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  1. Python programming tricks
    Python language features and idioms enhancing code efficiency and readability
    Slicing
    Extract sequence parts
    Generator
    Yield values lazily
    Negation
    Negate boolean value
    Append function
    Add list element
    Merging dictionaries
    Combine key values
    print end parameter
    Control line ending
    print sep parameter
    Custom output separator
    Ternary conditional operator
    Inline conditional assignment
    Remove duplicates from lists
    Eliminate repeated items
    Matching regex
    Find pattern matches
    Regex pipe
    Match multiple patterns
    Lambda functions
    Anonymous inline function
    swapcase method
    Invert letter case
    isalnum method
    Check alphanumeric string
    Exception handling
    Manage runtime errors
    Identifying differences in lists
    Compare list contents
    Args and kwargs
    Variable function arguments
    List comprehension
    Concise list creation
    Aliasing
    Shared object reference
    F-strings
    Inline string formatting
    Standalone underscore
    Last result storage
    Underscore visual
    Readable number literal
    __name__ == '__main__'
    Main program check
    Enumerate
    Index value pairing
    Sorting with key
    Custom sort criteria
    Reversed iteration
    Iterate backwards sequence
    Checking for substring
    Search within string
    Flatten a list of lists
    Merge nested lists
    String join
    Concatenate with separator
    Unpacking
    Destructure iterable values
  2. Python offers a variety of challenging problems that test your problem-solving skills and understanding of algorithms. Below are some tricky programs with examples to help you explore advanced concepts.

    1. Check if a 2D List Forms a Magic Square

    A magic square is a grid where the sum of numbers in each row, column, and diagonal is the same.

    def is_magic_square(matrix):
    n = len(matrix)
    target_sum = sum(matrix[0])

    # Check rows and columns
    for i in range(n):
    if sum(matrix[i]) != target_sum or sum(matrix[j][i] for j in range(n)) != target_sum:
    return False

    # Check diagonals
    if sum(matrix[i][i] for i in range(n)) != target_sum or sum(matrix[i][n - i - 1] for i in range(n)) != target_sum:
    return False

    return True

    # Example
    matrix = [[2, 7, 6], [9, 5, 1], [4, 3, 8]]
    print(is_magic_square(matrix)) # Output: True
    Copied!

    2. Generate NxN Spiral of Prime Numbers

    This program generates a spiral matrix filled with prime numbers.

    def generate_prime_spiral(n):
    def is_prime(num):
    if num < 2:
    return False
    for i in range(2, int(num**0.5) + 1):
    if num % i == 0:
    return False
    return True

    primes = [x for x in range(2, n**2 * 10) if is_prime(x)]
    matrix = [[0] * n for _ in range(n)]
    directions = [(0, 1), (1, 0), (0, -1), (-1, 0)]
    x, y, d = 0, 0, 0

    for prime in primes[:n*n]:
    matrix[x][y] = prime
    nx, ny = x + directions[d][0], y + directions[d][1]
    if not (0 <= nx < n and 0 <= ny < n and matrix[nx][ny] == 0):
    d = (d + 1) % 4
    x, y = x + directions[d][0], y + directions[d][1]

    return matrix

    # Example
    spiral = generate_prime_spiral(4)
    for row in spiral:
    print(row)
    Copied!
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