logic.ipynb

tryit.ipynb

{
cells: [
{
cell_type: "markdown",
metadata: { },
source: [
"# This is a test
",
"Let's do some Markdown.
",
"Then some python.
",
"- Here is a list.
",
"- With some stuff in it.
",
"
",
"Pythagoras said $a^2 + b^2 = c^2$ and that's good enough for me. Let's try some syntax highlighting.
",
"```yaml
",
"---
",
"foo: "a few words"
",
"quux:
",
" - first
",
" - second
",
" - third
",
"```
",
"That was YAML. Let's try Prolog.
",
"```prolog
",
"predicate(X, Y) :- xyzzy(X), e(Y).
",
"```"
]
},
{
cell_type: "code",
execution_count: 3,
metadata: { },
outputs: [
{
name: "stdout",
output_type: "stream",
text: [
"5.0
"
]
}
],
source: [
"print((3.0**2+4.0**2) ** .5)"
]
},
{
cell_type: "code",
execution_count: 4,
metadata: { },
outputs: [
{
name: "stderr",
output_type: "stream",
text: [
"INFO:foobar:hello
"
]
}
],
source: [
"import logging
",
"logging.basicConfig(level=logging.INFO)
",
"lg = logging.getLogger("foobar")
",
"lg.info("hello")"
]
},
{
cell_type: "markdown",
metadata: { },
source: [
"One cool thing is that we can run small shell scripts. That's **pretty slick**. One thing I'm thinking of doing is baking _Jupyter_ into the docker image I'm creating at work, so that i can use it to run experiments and document stuff in the worker environment. I'll need to think a little about how to get the `ipynb` files out of the worker machines into the git repository."
]
},
{
cell_type: "code",
execution_count: 1,
metadata: { },
outputs: [
{
name: "stdout",
output_type: "stream",
text: [
"/storage/emulated/0
"
]
}
],
source: [
"%%sh
",
"pwd"
]
},
{
cell_type: "markdown",
metadata: { },
source: [
"\begin{align}
",
"\nabla \times \vec{\mathbf{B}} -\, \frac1c\, \frac{\partial\vec{\mathbf{E}}}{\partial t} & = \frac{4\pi}{c}\vec{\mathbf{j}} \\   \nabla \cdot \vec{\mathbf{E}} & = 4 \pi \rho \\
",
"\nabla \times \vec{\mathbf{E}}\, +\, \frac1c\, \frac{\partial\vec{\mathbf{B}}}{\partial t} & = \vec{\mathbf{0}} \\
",
"\nabla \cdot \vec{\mathbf{B}} & = 0 
",
"\end{align}"
]
}
],
metadata: {
kernelspec: {
display_name: "Python 3 (ipykernel)",
language: "python",
name: "python3"
},
language_info: {
codemirror_mode: {
name: "ipython",
version: 3
},
file_extension: ".py",
mimetype: "text/x-python",
name: "python",
nbconvert_exporter: "python",
pygments_lexer: "ipython3",
version: "3.9.7"
}
},
nbformat: 4,
nbformat_minor: 4
}