Q: What’s the difference between List[int] and list[int] in Python 3.9+?
Anonymous Quiz
35%
a) No difference; list[int] is the newer, simpler syntax
44%
b) List[int] is invalid
21%
c) They behave differently in runtime
0%
d) list[int] is slower
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190+ Python Interview Questions and Answers.pdf
1.1 MB
190+ Python Interview Questions and Answers 🚀
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Q: What is the type of the result of 3 / 2 in Python 3?
Anonymous Quiz
8%
a) int
77%
b) float
8%
c) double
6%
d) fraction
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Python DS question.pdf
218.7 KB
Python DS Question 🚀
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Q: What does 5 ** 2 mean in Python?
Anonymous Quiz
7%
a) 5 × 2
84%
b) 5 raised to the power 2
7%
c) 5 divided by 2
2%
d) 5 modulo 2
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1.1 5.2.Python String Coding Interview Questions.pdf
499 KB
Python String Coding Interview Questions 🚀
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🐍 Common Python Syntax Bug Issues
1. Indentation Errors
if True:
print("Hello") ❌ IndentationError
print("Hello") ✅ Correct indentation
2. Missing Colons
if x == 5 ❌ SyntaxError
if x == 5: ✅ Correct
3. Misusing = vs ==
x = 5
if x = 5: ❌ SyntaxError
if x == 5: ✅ Correct
4. Case Sensitivity
name = "Alice"
print(Name) ❌ NameError (Python is case-sensitive)
print(name) ✅ Correct
5. Unclosed Strings or Brackets
msg = "Hello ❌ SyntaxError
msg = "Hello" ✅ Correct
6. Wrong Indentation in Functions
def test():
print("oops") ❌ IndentationError
print("works") ✅ Correct
7. Using Keywords as Identifiers
class = "Math" ❌ SyntaxError
class_name = "Math" ✅ Correct
8. Trailing Symbols
print("Hi"!) ❌ SyntaxError
print("Hi!") ✅ Correct
9. Improper Imports
from . import mymodule ❌ outside a package
import mymodule ✅ Correct
10. Line Break Issues
total = 1 +
2 + 3 ❌ SyntaxError
total = (1 +
2 + 3) ✅ Correct
1. Indentation Errors
if True:
print("Hello") ❌ IndentationError
print("Hello") ✅ Correct indentation
2. Missing Colons
if x == 5 ❌ SyntaxError
if x == 5: ✅ Correct
3. Misusing = vs ==
x = 5
if x = 5: ❌ SyntaxError
if x == 5: ✅ Correct
4. Case Sensitivity
name = "Alice"
print(Name) ❌ NameError (Python is case-sensitive)
print(name) ✅ Correct
5. Unclosed Strings or Brackets
msg = "Hello ❌ SyntaxError
msg = "Hello" ✅ Correct
6. Wrong Indentation in Functions
def test():
print("oops") ❌ IndentationError
print("works") ✅ Correct
7. Using Keywords as Identifiers
class = "Math" ❌ SyntaxError
class_name = "Math" ✅ Correct
8. Trailing Symbols
print("Hi"!) ❌ SyntaxError
print("Hi!") ✅ Correct
9. Improper Imports
from . import mymodule ❌ outside a package
import mymodule ✅ Correct
10. Line Break Issues
total = 1 +
2 + 3 ❌ SyntaxError
total = (1 +
2 + 3) ✅ Correct
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Q: What is the default value of end in Python’s print() function?
