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├── ⚙️ Setting up TypeScript (tsc, tsconfig)
├── 🔡 Type Annotations (number, string, boolean, etc.)
├── 📦 Interfaces & Type Aliases
├── 🧱 Classes, Inheritance & Access Modifiers
├── 🔁 Generics
├── ❌ Type Narrowing & Type Guards
├── 🔄 Enums, Tuples & Union Types
├── 🧩 Modules & Namespaces
├── 🔧 Working with TypeScript & React/Vue
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📊 Data Science
▪️ Python – The go-to language for Data Science
▪️ R – Statistical Computing and Graphics
▪️ Pandas – Data Manipulation & Analysis
▪️ NumPy – Numerical Computing
▪️ Matplotlib / Seaborn – Data Visualization
▪️ Jupyter Notebooks – Interactive Development Environment

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▪️ Scikit-learn – Classical ML Algorithms
▪️ TensorFlow – Deep Learning Framework
▪️ Keras – High-Level Neural Networks API
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Here is an A-Z list of essential programming terms:

1. Array: A data structure that stores a collection of elements of the same type in contiguous memory locations.

2. Boolean: A data type that represents true or false values.

3. Conditional Statement: A statement that executes different code based on a condition.

4. Debugging: The process of identifying and fixing errors or bugs in a program.

5. Exception: An event that occurs during the execution of a program that disrupts the normal flow of instructions.

6. Function: A block of code that performs a specific task and can be called multiple times in a program.

7. GUI (Graphical User Interface): A visual way for users to interact with a computer program using graphical elements like windows, buttons, and menus.

8. HTML (Hypertext Markup Language): The standard markup language used to create web pages.

9. Integer: A data type that represents whole numbers without any fractional part.

10. JSON (JavaScript Object Notation): A lightweight data interchange format commonly used for transmitting data between a server and a web application.

11. Loop: A programming construct that allows repeating a block of code multiple times.

12. Method: A function that is associated with an object in object-oriented programming.

13. Null: A special value that represents the absence of a value.

14. Object-Oriented Programming (OOP): A programming paradigm based on the concept of "objects" that encapsulate data and behavior.

15. Pointer: A variable that stores the memory address of another variable.

16. Queue: A data structure that follows the First-In-First-Out (FIFO) principle.

17. Recursion: A programming technique where a function calls itself to solve a problem.

18. String: A data type that represents a sequence of characters.

19. Tuple: An ordered collection of elements, similar to an array but immutable.

20. Variable: A named storage location in memory that holds a value.

21. While Loop: A loop that repeatedly executes a block of code as long as a specified condition is true.

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🚀 Roadmap to Become a C++ Developer 🔰

📂 Programming Basics
 ∟📂 Master C++ Syntax, Variables & Data Types
  ∟📂 Learn Control Flow, Loops & Functions
   ∟📂 Practice with Simple Programs

📂 Object-Oriented Programming (OOP)
 ∟📂 Understand Classes, Objects & Inheritance
  ∟📂 Dive into Encapsulation, Polymorphism & Abstraction
   ∟📂 Explore Templates & the Standard Template Library (STL)

📂 Memory Management & Pointers
 ∟📂 Grasp Pointers, References & Dynamic Memory Allocation
  ∟📂 Master Manual Memory Management
   ∟📂 Learn Smart Pointers & RAII Principles

📂 Data Structures & Algorithms
 ∟📂 Study Arrays, Vectors, Lists, Maps & Sets
  ∟📂 Understand Sorting, Searching & Recursion
   ∟📂 Solve Coding Challenges to Reinforce Concepts

📂 Tools & Build Systems
 ∟📂 Get Comfortable with IDEs (e.g., Visual Studio, CLion)
  ∟📂 Learn CMake & Other Build Tools
   ∟📂 Master Git & Version Control Systems

📂 Advanced C++ Concepts
 ∟📂 Explore Lambda Functions & Modern C++ Features
  ∟📂 Understand Multithreading & Concurrency
   ∟📂 Dive into Performance Optimization & Best Practices

📂 Debugging & Testing
 ∟📂 Learn Debugging Techniques & Tools
  ∟📂 Master Unit Testing with Frameworks (e.g., Google Test)
   ∟📂 Analyze and Optimize Code Performance

📂 Projects & Real-World Applications
 ∟📂 Build Complex, End-to-End C++ Applications
  ∟📂 Contribute to Open-Source Projects
   ∟📂 Showcase Your Work on GitHub & Portfolio

📂 Interview Preparation & Job Hunting
 ∟📂 Solve C++ Coding Challenges
  ∟📂 Master Data Structures, Algorithms & System Design
   ∟📂 Network & Apply for C++ Roles

✅️ Get Hired

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Python Interview Questions:

Ready to test your Python skills? Let’s get started! 💻


1. How to check if a string is a palindrome?

def is_palindrome(s):
    return s == s[::-1]

print(is_palindrome("madam"))  # True
print(is_palindrome("hello"))  # False

2. How to find the factorial of a number using recursion?

def factorial(n):
    if n == 0 or n == 1:
        return 1
    return n * factorial(n - 1)

print(factorial(5))  # 120

3. How to merge two dictionaries in Python?

dict1 = {'a': 1, 'b': 2}
dict2 = {'c': 3, 'd': 4}

# Method 1 (Python 3.5+)
merged_dict = {**dict1, **dict2}

# Method 2 (Python 3.9+)
merged_dict = dict1 | dict2

print(merged_dict)

4. How to find the intersection of two lists?

list1 = [1, 2, 3, 4]
list2 = [3, 4, 5, 6]

intersection = list(set(list1) & set(list2))
print(intersection)  # [3, 4]

5. How to generate a list of even numbers from 1 to 100?

even_numbers = [i for i in range(1, 101) if i % 2 == 0]
print(even_numbers)

6. How to find the longest word in a sentence?

def longest_word(sentence):
    words = sentence.split()
    return max(words, key=len)

print(longest_word("Python is a powerful language"))  # "powerful"

7. How to count the frequency of elements in a list?

from collections import Counter

my_list = [1, 2, 2, 3, 3, 3, 4]
frequency = Counter(my_list)
print(frequency)  # Counter({3: 3, 2: 2, 1: 1, 4: 1})

8. How to remove duplicates from a list while maintaining the order?

def remove_duplicates(lst):
    return list(dict.fromkeys(lst))

my_list = [1, 2, 2, 3, 4, 4, 5]
print(remove_duplicates(my_list))  # [1, 2, 3, 4, 5]

9. How to reverse a linked list in Python?

class Node:
    def __init__(self, data):
        self.data = data
        self.next = None

def reverse_linked_list(head):
    prev = None
    current = head
    while current:
        next_node = current.next
        current.next = prev
        prev = current
        current = next_node
    return prev

# Create linked list: 1 -> 2 -> 3
head = Node(1)
head.next = Node(2)
head.next.next = Node(3)

# Reverse and print the list
reversed_head = reverse_linked_list(head)
while reversed_head:
    print(reversed_head.data, end=" -> ")
    reversed_head = reversed_head.next

10. How to implement a simple binary search algorithm?

def binary_search(arr, target):
    low, high = 0, len(arr) - 1
    while low <= high:
        mid = (low + high) // 2
        if arr[mid] == target:
            return mid
        elif arr[mid] < target:
            low = mid + 1
        else:
            high = mid - 1
    return -1

print(binary_search([1, 2, 3, 4, 5, 6, 7], 4))  # 3

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