I like sports. I thought it would be fun to run a full MLB season (in a slightly different format) in less than a second. This is the result.
Once you pull the project and change into its directory, type python mlb.py or ./mlb.py to run the program. It will generate a ranking table like the one below.
San Francisco Giants 58 W 44 L 478 S 440 G Toronto Blue Jays 57 W 45 L 481 S 437 G Washington Nationals 57 W 45 L 479 S 439 G Los Angeles Dodgers 57 W 45 L 472 S 446 G Cincinnati Reds 57 W 45 L 469 S 449 G Colorado Rockies 57 W 45 L 467 S 451 G Detroit Tigers 56 W 46 L 490 S 428 G Pittsburgh Pirates 56 W 46 L 474 S 444 G Houston Astros 55 W 47 L 481 S 437 G Kansas City Royals 54 W 48 L 469 S 449 G Philadelphia Phillies 54 W 48 L 451 S 467 G Baltimore Orioles 53 W 49 L 482 S 436 G Oakland Athletics 53 W 49 L 455 S 463 G Miami Marlins 52 W 50 L 467 S 451 G Arizona Diamondbacks 52 W 50 L 456 S 462 G Chicago Cubs 52 W 50 L 454 S 464 G Minnesota Twins 52 W 50 L 439 S 479 G New York Yankees 51 W 51 L 459 S 459 G Milwaukee Brewers 50 W 52 L 463 S 455 G New York Mets 49 W 53 L 448 S 470 G Texas Rangers 48 W 54 L 441 S 477 G Boston Red Sox 47 W 55 L 454 S 464 G Atlanta Braves 47 W 55 L 454 S 464 G Tampa Bay Rays 47 W 55 L 435 S 483 G San Diego Padres 46 W 56 L 459 S 459 G Cleveland Indians 45 W 57 L 433 S 485 G St. Louis Cardinals 44 W 58 L 452 S 466 G Seattle Mariners 42 W 60 L 440 S 478 G Chicago White Sox 41 W 61 L 440 S 478 G Anaheim Angels 41 W 61 L 428 S 490 G
-h: display help message.-r: don't display the rankings-s: display the scores-d: display the score distributions-i <num>: the number of games a team plays its division rivals at home (default: 4)-j <num>: the number of games a team plays its league rivals at home (default: 2)-k <num>: the number of games a team plays its non-league rivals at home (default: 1)