Anonymous Quiz
43%
a) '\n'
14%
b) ' '
14%
c) ''
29%
d) None
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DATA STRUCTURES IN PYTHON.pdf
3.9 MB
Data Structure in Python 🚀
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🔥 🚨 Big Announcement! 🚨
I’m thrilled to introduce my brand-new series — 💼 Python Interview Mastery 🐍
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🔹 Week 1: Python Basics & Core Concepts
• Data types, variables & operators
• If-else, loops & functions
• Input/output & basic problem-solving
💡 Practice: Reverse string, Prime check, Factorial, Palindrome
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• Lists, Tuples, Sets, Dictionaries
• Comprehensions (list, dict, set)
• Sorting, searching & nested data
💡 Practice: Frequency count, remove duplicates, find max/min
🔹 Week 3: Functions, Modules & File Handling
• *args, *kwargs, lambda, map/filter/reduce
• File read/write, CSV handling
• Modules & imports
💡 Practice: Custom functions, read files, handle exceptions
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• Classes & objects
• Inheritance, polymorphism, encapsulation
• Magic methods (init, str)
💡 Practice: Build a Student or BankAccount class
🔹 Week 5: Exception Handling & Logging
• try-except-else-finally
• Custom exceptions
• Logging & debugging techniques
💡 Practice: File operations with error handling
🔹 Week 6: Advanced Python Concepts
• Decorators, generators, iterators
• Closures & context managers
• Shallow vs deep copy
💡 Practice: Create your own decorator & generator
🔹 Week 7: Data Analysis with Pandas & NumPy
• DataFrame operations, filtering & grouping
• Handling missing data
• NumPy arrays & slicing
💡 Practice: Analyze small CSV datasets
🔹 Week 8: Visualization & Analytics
• Matplotlib & Seaborn basics
• Summarization & correlation
• Build simple dashboards
💡 Practice: Visualize sales or user data
🔹 Week 9: Real Interview Questions (Intermediate–Advanced)
• 50+ Python interview Q&A
• Logic-based & coding tasks
• Questions from Infosys, TCS, Deloitte & more
💡 Practice: Solve daily challenge sets
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• Mock interviews & Q&A sessions
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✅ Real Interview Questions
✅ Quizzes & Discussion
💬 React ❤️ if you’re ready to master Python interviews and land your dream job!
🔥 Let’s Learn. Let’s Practice. Let’s Crack It! 💻
I’m thrilled to introduce my brand-new series — 💼 Python Interview Mastery 🐍
Your step-by-step guide to crack Python interviews — from beginner to pro-level!
This will be a 10-week journey to make you fully interview-ready, with real coding questions, concepts, and company-style practice tasks!
🔹 Week 1: Python Basics & Core Concepts
• Data types, variables & operators
• If-else, loops & functions
• Input/output & basic problem-solving
💡 Practice: Reverse string, Prime check, Factorial, Palindrome
🔹 Week 2: Data Structures in Python
• Lists, Tuples, Sets, Dictionaries
• Comprehensions (list, dict, set)
• Sorting, searching & nested data
💡 Practice: Frequency count, remove duplicates, find max/min
🔹 Week 3: Functions, Modules & File Handling
• *args, *kwargs, lambda, map/filter/reduce
• File read/write, CSV handling
• Modules & imports
💡 Practice: Custom functions, read files, handle exceptions
🔹 Week 4: Object-Oriented Programming (OOP)
• Classes & objects
• Inheritance, polymorphism, encapsulation
• Magic methods (init, str)
💡 Practice: Build a Student or BankAccount class
🔹 Week 5: Exception Handling & Logging
• try-except-else-finally
• Custom exceptions
• Logging & debugging techniques
💡 Practice: File operations with error handling
🔹 Week 6: Advanced Python Concepts
• Decorators, generators, iterators
• Closures & context managers
• Shallow vs deep copy
💡 Practice: Create your own decorator & generator
🔹 Week 7: Data Analysis with Pandas & NumPy
• DataFrame operations, filtering & grouping
• Handling missing data
• NumPy arrays & slicing
💡 Practice: Analyze small CSV datasets
🔹 Week 8: Visualization & Analytics
• Matplotlib & Seaborn basics
• Summarization & correlation
• Build simple dashboards
💡 Practice: Visualize sales or user data
🔹 Week 9: Real Interview Questions (Intermediate–Advanced)
• 50+ Python interview Q&A
• Logic-based & coding tasks
• Questions from Infosys, TCS, Deloitte & more
💡 Practice: Solve daily challenge sets
🔹 Week 10: Final Interview Prep (Mock & Revision)
• Mock interviews & Q&A sessions
• Project explanation tips
• Resume & GitHub portfolio polish
📘 Every Week Includes:
✅ Key Concepts & Examples
✅ Coding Practice & Mini Projects
✅ Real Interview Questions
✅ Quizzes & Discussion
💬 React ❤️ if you’re ready to master Python interviews and land your dream job!
🔥 Let’s Learn. Let’s Practice. Let’s Crack It! 💻
@python_programming_42
#PythonProgramming #python #practice
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