Language Details: Python

Code Jam 2008 Participants using Python

Qualifier

Used by 685 people to solve 2302 sets

Highest Rank: xyx (32), Bayesian (36), camrdale (40), beerscout (55), 2KismyNickname (73).

Most sets: 2KismyNickname (6), Bayesian (6), Beorn (6), Chrono (6), Fj. (6), Keegan (6), Knio (6).

Round 1A

Used by 242 people to solve 536 sets

Highest Rank: ecprice (45), ... (55), eMBe (65), gizzywump (74), OldDonkey (83).

Most sets: ... (5), Eddie (5), OldDonkey (5), Tiberius (5), elachuni (5), gizzywump (5), EPAstor (4).

Round 1B

Used by 202 people to solve 309 sets

Highest Rank: trchen1033 (128), vlad (155), lidaobing (167), yonch (179), Vytis (214).

Most sets: Vytis (4), lidaobing (4), rspeer (4), tharkang (4), vlad (4), yonch (4), .K. (3).

Round 1C

Used by 196 people to solve 439 sets

Highest Rank: Chrono (39), lifthrasiir (63), Klinck (66), shacharr (97), albertn (98).

Most sets: Klinck (5), lifthrasiir (5), Danko (4), MTWTFFF (4), RalfKistner (4), Spicious (4), albertn (4).

Round 2

Used by 135 people to solve 274 sets

Highest Rank: Soultaker (27), linguo (48), jonathantan86 (153), ipknHama (165), RalfKistner (191).

Most sets: jonathantan86 (6), RalfKistner (5), Faber (4), Klinck (4), MTWTFFF (4), OldDonkey (4), abiczo (4).

Round 3

Used by 26 people to solve 44 sets

Highest Rank: rspeer (69), beerscout (100), linguo (160), zibada (180), eMBe (183).

Most sets: rspeer (5), Klinck (3), RalfKistner (3), jonathantan86 (3), zibada (3), Faber (2), MTWTFFF (2).

APAC Onsite

Used by 1 people to solve 2 sets

Highest Rank: OldDonkey (98).

Most sets: OldDonkey (2).

AMER Onsite

Used by 3 people to solve 8 sets

Highest Rank: linguo (4), rspeer (29), Aekeri (82).

Most sets: rspeer (4), Aekeri (2), linguo (2).

EMEA Onsite

Used by 2 people to solve 12 sets

Highest Rank: Klinck (8), zibada (24).

Most sets: Klinck (6), zibada (6).

World Final

Used by 3 people to solve 7 sets

Highest Rank: zibada (62), linguo (74), Klinck (96).

Most sets: zibada (5), Klinck (1), linguo (1).



Region popularity

Pie chart: Countries participants using this language were representing.Pie Chart: Countries participants using this language were representing (bottom 26%).