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Program to find the nth row of Pascal's Triangle in Python
Pascal's Triangle is a triangular array of numbers where each row represents the binomial coefficients. We need to find the nth row (0-indexed) of this mathematical structure.
Understanding Pascal's Triangle
Pascal's Triangle follows these rules:
- The top row contains only [1]
- Each subsequent row starts and ends with 1
- Each interior number is the sum of the two numbers above it
Algorithm Approach
We'll build each row iteratively by adding adjacent elements from the previous row ?
def pascal_triangle_row(n):
if n == 0:
return [1]
if n == 1:
return [1, 1]
previous_row = [1, 1]
for i in range(2, n + 1):
current_row = [1] # Start with 1
# Add adjacent elements from previous row
for j in range(len(previous_row) - 1):
current_row.append(previous_row[j] + previous_row[j + 1])
current_row.append(1) # End with 1
previous_row = current_row
return previous_row
# Test the function
print(pascal_triangle_row(4))
print(pascal_triangle_row(0))
print(pascal_triangle_row(3))
[1, 4, 6, 4, 1] [1] [1, 3, 3, 1]
Using Mathematical Formula
We can also calculate each element directly using the combination formula: C(n,k) = n! / (k! * (n-k)!) ?
def pascal_triangle_formula(n):
row = []
for k in range(n + 1):
# Calculate C(n, k) = n! / (k! * (n-k)!)
value = 1
for i in range(k):
value = value * (n - i) // (i + 1)
row.append(value)
return row
# Test the formula approach
print(pascal_triangle_formula(4))
print(pascal_triangle_formula(5))
[1, 4, 6, 4, 1] [1, 5, 10, 10, 5, 1]
Comparison of Methods
| Method | Time Complexity | Space Complexity | Best For |
|---|---|---|---|
| Iterative | O(n²) | O(n) | Understanding the pattern |
| Mathematical | O(n) | O(n) | Direct calculation |
Conclusion
Pascal's Triangle can be generated iteratively by summing adjacent elements from the previous row. The mathematical approach using combinations is more efficient for calculating a specific row directly.
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