📌 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

🐍 Quick Python Quiz! 📌 Question 1: Which Python collection allows duplicates? A) set (😂) B) dict (🔥) C) list (❤️) D) frozenset (👍) ----- 📌 * Question 2: Which of these is immutable in Python? A) list (👍) B) set (🔥) C) tuple (😂) D) dict (❤) ------- 📌 * Question 3: What is the key difference between set and list? A) set is ordered (👍) B) list removes duplicates (😂) C) set has no duplicates (❤) D) list is immutable (🔥) ------- #Python #PythonQuiz #Coding #Programming #LearnPython #Tech #Developer #CodingLife #PythonBasics #InterviewPrep #ITJobs #AshokIT Follow @ashokit_official for more updates 🚀

🐍 Python Interview Question 📌 What is Variable Scope in Python? Variable scope defines where a variable can be accessed and how long it exists in a Python program. 🔹 Local Scope Variables created inside a function and accessible only within that function. 🔹 Global Scope Variables declared outside functions and accessible throughout the program. 🔹 Module-Level Scope Variables available across the current module or file. 🔹 Built-in / Outermost Scope Predefined names provided by Python, such as len(), print(), and range(). 💡 In Short: Python follows the LEGB rule — Local, Enclosing, Global, Built-in — to resolve variable names efficiently ⚡ 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #PythonProgramming #VariableScope #LEGB #CodingInterview #InterviewPreparation #TechLearning #AshokIT

📌 *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

Two extremely useful list operations every Python programmer needs: ✅ Find Duplicates in a List   ✅ Remove Duplicates from a List  Clean, efficient, and interview-ready solutions using sets and dictionaries. Mastering these will make your data handling much smoother. Which approach do you prefer — the set method or list comprehension? Comment below and follow @ultrapythonic for daily Python learning content. #Python #Lists #DataStructures #CodingTips #LearnPython

🐍 Python Interview Question 📌 What are Generators in Python? In Python, generators are a simple way to create iterators efficiently. 🔹 What is a Generator? ✔ A generator is a function that uses the yield keyword ✔ It returns values one at a time instead of all at once 🔹 How it Works ✔ Execution pauses at each yield ✔ Function state is saved automatically ✔ Resumes from the same point when called again 🔹 Why Use Generators? ✔ Memory efficient for large datasets ✔ Faster than storing complete lists ✔ Useful for streaming data 🔹 Example • def nums(): yield 1; yield 2; yield 3 💡 In Short: Generators produce values lazily, making iteration efficient and memory-friendly 🚀🐍 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #Generators #PythonInterview #Programming #Coding #InterviewPreparation #TechSkills

🐍 Python Interview Question 📌 What is the difference between range() and xrange()? 🔹 range() ✔ In Python 3, range() returns a lazy sequence object ✔ Generates numbers only when needed ✔ Memory efficient for large loops 🔹 xrange() ✔ Available only in Python 2 ✔ Returns an iterator-like object instead of a full list ✔ Designed for better memory efficiency in Python 2 🔹 Important Note: ✔ In Python 3, xrange() was removed ✔ range() now behaves like Python 2 xrange() 💡 In Short: Use range() in Python 3 — it already provides the memory-efficient behavior of old xrange() ⚡ 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #PythonProgramming #Range #Xrange #CodingInterview #InterviewPreparation #TechLearning #AshokIT

🐍 Python Interview Question 📌 How is a dictionary different from a list? Lists and dictionaries are two fundamental data structures in Python, but they serve different purposes. 🔹 List: ✔ Ordered collection of items ✔ Accessed using index (position) ✔ Ideal for sequential data 🔹 Dictionary: ✔ Collection of key–value pairs ✔ Accessed using unique keys ✔ Best for associative or mapped data 🔹 Example: ✔ List → [10, 20, 30] ✔ Dictionary → {"a": 10, "b": 20, "c": 30} 💡 In Short: Use lists when order matters, and dictionaries when you need fast lookups using keys 🚀 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #DataStructures #Coding #Programming #InterviewPreparation #TechLearning #AshokIT

🚨 Most developers get this wrong… will you? t = (1, 2, [3, 4]) t[2].append(5) print(t) At first glance, many assume this throws an error ❌ 💡 Why this matters: - Tuples are immutable - But they can contain mutable objects (like lists) - And those objects can still be modified This small concept highlights a deeper understanding of Python’s data model — something interviewers often look for. 🎯 Key takeaway: «Immutability applies to the container, not necessarily the contents.» 👇 Curious to know: Did you get it right on the first try? #Python #SoftwareEngineering #CodingInterview #Developers #Programming #TechCareers #Learning #PythonTips

This is called List Comprehension in Python. And this is exactly why Python is so useful for real-world work — especially in data-related roles. Because in actual projects, we constantly need to: 1.Filter records 2.Transform values 3.Clean datasets 4.Write concise logic My takeaway: Good Python code is not just shorter. It’s smarter and more readable. Learning one small concept at a time and building toward Data Engineering. #Python #DataEngineering #LearnInPublic #CodingJourney #PythonTips #100DaysOfCode #DataEngineer #Programming #TechCareer #FutureDataEngineer