📌 Python Interview Questions 📌 Question 25: What is the output? x = 0 while x < 3: x += 1 print(x) A) 0 1 2 B) 1 2 3 C) 0 1 2 3 D) Error ------------------- 📌 Question 26: Python identifiers can start with: A) Number B) Underscore C) Symbol like @ D) Space ----------------------- 📌 Question 27: The else block after a loop executes when... A) loop breaks B) loop completes normally C) loop never runs D) always . . #Python #PythonQuiz #Coding #Programming #LearnPython #Tech #Developer #PythonBasics #InterviewPrep #ITJobs #AshokIT #CodeDaily
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📌 Python Interview Questions . 📌 Question 19: What is the use of pass in Python? A) Exit program B) Placeholder for code C) Skips iteration D) Raise error ------------------ 📌 Question 20: Which keyword is used to define a loop in Python? A) loop B) iterate C) for D) each ------------- 📌 Question 21: Choose the correct loop syntax. A) for i to 10: B) for (i in 10): C) for i in range(10): D) foreach i in 10: . Visit: https://lnkd.in/gf23u2Rh Call: 9985396677 | info@ashokit.in Follow @ashokitschool for more updates. . #Python #PythonQuiz #Coding #Programming #LearnPython #Tech #Developer #PythonBasics #InterviewPrep #ITJobs #AshokIT #CodeDaily
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📌 Python Interview Questions . 📌 Question 28: Which of these are valid keywords in Python? A) define B) class C) fun D) method . 📌 Question 29: continue inside a loop will: A) Skip remaining code in iteration B) End loop C) Skip loop D) Raise error . 📌 Question 30: Python keywords are... A) Case-insensitive B) Strings C) Reserved words D) Modifiable . . #Python #PythonQuiz #Coding #Programming #LearnPython #Tech #Developer #PythonBasics #InterviewPrep #ITJobs #AshokIT #CodeDaily
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📌 *Python Interview Questions* 📌 Question 4: Which collection is best for key-value pairs in Python? A) list (👍) B) set (❤) C) tuple (😂) D) dict (🔥) --------------------------- 📌 Question 5: What type is returned by type(3.14)? A) int (❤) B) float (🔥) C) str (😂) D) decimal (👍) ------------------------- 📌 Question 6: Which is used to store multiple items in a single variable? A) int (😂) B) float (🔥) C) list (❤) D) str (👍) #Python #PythonQuiz #Coding #Programming #LearnPython #Tech #Developer #PythonBasics #InterviewPrep #ITJobs #AshokIT #CodeDaily
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🚀 Day 4/25 – Python Interview Questions Series Today’s Questions 👇 💡 Q7: What is the difference between List and Set? ✔ List: Ordered collection Allows duplicates Supports indexing & slicing Uses [] ✔ Set: Unordered collection No duplicate elements No indexing Uses {} 💡 Q8: What is List Comprehension? List comprehension is a concise way to create lists in Python. ✔ Short and clean syntax ✔ Improves readability ✔ Faster than traditional loops ✔ Can include conditions 📌 Example: squares = [x**2 for x in range(5)] 🎯 Interview Tip: 👉 Clearly explain difference (List vs Set) + give example for list comprehension 📅 Posting 2 questions daily Follow for complete Python interview preparation 🚀 #Python #InterviewPreparation #Coding #AIML #MachineLearning #LearnPython #Developers #JobReady
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🔥 I asked 20 developers this Python question. Only 3 got it right. Let’s see if you’re one of them 👇 a = (1, 2, [3, 4]) a[2] += [5, 6] print(a) 💡 What happens? A. (1, 2, [3, 4, 5, 6]) B. TypeError C. (1, 2, [3, 4]) D. TypeError BUT list still changes ⚠️ Most people get this WRONG. Take 10 seconds. Think carefully. 💬 Drop your answer below (no cheating, no running code ) I’ll reply with the correct answer + explanation. #Python #Programming #Developers #CodingChallenge #TechInterview #LearnPython #SDET #AutomationTesting #DeveloperCommunity #AI
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🚀 Python's Core Operators: Arithmetic, Comparison, and Logical Python provides a rich set of operators for performing various operations. Arithmetic operators (+, -, *, /, %, **) are used for mathematical calculations. Comparison operators (==, !=, >, =, <=) are used for comparing values and returning boolean results. Logical operators (and, or, not) are used for combining boolean expressions. Understanding these operators is fundamental for writing conditional statements and performing data manipulation. Learn more on our app: https://lnkd.in/gefySfsc #Python #PythonDev #DataScience #WebDev #professional #career #development
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Master Python Interviews with 50 Advanced Questions & Answers They revise syntax… But struggle when questions go deeper. So I created something practical “Python Interview Questions & Answers – 50 Advanced Topics” This is not basic stuff. It covers the kind of questions that actually test your thinking: • Real-world problem solving. • Advanced Python concepts. • Interview-level scenarios. • Clear, structured answers. If you're aiming for better opportunities, this is the level you should prepare at. I personally compiled this to make preparation more focused and less overwhelming. Comment “PYTHON” and I’ll share it with you. #Python #PythonInterview #Coding #SoftwareEngineering #BackendDeveloper #LearnPython #TechCareers #PythonDeveloper
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✅ *Python Scenario-Based Interview Question* 🧠 You have a sentence: ``` text = "Python is simple but powerful" ``` *Question:* Count the number of words in the sentence. *Expected Output:* ``` 5 ``` *Python Code:* ``` words = text.split() print(len(words)) ``` *Explanation:* – `split()` breaks the sentence into words – `len()` counts the number of words in the list 💬 *Tap ❤️ for more!*
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Arithmetic operators in python:- a = 3, b = 4 addition:- print (a+b) subtraction:- print (a-b) division:- print (a/b) flore division:- print (a//b) multiplication:- print(a*b) reminder:- print (a%b) logical operators :- logical and logical or logical not comparison operators:- 1) a== b( equal to) 2) a !=b(not equal to) 3) a>b(greator than) 4) a< b(less than) Assignment operators:- a = 6, (assign the value 6 to a) a += b ( a= a+b) a-= b (a = a-b) #python #learn #content #creator #share #knowledge #teach
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Understanding Regular Expressions in Python Regular Expressions (RegEx) are powerful tools used for searching, matching, and manipulating text. In Python, they are handled using the built-in re module. Why use RegEx? • Validate inputs (emails, phone numbers, passwords) • Search for specific patterns in text • Extract useful data from large datasets • Replace or clean text efficiently Key Functions in Python RegEx: • re.search() → Finds first match • re.findall() → Finds all matches • re.sub() → Replaces text • re.match() → Matches from beginning Final Thought: Mastering Regular Expressions can significantly boost your data processing and text handling skills as a developer. Thanks for : Sultan AL-Yahyai CodeAcademy_om Kulsoom Shoukat Ali #Python #Programming #DataAnalysis #Coding #RegularExpressions #TechSkills #Learning #Developers
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Amazing work, very inspiring