Gain insights into Python for scientific computing. Explore arrays, plotting, linear equations, and algorithms using NumPy, Matplotlib, SciPy. Delve into applying tools with practical exercises.

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If you're a scientist or an engineer interested in learning scientific computing, this is the place to start.

In this course, you'll learn to write your own useful code to perform impactful scientific computations. Along the way, your understanding will be tested with periodic quizzes and exercises.

Topics covered in this course include arrays, plotting, linear equations, symbolic computation, scientific algorithms, and random variables. You’ll also be exposed to popular Python packages like NumPy, Matplotlib, SciPy, and others. In the last part of the course, the application section will test your ability to recall and apply the tools you have studied into newly learned scientific concepts.

At the end of this course, you'll be equipped with the tools necessary for everyday scientific computation.

Python for Scientists and Engineers

What is the output of the code?

```python 3
arr = np.array([[[0, 1],
                 [2, 3]],
                [[4, 5],
                 [6, 7]]])

print(arr[1][0][1])
```

What is the output of the code?
<pre><code class="language-python">arr = np.array([[[0, 1],
 [2, 3]],
 [[4, 5],
 [6, 7]]])

print(arr[1][0][1])
</code></pre>

Given an array `arr`:
```python 3
arr = np.arange(1, 100)
```
Which of the following commands will print multiples of 3?

*Note: There can be multiple answers to this question.*

Given an array <code>arr</code>:
<pre><code class="language-python">arr = np.arange(1, 100)
</code></pre>
Which of the following commands will print multiples of 3?
Note: There can be multiple answers to this question.

[[  0   3   6]

 [-10  -7  -4]
 
 [-20 -17 -14]]

[[  0   8  16]

 [-10  -2   6]
 
 [-20 -12  -4]]

[[  0  -8 -16]

 [ 10   2  -6]
 
 [ 20  12   4]]

[[  0  -9 -18]

 [  5  -4 -13]
 
 [ 10   1  -8]]

What is the output of the code?

```python 3
M = np.array([[ 0,  1,  2], [ 5,  6,  7], [10, 11, 12]])
N = np.array([[ 0,  5, 10],[ 0, 5, 10], [ 0,  5, 10]])

print(N - M * 2)
```

What is the output of the code?
<pre><code class="language-python">M = np.array([[ 0, 1, 2], [ 5, 6, 7], [10, 11, 12]])
N = np.array([[ 0, 5, 10],[ 0, 5, 10], [ 0, 5, 10]])

print(N - M * 2)
</code></pre>

Number of rows or the number of columns should match.

What condition must be satisfied for an element-wise multiplication of a 1-D array and a 2-D array?

What condition must be satisfied for an element-wise multiplication of a 1-D array and a 2-D array?

What is the output of the code below:

```python 3
arr = np.array([5, 10, 12, 4, 3, 2, 1, 6, 12, 9, 8])
print(np.max(arr)) 
```

What is the output of the code below:
<pre><code class="language-python">arr = np.array([5, 10, 12, 4, 3, 2, 1, 6, 12, 9, 8])
print(np.max(arr)) 
</code></pre>

What is the return type of `any()` and `all()` method?

What is the return type of <code>any()</code> and <code>all()</code> method?

What is the output of the code below?

```python 3
x = np.arange(10)
y = x
y[4] = 24 
x[5] = 25
print(x)
```

What is the output of the code below?
<pre><code class="language-python">x = np.arange(10)
y = x
y[4] = 24 
x[5] = 25
print(x)
</code></pre>

This quiz will test your knowledge of indexing and various array operations.

Introduction

Python Refresher

Arrays

Plotting

Systems of Linear Equations

Symbolic Computation

Scientific Algorithms

Random Variables

Applications

Conclusion

Appendix

Python for Scientists and Engineers Exam

Quiz 3!