commit 19bb5815d434a968cf3bca532b9edaeca64ae50d
parent b98d5a0c98bae5873b5ac1c5c90b78ad1bee6de2
Author: Andrew <andrewlaack1@gmail.com>
Date: Mon, 24 Jun 2024 21:13:41 -0500
Did diagramming and some stuff
Diffstat:
4 files changed, 352 insertions(+), 0 deletions(-)
diff --git a/dataViz/Diagram1.ipynb b/dataViz/Diagram1.ipynb
@@ -0,0 +1,100 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/svg+xml": [
+ "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
+ "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
+ " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
+ "<!-- Generated by graphviz version 2.43.0 (0)\n",
+ " -->\n",
+ "<!-- Title: %3 Pages: 1 -->\n",
+ "<svg width=\"134pt\" height=\"116pt\"\n",
+ " viewBox=\"0.00 0.00 134.00 116.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
+ "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 112)\">\n",
+ "<title>%3</title>\n",
+ "<polygon fill=\"white\" stroke=\"transparent\" points=\"-4,4 -4,-112 130,-112 130,4 -4,4\"/>\n",
+ "<!-- A -->\n",
+ "<g id=\"node1\" class=\"node\">\n",
+ "<title>A</title>\n",
+ "<ellipse fill=\"none\" stroke=\"black\" cx=\"63\" cy=\"-90\" rx=\"27\" ry=\"18\"/>\n",
+ "<text text-anchor=\"middle\" x=\"63\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\">A</text>\n",
+ "</g>\n",
+ "<!-- B -->\n",
+ "<g id=\"node2\" class=\"node\">\n",
+ "<title>B</title>\n",
+ "<ellipse fill=\"none\" stroke=\"black\" cx=\"27\" cy=\"-18\" rx=\"27\" ry=\"18\"/>\n",
+ "<text text-anchor=\"middle\" x=\"27\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\">B</text>\n",
+ "</g>\n",
+ "<!-- A->B -->\n",
+ "<g id=\"edge2\" class=\"edge\">\n",
+ "<title>A->B</title>\n",
+ "<path fill=\"none\" stroke=\"black\" d=\"M54.65,-72.76C50.29,-64.28 44.85,-53.71 39.96,-44.2\"/>\n",
+ "<polygon fill=\"black\" stroke=\"black\" points=\"42.99,-42.44 35.3,-35.15 36.77,-45.64 42.99,-42.44\"/>\n",
+ "</g>\n",
+ "<!-- C -->\n",
+ "<g id=\"node3\" class=\"node\">\n",
+ "<title>C</title>\n",
+ "<ellipse fill=\"none\" stroke=\"black\" cx=\"99\" cy=\"-18\" rx=\"27\" ry=\"18\"/>\n",
+ "<text text-anchor=\"middle\" x=\"99\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\">C</text>\n",
+ "</g>\n",
+ "<!-- A->C -->\n",
+ "<g id=\"edge1\" class=\"edge\">\n",
+ "<title>A->C</title>\n",
+ "<path fill=\"none\" stroke=\"black\" d=\"M71.35,-72.76C75.71,-64.28 81.15,-53.71 86.04,-44.2\"/>\n",
+ "<polygon fill=\"black\" stroke=\"black\" points=\"89.23,-45.64 90.7,-35.15 83.01,-42.44 89.23,-45.64\"/>\n",
+ "</g>\n",
+ "</g>\n",
+ "</svg>\n"
+ ],
+ "text/plain": [
+ "<graphviz.graphs.Digraph at 0x7f4bcbd3e450>"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from graphviz import Digraph\n",
+ "\n",
+ "dot = Digraph()\n",
+ "\n",
+ "dot.node('A')\n",
+ "dot.node('B')\n",
+ "dot.node('C')\n",
+ "dot.edge('A' , 'C')\n",
+ "dot.edge('A' , 'B')\n",
+ "\n",
+ "dot"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": ".venv",
+ "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": "3.11.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/dataViz/Diagram2.dot b/dataViz/Diagram2.dot
@@ -0,0 +1,5 @@
+digraph MyGraph {
+ Begin [style=filled, fillcolor=yellow]
+ Begin -> End [dir=both]
+
+}+
\ No newline at end of file
diff --git a/dataViz/Diagram3.dot b/dataViz/Diagram3.dot
@@ -0,0 +1,5 @@
+digraph IntegrationGraph{
+ "Control M" -> "OS Prod" [label="1 : Request Data"]
+ "OS Prod" -> "Control M" [label="2 : Return Data"]
+ "Control M" -> "OS Dev" [label="3: Send Data to Dev"]
+}+
\ No newline at end of file
diff --git a/tensors/TensorsWithTF.ipynb b/tensors/TensorsWithTF.ipynb
@@ -0,0 +1,240 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(2, 2), dtype=float32, numpy=\n",
+ "array([[1., 2.],\n",
+ " [4., 5.]], dtype=float32)>"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import tensorflow as tf\n",
+ "\n",
+ "t = tf.constant([[1.,2.], [4.,5]])\n",
+ "t"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(TensorShape([2, 2]), tf.float32)"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "t.shape, t.dtype"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(2, 2), dtype=float32, numpy=\n",
+ "array([[1., 4.],\n",
+ " [2., 5.]], dtype=float32)>"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "tf.transpose(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(2, 2), dtype=float32, numpy=\n",
+ "array([[ 5., 14.],\n",
+ " [14., 41.]], dtype=float32)>"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "t @ tf.transpose(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(2, 2), dtype=float32, numpy=\n",
+ "array([[-1.6666667 , 0.6666667 ],\n",
+ " [ 1.3333334 , -0.33333334]], dtype=float32)>"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "tf.linalg.inv(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(), dtype=float32, numpy=12.0>"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "tf.reduce_sum(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(2,), dtype=float64, numpy=array([2., 4.])>"
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "a = np.array([2.,4.])\n",
+ "tf.constant(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[1., 2.],\n",
+ " [4., 5.]], dtype=float32)"
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "t.numpy()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<tf.Tensor: shape=(2,), dtype=float64, numpy=array([ 4., 16.])>"
+ ]
+ },
+ "execution_count": 30,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "tf.square(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 1., 4.],\n",
+ " [16., 25.]], dtype=float32)"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.square(t)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": ".venv",
+ "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": "3.11.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
