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Correct the grammar in 1-ndarray tutorial #17513

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Correct the grammar in 1-ndarray tutorial #17513

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12 changes: 6 additions & 6 deletions docs/python_docs/python/tutorials/getting-started/crash-course/1-ndarray.md
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Expand Up @@ -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

Expand Down Expand Up @@ -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
Expand All @@ -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)
Expand All @@ -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
Expand Down