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Playwright Python #3 - Python Data Types Explained | Automation Testing in Hindi

Master Python Data Types for Automation Testing! Learn Integer, Float, String, Boolean, List, Tuple, Range & Dictionary with real interview questions in this Python tutorial.

Are you preparing for QA Automation interviews? In this session, we break down ALL Python data types you need for Playwright, Selenium, or API automation — explained with real-world examples and common interview questions asked by automation leads and architects.

By the end of this video, you'll know exactly which data types are used in day-to-day automation testing, how Python handles strings as a class with built-in methods, and how to answer Python interview questions confidently and to-the-point.

This is NOT a full Python dev course — this series teaches Python strictly in the context of Automation Testing. We cover only what you'll actually use on the job.

📌 KEY TOPICS COVERED:

- Variables recap — what is a variable and how data is stored
- Python Data Types overview — why categorization matters
- Numbers: Integer, Float, and Complex numbers explained
- String data type — why Python has no separate Character type (interview tip!)
- Boolean — True and False in automation context (enabled/disabled fields)
- Sequence types — List, Tuple, and Range with examples
- Mutable vs Immutable — List vs Tuple difference introduced
- Dictionary / Mapping — key-value pair concept (JSON/API relevance)
- Python is dynamically typed — no need to declare data type
- String as a Class in Python — built-in methods walkthrough
- String indexing, slicing, and negative indexing
- Reverse a string using slicing (classic interview question!)
- String methods: upper(), lower(), strip(), len(), replace(), in operator
- String concatenation with + operator
- Multi-line strings with triple quotes
- f-Literals and format() for variable interpolation in strings
- Passing functions inside functions — interview tip
- isinstance() built-in function explained
- print() is a built-in function, not a command — technical distinction
- AI tools usage in learning — how to use them with existing knowledge

⏱️ TIMESTAMPS:

00:00 Introduction & Variables Recap
01:15 What Are Data Types? Real-World Analogy
02:44 Python Data Types Overview
03:53 Numbers — Integer, Float, Complex
06:39 String Data Type
08:07 String vs Character — No Character Type in Python (Interview Question!)
10:21 Boolean — True and False
11:40 Sequence Types — List, Tuple, Range
12:45 Mutable vs Immutable (List vs Tuple)
14:34 Practical Demo in Python — Setting Up Files
15:27 Python is Dynamically Typed — type() function
17:25 isinstance() Function Explained
18:19 List and Tuple Demo with Code
20:02 Boolean in Automation Context (Field Enabled/Disabled)
23:25 String Representation — Single vs Double Quotes
25:30 Strings are Always in Quotations — Demo
29:11 String as a Class in Python
30:00 print() is a Built-in Function — Not a Command
37:04 Passing Functions Inside Functions
42:40 Sequence Types Demo — List, Tuple, Range in Code
47:44 Range Concept with Real-World Examples
57:19 String Methods — len(), upper(), lower(), strip()
59:41 String Indexing Explained (Zero-Based)
1:05:01 in Operator — Substring Check
1:08:11 String Slicing with Positive Indexes
1:23:25 Negative Indexing & Negative Slicing
1:34:44 Reverse a String Using Slicing — Interview Question!
1:42:14 Built-in String Functions: upper(), lower(), strip(), replace()
1:44:10 String Concatenation with + Operator
1:50:21 f-Literal and format() for Variable Interpolation
1:52:57 Session Summary & What's Next

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Learning Python for Automation is one of the most in-demand skills in QA Engineering right now. Whether you're preparing for a Playwright, Selenium, or API testing interview — these fundamentals will set you apart.

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#qatesting #stringsinpython #pythonstrings #listvstuplepython #pythoninterview
#softwaretesting #pythonslicing #automationengineer #qaengineer #learncoding
#pythonprogramming #testautomation #pythonlist #pythondictionary #qatestingjobs

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