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What is the difference between Xrange and range?

Peer-reviewed by HireXTech Technical Panel • Updated for 2025/2026 hiring • Editorial standards
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Interviewer Expectations for this Question
01
Core Competency

Assesses fundamental understanding of Python conventions, runtime behavior, and memory/performance considerations.

02
Evaluation Criteria

Hiring managers look for precision, avoidance of ambiguous jargon, and ability to explain trade-offs under real production conditions.

Comprehensive Model Answer Verified Solution

The distinction between range and xrange was a landmark difference between Python 2 and Python 3:

### Historical Context:

  • In Python 2:
  • range(n) eagerly created and allocated a physical list of n integers in memory. For range(10000000), this consumed hundreds of megabytes of RAM.
  • xrange(n) returned an on-demand generator/sequence object that computed numbers lazily without allocating a giant list.
  • In Python 3:
  • xrange was completely removed.
  • The Python 3 range object adopted the lazy, memory-efficient behavior of Python 2's xrange.

### Modern Python 3 range:
In Python 3, range(1000000) consumes constant $O(1)$ memory regardless of size because it computes values on the fly:

import sys
r = range(1_000_000_000)
print(sys.getsizeof(r))  # Only 48 bytes!

Candidate Response Strategy & Interview Tips

  1. Start with a concise one-sentence summary: Deliver a direct, confident answer first before expanding into nuances.
  2. Demonstrate real-world trade-offs: Discuss where this approach excels and when you would avoid it in production systems.
  3. Discuss complexity & edge cases: Proactively explain time/space complexity or boundary conditions (null values, scale limits).
  4. Prepare for interviewer follow-ups: Technical hiring panels frequently probe deeper into concurrency, backward compatibility, or alternative libraries.
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