r/ocaml
let reddit = OCaml;;
en
N/A
OCaml is a statically typed functional programming language. It occupies a delightful sweet spot between high-level expressiveness and good performance.
Why use OCaml? OCaml for the Masses
Websites:
11,224
January 25, 2008
public
all_ads
Total Submissions
3,980
Total Comments
17,100
Earliest Submission
January 25, 2008
Earliest Comment
January 26, 2008
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 55 | 15,405 | 627.8 | 0.1 | 4887.15 | |
| #2 | 104 | 31,029 | 1187.1 | 0.3 | 4587.97 | |
| #3 | 109 | 37,564 | 1244.2 | 0.3 | 3972.00 | |
| #4 | 77 | 64,636 | 878.9 | 0.5 | 1630.69 | |
| #5 | 43 | 46,496 | 490.8 | 0.4 | 1265.92 | |
| #6 | 38 | 49,831 | 433.7 | 0.4 | 1043.85 | |
| #7 | 54 | 77,038 | 616.4 | 0.6 | 959.50 | |
| #8 | 98 | 140,836 | 1118.6 | 1.2 | 952.51 | |
| #9 | 40 | 105,226 | 456.6 | 0.9 | 520.35 | |
| #10 | 265 | 703,654 | 3024.8 | 5.9 | 515.52 | |
| #11 | 63 | 221,402 | 719.1 | 1.8 | 389.51 | |
| #12 | 48 | 191,595 | 547.9 | 1.6 | 342.94 | |
| #13 | 40 | 167,236 | 456.6 | 1.4 | 327.40 | |
| #14 | 43 | 182,431 | 490.8 | 1.5 | 322.64 | |
| #15 | 35 | 158,107 | 399.5 | 1.3 | 303.02 | |
| #16 | 56 | 274,332 | 639.2 | 2.3 | 279.43 | |
| #17 | 40 | 200,966 | 456.6 | 1.7 | 272.45 | |
| #18 | 31 | 159,967 | 353.8 | 1.3 | 265.27 | |
| #19 | 34 | 179,632 | 388.1 | 1.5 | 259.09 | |
| #20 | 185 | 1,042,247 | 2111.6 | 8.7 | 242.97 | |
| #21 | 100 | 601,681 | 1141.4 | 5.0 | 227.50 | |
| #22 | 243 | 1,500,287 | 2773.7 | 12.5 | 221.71 | |
| #23 | 94 | 713,906 | 1072.9 | 6.0 | 180.24 | |
| #24 | 254 | 2,013,194 | 2899.2 | 16.8 | 172.70 | |
| #25 | 70 | 556,421 | 799.0 | 4.6 | 172.21 | |
| #26 | 80 | 688,550 | 913.1 | 5.7 | 159.04 | |
| #27 | 83 | 937,269 | 947.4 | 7.8 | 121.22 | |
| #28 | 117 | 1,404,688 | 1335.5 | 11.7 | 114.01 | |
| #29 | 114 | 1,443,502 | 1301.2 | 12.0 | 108.10 | |
| #30 | 44 | 639,367 | 502.2 | 5.3 | 94.20 | |
| #31 | 105 | 1,539,252 | 1198.5 | 12.8 | 93.38 | |
| #32 | 33 | 498,191 | 376.7 | 4.2 | 90.67 | |
| #33 | 92 | 1,434,456 | 1050.1 | 12.0 | 87.79 | |
| #34 | 34 | 560,069 | 388.1 | 4.7 | 83.10 | |
| #35 | 58 | 965,967 | 662.0 | 8.1 | 82.19 | |
| #36 | 45 | 753,072 | 513.6 | 6.3 | 81.80 | |
| #37 | 45 | 785,260 | 513.6 | 6.5 | 78.44 | |
| #38 | 181 | 3,231,369 | 2066.0 | 26.9 | 76.67 | |
| #39 | 41 | 807,303 | 468.0 | 6.7 | 69.52 | |
| #40 | 55 | 1,102,709 | 627.8 | 9.2 | 68.27 | |
| #41 | 86 | 1,784,588 | 981.6 | 14.9 | 65.97 | |
| #42 | 71 | 1,497,481 | 810.4 | 12.5 | 64.90 | |
| #43 | 53 | 1,139,994 | 605.0 | 9.5 | 63.64 | |
| #44 | 30 | 672,429 | 342.4 | 5.6 | 61.07 | |
| #45 | 209 | 5,123,036 | 2385.6 | 42.7 | 55.84 | |
| #46 | 145 | 3,573,754 | 1655.1 | 29.8 | 55.54 | |
| #47 | 58 | 1,472,506 | 662.0 | 12.3 | 53.92 | |
| #48 | 32 | 1,260,092 | 365.3 | 10.5 | 34.76 | |
| #49 | 37 | 1,520,981 | 422.3 | 12.7 | 33.30 | |
| #50 | 195 | 9,616,183 | 2225.8 | 80.2 | 27.76 |