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