start carrier in python Automation It is particularly useful for Manual Testers Looking Opportunity in Python Automation or Professionals looking to switch to python scripting language or Freshers looking for opportunity in Automation Testing or Any professional want to start carrier in python Automation.

Enroll now: End to End Automation using Python | Web Application & API

Summary

Title: End to End Automation using Python | Web Application & API

Price: $39.99

Average Rating: 4.25

Number of Lectures: 109

Number of Published Lectures: 107

Number of Curriculum Items: 109

Number of Published Curriculum Objects: 107

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Expert level knowledge with practical exposer of Python for Realtime implementation

Ready to use python in Daily realtime project activities(Manual / Automation)

Detailed understanding of python and its implementation in different automation activities

Ready to face Python programming interviews for Automation Testing

Ready to Write Selenium Automation Scripts single handedly with best practices

Who Should Attend

Manual Testers Looking Opportunity in Python Automation

Professionals looking to switch to python scripting language

Freshers looking for opportunity in Automation Testing

Any professional want to start carrier in python Automation

Target Audiences

Manual Testers Looking Opportunity in Python Automation

Professionals looking to switch to python scripting language

Freshers looking for opportunity in Automation Testing

Any professional want to start carrier in python Automation

Recent Updates

Sep 2022 : Updated Python videos with improved Sound Quality

Dec 2021 :  Added videos for Web Scrapping

Jun 2021 : Added Videos for API Response Validation

This is a end to end course to Utilize Python for automating our daily Manual Task and Application

Coverage:

Step by Step Installation of Python and other tools libraries required for this course.

Learn Python basics like Condition Handling, Looping, String Handling.

Standard Data Types (List, Tuple, Dictionary)

How to work on Class and Functions

Advance Python Concepts : File Handing, Excel Handling, Exception Handling

OOPS Programming : Inheritance, Overriding

Working with CSV file, JSON Handling

Here we will write code by following all standards and best practices.

Different practice exercise and questions to test our learning time to time.

Help with Q&A support whenever needed

Use many most usable python packages and libraries

Realtime Project Coverage:

Project 1: 

   – WebScraping: Navigate to different pages of a website, fetch data and store for further analysis

Project 2:

   – API Testing : Most important area as REST API Testing is having huge demand, here we will learn how to do API Testing using Python Programming

Project 3:

   – Web Automation Basics : As we know we can automation web applications, here we will learn, how to automate Web Application using Selenium and Python

Project 4:

   – Test Data Generation : Its a test data generation utility which we will design for manual testing activities

Course Curriculum

Chapter 1: Introduction & Environment Setup- Python | Pycharm | PIP | Libraries

Lecture 1: Why as a Tester we need to learn Python

Lecture 2: *** Course Architecture : Must for Everyone ***

Lecture 3: Step 1 : Setup Python on Windows Machine with Environment Variable

Lecture 4: Step 2 : Setup Pycharm – Editor fort Python Programming

Lecture 5: Step 3 : Setup PIP : Package Manager for Python

Chapter 2: Getting start with basic PYTHON Programming

Lecture 1: First Python Code : Create Python File, Comments & Print on Console

Lecture 2: How to Declare and use Variables in Python

Lecture 3: How to take user input and use it in programming

Lecture 4: Constraints and Type Casting

Lecture 5: Standard datatypes in Python : Number, String, List, Tuple & Dictionary

Chapter 3: Control Execution using Condition Handling, Practical Examples and Exercise

Lecture 1: Condition Handling using If : Handle Single Condition

Lecture 2: Condition Handling using If : Handle 2 Conditions

Lecture 3: Multiple Condition Handling (If – Elif – else) with practice exercise

Lecture 4: Nested Condition Handling (Condition inside Condition)

Lecture 5: Condition Handling with Logical OR and Logical AND

Chapter 4: Do Execution with –Loops | For, While, Break and Continue

Lecture 1: Introduction of Loops – Why and Where to use Loops

Lecture 2: For Loop with Final Range – Run code until the given condition(value) reach

Lecture 3: For Loop with initial and final range -Run code between given range

Lecture 4: For loop with increment value – Run code with different increment value

Lecture 5: For loop with decrement value – Run code with different decrement value

Lecture 6: For loop with list – Running a loop on the List of values

Lecture 7: While Loop with increments

Lecture 8: While loop with decrements

Lecture 9: Break Statement

Lecture 10: Continue Statement

Lecture 11: Else Statement

Chapter 5: String Handling

Lecture 1: What is String and basic operations

Lecture 2: String : Fetch Substring

Lecture 3: Common String Functions – Part 1

Lecture 4: Common String Functions – Part 2

Lecture 5: Common String Functions – Part 3

Lecture 6: Common String Functions – Part 4

Lecture 7: Compare 2 Strings in Python

Chapter 6: Complex Data Types

Lecture 1: List

Lecture 2: List function

Lecture 3: Tuple

Lecture 4: Tuple advance operations

Lecture 5: Dictionary basics

Lecture 6: Dictionary Methods

Chapter 7: Functions in Detail

Lecture 1: Functions Basics

Lecture 2: Rules to create functions

Lecture 3: Different types of functions

Lecture 4: Functions with return value

Lecture 5: Different types of arguments

Chapter 8: Class in Python

Lecture 1: Create first class

Lecture 2: Functions in Class

Lecture 3: Constructors

Lecture 4: Why and Where we use constructors

Lecture 5: Create Object in another file

Chapter 9: Modules

Lecture 1: What is Module

Lecture 2: How to Use Modules

Lecture 3: Creating Project Structure

Lecture 4: Difference between import and from-import

Chapter 10: File Handling

Lecture 1: Read Data from File(.txt)

Lecture 2: Read character by character and line by line

Lecture 3: Write data to File(.txt)

Lecture 4: Common file methods

Chapter 11: Exception Handling in Python

Lecture 1: What is Exception and Exception Handling

Lecture 2: Handle Exception using try, exception and finally

Chapter 12: Read data from configuration files

Lecture 1: Prepare configuration files

Lecture 2: Read data from config file

Chapter 13: OOPS programming

Lecture 1: Inheritance

Lecture 2: Inheritance Example- Single Inheritance

Lecture 3: Multilevel Inheritance

Lecture 4: Multiple Inheritance

Lecture 5: Inheritance: Constructor in Parent and Child Class

Lecture 6: Data Overriding

Chapter 14: Working with Excel Files

Lecture 1: Why to read data from excel

Lecture 2: Read data from excel

Lecture 3: Read All Rows and Columns

Lecture 4: Write data to Excel File

Chapter 15: Read & Write Excel Data(Xlsx file) : OpenPyXl package

Lecture 1: Install Module | Move to Sheet Level

Lecture 2: Read one Cell Data

Lecture 3: Read All Rows & Cells Data

Lecture 4: Write Data to Excel

Chapter 16: **** Project 1 : WebScaping using Python ****

Lecture 1: WebScraping Introduction

Lecture 2: Pick data & Display on Console

Lecture 3: Pick data & save to File

Lecture 4: Fetch data using BeautifulSoup

Chapter 17: Work on CSV File

Lecture 1: Read Data from CSV

Lecture 2: Write Data to CSV

Lecture 3: Compare Data

Lecture 4: Nested Dictionary

Instructors

Testing World
Director of Testing World

Rating Distribution

1 stars: 6 votes

2 stars: 6 votes

3 stars: 10 votes

4 stars: 45 votes

5 stars: 42 votes

Frequently Asked Questions

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