Common Python Data Analysis Mistakes: Side-by-Side Comparison of Key Methods
Sorting Operations
List Sorting
Python lists offer two distinct sorting approaches with different behaviors:
# sort() modifies the list in-place and returns None
numbers = [3, 1, 4, 1, 5]
result = numbers.sort()
print(result) # None
print(numbers) # [1, 1, 3, 4, 5]
# sorted() returns a new sorted list, leaving the original unchanged
numbers ...
Posted on Tue, 11 Aug 2026 17:01:33 +0000 by mark_c
Avoidable Pitfalls in NumPy for Data Analysis
Key Array Attributes Without Parentheses
arr.dtype
arr.shape # yields a tuple
arr.size
arr.ndim # number of dimensions
Reshaping vs Resizing: arr.reshape, arr.resize, np.resize
arr.reshape(dim1, dim2, ...) returns a new array without modifying the original, whereas arr.resize((dim1, dim2, ...)) alters the array in-place and returns nothi ...
Posted on Fri, 19 Jun 2026 18:22:00 +0000 by strago