diff --git a/README.md b/README.md index 3804aa2..5cd0026 100644 --- a/README.md +++ b/README.md @@ -1457,8 +1457,8 @@ NumPy **Array manipulation mini language. Can run up to 100 times faster than equivalent Python code.** ```python = np.array() - = np.ones() = np.arange(from_inclusive, to_exclusive, step) + = np.ones() = np.random.randint(from_inclusive, to_exclusive, ) ``` @@ -1482,9 +1482,9 @@ right = [ 0.1 , 0.6 , 0.8 ] # Shape: (3) 1. If array shapes differ, left-pad the smaller shape with ones. ```python left = [[0.1], [0.6], [0.8]] # Shape: (3, 1) -right = [[0.1 , 0.6 , 0.8]]) # Shape: (1, 3) <- ! +right = [[0.1 , 0.6 , 0.8]] # Shape: (1, 3) <- ! ``` -2. If any dimensions differ in size, expand the ones that have size 1, by duplicating their elements. +2. If any dimensions differ in size, expand the ones that have size 1 by duplicating their elements. ```python left = [[0.1, 0.1, 0.1], [0.6, 0.6, 0.6], [0.8, 0.8, 0.8]] # Shape: (3, 3) <- ! right = [[0.1, 0.6, 0.8], [0.1, 0.6, 0.8], [0.1, 0.6, 0.8]] # Shape: (3, 3) <- ! @@ -1492,7 +1492,7 @@ right = [[0.1, 0.6, 0.8], [0.1, 0.6, 0.8], [0.1, 0.6, 0.8]] # Shape: (3, 3) <- 3. If neither non-matching dimension has size 1, rise an error. ### Example -**For each point returns index of its nearest point: `[0.1, 0.6, 0.8] => [1, 2, 1])`.** +**For each point returns index of its nearest point: `[0.1, 0.6, 0.8] => [1, 2, 1]`.** ```python >>> points = np.array([0.1, 0.6, 0.8]) array([ 0.1, 0.6, 0.8])