# Jupyter Notebooks for Engineering Classes

I have one more “traditional” engineering class in my time at Ohio
State which is ECE 2020: Introduction to Analogue Circuits. I took
digital circuits a couple semesters ago, and that class was basically
boolean expressions but with little lines connecting to boxes. This
class is more resistors/inductors/capacitors/*I never took a class on
complex numbers oh God*. So, there’s a little more algebra involved,
and it becomes especially unwieldy when we start using complex numbers
for the phasor domain.

But I knew there were symbolic solvers out there (Wolfram Alpha, for one), and I was feeling more comfortable with Jupyter notebooks, so I decided to use Sympy to do all of my homework for ECE 2020 in a notebook.

Here’s how I set it up:

- Set up a virtual environment (preferably in Python3)
- Install iPython, Jupyter and Sympy
- Create a notebook
- Use Sympy and
`cmath`

to solve the hard problems

## Setting up a Virtual Environment

Assuming you have `python3`

installed on your machine (if
you don’t, look here (or anywhere
on the internet) for instructions):

```
cd <your school folder>
python3 -m venv school-venv
. school-venv/bin/activate
```

## Installing Dependencies

We need Jupyter and Sympy (Jupyter will install iPython as a dependency):

`pip install jupyter sympy`

Then we need to create a kernel for Jupyter that corresponds to this virtual environment:

```
. school-venv/bin/activate
ipython kernel install --user --name=school
```

## Create a notebook

`jupyter notebook <your school folder>`

This will launch the web interface. From here, I navigate to my class folder and create a new notebook with my school kernel

## Solve Problems

I always import Sympy and `exp`

from `cmath`

,
and set up j to mean `0+1j`

:

```
import sympy as sym
from cmath import exp
= 1j # for convenience j
```

And here’s an example of how I would do an ECE problem:

First, set up my constants.

```
= 300
w = 8
z1 = 8
z2 = 1+0j
v = 2+0j i
```

Next, I set up values that depend on constants.

```
= j * w * 3 * 10 ** -6
zL print('zL:', zL)
= 1 / (1/z1 + 1/(zL + z2))
zTH print('zTH:', zTH)
= -j / (300 * 5 * 10 ** -6)
zC print('zC:', zC)
```

Finally, I use Sympy to solve for variables in multiple equations.

Note: You need to set up

`Va`

and`Vc`

as`sym.Symbol()`

for Sympy to solve for it.

Note 2: The results from Sympy are not type

`complex`

; they must be cast before being used with other`complex`

numbers, or you end up with weird results.

```
= sym.Symbol('Va')
Va = sym.Symbol('Vc')
Vc
= sym.solve(
result
(- v) / z1 + (Va - Vc) / zL,
(Va - Va) / zL + Vc / z2 - i
(Vc # as far as I know, these equations are always assumed to equal 0
),
(Va, Vc)
)= complex(result[Va])
vTH print('vTH:', vTH)
```

And this is how it all might look within a Jupyter notebook:

This is how I avoid doing any hard math in my ECE class.

Please email me if you have any comments or want to discuss further.

[Relevant link] [Source]

Sam Stevens, 2022