Course Content

NumPy in a Nutshell

1. Getting Started with NumPy

What is NumPy?Function array()Basic Array Creation Quiz

2. Dimensions in Arrays

1-D Arrays Mathematical Operations with 1-D Arrays 2-D Arrays 3-D Arrays Multidimensional Arrays Quiz

3. Indexing and Slicing

Access Array Elements Match Math Operations Access 2-D and 3-D Arrays Match the Slicing Negative Indexing Match the Indices Get One Dimensional Array Using Slice and Only Positive Indexes Get One Dimensional Array Using Only Negative Indexes

4. Important Functions

Reshaping Flattening Joining Sorting Arrays Copying Arrays

Access 2-D and 3-D Arrays

Let's have a look at an example of a 2-D array with axis numbering:

Let's have a look at an example of indexing (both positive and negative) in 2-D arrays:

Let's examine the syntax of slicing: array[start_row: end_row: step_row, start_column: end_column: step_column], where:

start_row is the index from which row slicing begins;
end_row is the index where row slicing stops (note that this index is not included);
step_row is the parameter that specifies the intervals between row indices;
start_column is the index from which column slicing starts;
end_column is the index where column slicing ends (note that this index is not included);
step_column is the parameter that determines the intervals between column indices.

Now, let's refer to the following image:

Let's have a look at an example of a 3-D array with axis numbering:

Task

Consider the following array: [[6, 5, 7, 8], [65, 2, 7, 9]].

Retrieve the fourth element from the first part of the array [6, 5, 7, 8], and the first element from the second part of the array [65, 2, 7, 9].
Multiply the obtained elements together.
Display the product of the obtained elements.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

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Thanks for your feedback!

Section 3. Chapter 3

Access 2-D and 3-D Arrays

Let's have a look at an example of a 2-D array with axis numbering:

Let's have a look at an example of indexing (both positive and negative) in 2-D arrays:

Let's examine the syntax of slicing: array[start_row: end_row: step_row, start_column: end_column: step_column], where:

start_row is the index from which row slicing begins;
end_row is the index where row slicing stops (note that this index is not included);
step_row is the parameter that specifies the intervals between row indices;
start_column is the index from which column slicing starts;
end_column is the index where column slicing ends (note that this index is not included);
step_column is the parameter that determines the intervals between column indices.

Now, let's refer to the following image:

Let's have a look at an example of a 3-D array with axis numbering:

Task

Consider the following array: [[6, 5, 7, 8], [65, 2, 7, 9]].

Retrieve the fourth element from the first part of the array [6, 5, 7, 8], and the first element from the second part of the array [65, 2, 7, 9].
Multiply the obtained elements together.
Display the product of the obtained elements.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 3. Chapter 3

Access 2-D and 3-D Arrays

Let's have a look at an example of a 2-D array with axis numbering:

Let's have a look at an example of indexing (both positive and negative) in 2-D arrays:

Let's examine the syntax of slicing: array[start_row: end_row: step_row, start_column: end_column: step_column], where:

start_row is the index from which row slicing begins;
end_row is the index where row slicing stops (note that this index is not included);
step_row is the parameter that specifies the intervals between row indices;
start_column is the index from which column slicing starts;
end_column is the index where column slicing ends (note that this index is not included);
step_column is the parameter that determines the intervals between column indices.

Now, let's refer to the following image:

Let's have a look at an example of a 3-D array with axis numbering:

Task

Consider the following array: [[6, 5, 7, 8], [65, 2, 7, 9]].

Retrieve the fourth element from the first part of the array [6, 5, 7, 8], and the first element from the second part of the array [65, 2, 7, 9].
Multiply the obtained elements together.
Display the product of the obtained elements.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Let's have a look at an example of a 2-D array with axis numbering:

Let's have a look at an example of indexing (both positive and negative) in 2-D arrays:

Let's examine the syntax of slicing: array[start_row: end_row: step_row, start_column: end_column: step_column], where:

start_row is the index from which row slicing begins;
end_row is the index where row slicing stops (note that this index is not included);
step_row is the parameter that specifies the intervals between row indices;
start_column is the index from which column slicing starts;
end_column is the index where column slicing ends (note that this index is not included);
step_column is the parameter that determines the intervals between column indices.

Now, let's refer to the following image:

Let's have a look at an example of a 3-D array with axis numbering:

Task

Consider the following array: [[6, 5, 7, 8], [65, 2, 7, 9]].

Retrieve the fourth element from the first part of the array [6, 5, 7, 8], and the first element from the second part of the array [65, 2, 7, 9].
Multiply the obtained elements together.
Display the product of the obtained elements.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 3. Chapter 3

Switch to desktop for real-world practiceContinue from where you are using one of the options below