diff --git a/docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md b/docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md index 3378cc85829a..d825eccab944 100644 --- a/docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md +++ b/docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md @@ -17,14 +17,14 @@ # Manipulate data with `ndarray` -We'll start by introducing the `NDArray`, MXNet’s primary tool for storing and transforming data. If you’ve worked with `NumPy` before, you’ll notice that a NDArray is, by design, similar to NumPy’s multi-dimensional array. +We'll start by introducing the `NDArray`, MXNet’s primary tool for storing and transforming data. If you’ve worked with `NumPy` before, you’ll notice that an NDArray is, by design, similar to NumPy’s multi-dimensional array. ## Get started -To get started, let's import the `ndarray` package (`nd` is shortform) from MXNet. +To get started, let's import the `ndarray` package (`nd` is a shorter alias) from MXNet. ```{.python .input n=1} -# If you hasn't install MXNet yet, you can uncomment the following line to +# If you haven't installed MXNet yet, you can uncomment the following line to # install the latest stable release # !pip install -U mxnet @@ -67,7 +67,7 @@ As with NumPy, the dimensions of each NDArray are accessible by accessing the `. ## Operations -NDArray supports a large number of standard mathematical operations. Such as element-wise multiplication: +NDArray supports a large number of standard mathematical operations, such as element-wise multiplication: ```{.python .input n=18} x * y @@ -79,7 +79,7 @@ Exponentiation: y.exp() ``` -And grab a matrix’s transpose to compute a proper matrix-matrix product: +And transposing a matrix to compute a proper matrix-matrix product: ```{.python .input n=24} nd.dot(x, y.T) @@ -99,7 +99,7 @@ Read the second and third columns from `y`. y[:,1:3] ``` -and writing to a specific element +and write to a specific element. ```{.python .input n=27} y[:,1:3] = 2