🐍 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

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Python Arthimetic Calculator 🚀

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Data Structure in Python 🚀

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🔥 🚨 Big Announcement! 🚨

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

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• Mock interviews & Q&A sessions
• Project explanation tips
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✅ Real Interview Questions
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🔥 Let’s Learn. Let’s Practice. Let’s Crack It! 💻

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The IF Statement in Python 🚀

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🗓️ Python Interview Series - Part 1

🎯 Topics Covered: Variables, Data Types, Operators

🧑‍💼 Interviewer: Welcome! Ready to begin?

👨‍💻 Candidate: Yes, absolutely.

🧑‍💼 Interviewer: What is a variable in Python?

👨‍💻 Candidate: A variable in Python is a name that refers to a value stored in memory. Unlike other languages, you don’t need to declare its type — Python infers it automatically.

Example:

x = 10
name = "Deepak"

Here, x is an integer and name is a string. Python variables are references to objects, not containers that hold data directly.

🧑‍💼 Interviewer: How does Python manage variable memory?

👨‍💻 Candidate: When you assign a value to a variable, Python creates an object in memory and binds the variable name to it. If you assign the same value to another variable, both can point to the same memory location (for immutable types).

Example:

a = 100
b = a
print(id(a), id(b))  # same id → both refer to same object

Mutable objects like lists behave differently — if modified, their memory doesn’t change.

🧑‍💼 Interviewer: What are Python’s built-in data types?

👨‍💻 Candidate: Python has several standard data types:
Numeric → int, float, complex
Sequence → str, list, tuple
Mapping → dict
Set → set, frozenset
Boolean → bool
Binary → bytes, bytearray, memoryview

Example:

num = 10
pi = 3.14
name = "Python"
is_valid = True

🧑‍💼 Interviewer: What’s the difference between mutable and immutable data types?

👨‍💻 Candidate:
Mutable → Can be changed after creation (list, dict, set)
Immutable → Cannot be changed after creation (int, float, str, tuple)

Example:

x = [1, 2, 3]
x.append(4)  # modifies list

y = "hello"
y.upper()    # creates new string, doesn't modify original

🧑‍💼 Interviewer: What is type casting or type conversion in Python?

👨‍💻 Candidate: It’s the process of converting one data type into another.

Implicit → Python converts automatically

x = 5
y = 2.0
print(x + y)  # 7.0

Explicit → You convert manually

int("10"), float("5.5"), str(25)

🧑‍💼 Interviewer: What are operators in Python?

👨‍💻 Candidate: Operators are symbols that perform operations on variables and values.

Types include:

Arithmetic → +, -, *, /, %, //, **
Comparison → ==,!=,>, <,>=, <=
Logical → and, or, not
Assignment → =, +=, -=
Membership → in, not in
Identity → is, is not
Bitwise → &, |, ^, ~, <<,>>

🧑‍💼 Interviewer: Difference between is and == operators?

👨‍💻 Candidate: == compares values, is compares memory location.

Example:

a = [1, 2]
b = [1, 2]
print(a == b)  # True
print(a is b)  # False

🧑‍💼 Interviewer: Difference between / and // operators?

👨‍💻 Candidate: / → true division (float), // → floor division (int)

Example:

print(7 / 2)   # 3.5
print(7 // 2)  # 3

🧑‍💼 Interviewer: How does Python handle dynamic typing?

👨‍💻 Candidate: Python uses dynamic typing — variable types are determined at runtime and can change.

Example:

x = 10       # int
x = "Hello"  # now str

🧑‍💼 Interviewer: Use of type() and id() functions?

👨‍💻 Candidate: type() → returns data type, id() → returns memory address

Example:

x = 5
print(type(x))  # <class 'int'>
print(id(x))    # unique memory id

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A simple IP Address scanner Code Snippet 🚀

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Python Notes Basics of Python Programming 🚀

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