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Day 15 · ~11 min●

Five days of analysis and one defensive read. What changed in how your functions feel after this week?

They stopped being "fetch and hope." Every read now has a .get default, the sort has a default="", and the multi-source function survives one failed API. It feels sturdy.

Sturdy is the right word. One-line defaults are the cheapest upgrade you can add to a function — free error handling at the language level.

The grouped counter was the new pattern for me — seeding a dict with every key at zero before the loop, not waiting for items to appear.

Pre-seeded counters keep your report shape stable across runs. Empty input still produces a valid dict — same keys, zero values. Let's check the corners before Week 3 swaps reads for writes.

Week 2 Recap

Five analytic functions this week:

longest_snippet — max(items, key=len, default="") picks the widest
event_titles_with_keyword — filtered comprehension with case-insensitive in
snippets_by_length_bucket — pre-seeded dict counter across short/medium/long
safe_two_api_count — per-API try/except returning -1 on failure
build_digest — two reads, two comprehensions, one two-key digest dict

Key patterns: key= parameter on built-ins, .lower() on both sides of in, seeded counters for stable shapes, and per-call try/except so one failure never kills both reads.

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Day 15 · ~11 min●

Five days of analysis and one defensive read. What changed in how your functions feel after this week?

They stopped being "fetch and hope." Every read now has a .get default, the sort has a default="", and the multi-source function survives one failed API. It feels sturdy.

Sturdy is the right word. One-line defaults are the cheapest upgrade you can add to a function — free error handling at the language level.

The grouped counter was the new pattern for me — seeding a dict with every key at zero before the loop, not waiting for items to appear.

Pre-seeded counters keep your report shape stable across runs. Empty input still produces a valid dict — same keys, zero values. Let's check the corners before Week 3 swaps reads for writes.

Week 2 Recap

Five analytic functions this week:

longest_snippet — max(items, key=len, default="") picks the widest
event_titles_with_keyword — filtered comprehension with case-insensitive in
snippets_by_length_bucket — pre-seeded dict counter across short/medium/long
safe_two_api_count — per-API try/except returning -1 on failure
build_digest — two reads, two comprehensions, one two-key digest dict

Key patterns: key= parameter on built-ins, .lower() on both sides of in, seeded counters for stable shapes, and per-call try/except so one failure never kills both reads.

Week 2 Recap

Five analytic functions this week:

longest_snippet — max(items, key=len, default="") picks the widest

event_titles_with_keyword — filtered comprehension with case-insensitive in

snippets_by_length_bucket — pre-seeded dict counter across short/medium/long

safe_two_api_count — per-API try/except returning -1 on failure

build_digest — two reads, two comprehensions, one two-key digest dict

Key patterns: key= parameter on built-ins, .lower() on both sides of in, seeded counters for stable shapes, and per-call try/except so one failure never kills both reads.

Week 2 Recap

Five analytic functions this week:

longest_snippet — max(items, key=len, default="") picks the widest

event_titles_with_keyword — filtered comprehension with case-insensitive in

snippets_by_length_bucket — pre-seeded dict counter across short/medium/long

safe_two_api_count — per-API try/except returning -1 on failure

build_digest — two reads, two comprehensions, one two-key digest dict

Key patterns: key= parameter on built-ins, .lower() on both sides of in, seeded counters for stable shapes, and per-call try/except so one failure never kills both reads.