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final for quarter

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James Turk 2024-12-14 14:17:33 -06:00
parent 603a0b8d4c
commit e7d57eefd8
2 changed files with 24 additions and 19 deletions
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9
18.testing.ipynb
View file

@ -96,7 +96,7 @@
" # centered at origin, radius 1\n", " # centered at origin, radius 1\n",
" result = circle_contains(1, origin, origin)\n", " result = circle_contains(1, origin, origin)\n",
" assert result\n", " assert result\n",
" assert circle_contains(1, origin, Point(.5, .5))\n", " assert circle_contains(1, origin, Point(.5, .5)), \"circle should contain 0.5, 0.5\"\n",
"\n", "\n",
"def test_circle_contains_edge():\n", "def test_circle_contains_edge():\n",
" assert circle_contains(1, origin, Point(1, 0)) # on the circle\n", " assert circle_contains(1, origin, Point(1, 0)) # on the circle\n",
@ -440,6 +440,7 @@
" (\"abc\", \"abd\", 1),\n", " (\"abc\", \"abd\", 1),\n",
" (\"abc\", \"abc\", 0),\n", " (\"abc\", \"abc\", 0),\n",
" (\"abc\", \"xyz\", 3),\n", " (\"abc\", \"xyz\", 3),\n",
" (\"abc\", \"abcd\", 1),\n",
"])\n", "])\n",
"def test_hamming_distance(str1, str2, expected):\n", "def test_hamming_distance(str1, str2, expected):\n",
" assert hamming_distance(str1, str2) == expected\n", " assert hamming_distance(str1, str2) == expected\n",
@ -453,7 +454,11 @@
"execution_count": null, "execution_count": null,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [] "source": [
"test_hamming_distance[abc-abd-1]\n",
"test_hamming_distance[abc-abc-0]\n",
"test_hamming_distance[abc-xyz-3]"
]
} }
], ],
"metadata": { "metadata": {

34
19.scientific-python.ipynb
View file

@ -261,7 +261,7 @@
"source": [ "source": [
"import numpy as np\n", "import numpy as np\n",
"print(np.array([1, 2, 3, 4, 5])) \n", "print(np.array([1, 2, 3, 4, 5])) \n",
"print(np.array([1, 2, 3, 4., 5])) # one float will make the entire array floats" "print(np.array([1, 2, 3, 4.0, 5])) # one float will make the entire array floats"
] ]
}, },
{ {
@ -712,7 +712,7 @@
}, },
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"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -747,7 +747,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 20, "execution_count": 4,
"id": "6037f4be-9df6-43a5-bc0e-28540fa9cea1", "id": "6037f4be-9df6-43a5-bc0e-28540fa9cea1",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -775,7 +775,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 21, "execution_count": 5,
"id": "19fea8cf-93ee-422b-b8c1-93f868c1a1f8", "id": "19fea8cf-93ee-422b-b8c1-93f868c1a1f8",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -801,7 +801,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 25, "execution_count": 6,
"id": "6aa5a845-a38f-41c0-8be4-a2a10c184511", "id": "6aa5a845-a38f-41c0-8be4-a2a10c184511",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -815,9 +815,9 @@
"│ --- ┆ --- │\n", "│ --- ┆ --- │\n",
"│ str ┆ f64 │\n", "│ str ┆ f64 │\n",
"╞════════════════╪═════════════════════╡\n", "╞════════════════╪═════════════════════╡\n",
"│ Pure Python ┆ 228.155336 │\n", "│ Pure Python ┆ 238.297975 │\n",
"│ Pandas ┆ 88.117557 │\n", "│ Pandas ┆ 86.9603 │\n",
"│ Polars ┆ 8.866674 │\n", "│ Polars ┆ 10.461535 │\n",
"└────────────────┴─────────────────────┘\n" "└────────────────┴─────────────────────┘\n"
] ]
} }
@ -836,7 +836,7 @@
" return timeit.timeit(lambda: func(*args), number=iterations) / iterations\n", " return timeit.timeit(lambda: func(*args), number=iterations) / iterations\n",
"\n", "\n",
"# time each function\n", "# time each function\n",
"ITERATIONS = 100\n", "ITERATIONS = 20\n",
"python_time = avg_time(find_bills_pure_python, BILLS_FILE, LEGISLATORS_FILE, SPONSORSHIPS_FILE, TARGET_NAME, iterations=ITERATIONS)\n", "python_time = avg_time(find_bills_pure_python, BILLS_FILE, LEGISLATORS_FILE, SPONSORSHIPS_FILE, TARGET_NAME, iterations=ITERATIONS)\n",
"pandas_time = avg_time(find_bills_pandas, BILLS_FILE, LEGISLATORS_FILE, SPONSORSHIPS_FILE, TARGET_NAME, iterations=ITERATIONS)\n", "pandas_time = avg_time(find_bills_pandas, BILLS_FILE, LEGISLATORS_FILE, SPONSORSHIPS_FILE, TARGET_NAME, iterations=ITERATIONS)\n",
"polars_time = avg_time(find_bills_polars, BILLS_FILE, LEGISLATORS_FILE, SPONSORSHIPS_FILE, TARGET_NAME, iterations=ITERATIONS)\n", "polars_time = avg_time(find_bills_polars, BILLS_FILE, LEGISLATORS_FILE, SPONSORSHIPS_FILE, TARGET_NAME, iterations=ITERATIONS)\n",
@ -852,7 +852,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 35, "execution_count": 7,
"id": "17c75df4-4d7b-45b5-be21-56fd80f81ff6", "id": "17c75df4-4d7b-45b5-be21-56fd80f81ff6",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -861,23 +861,23 @@
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"\n", "\n",
"<style>\n", "<style>\n",
" #altair-viz-8c673fa3f4124c978474f0b658f67ae4.vega-embed {\n", " #altair-viz-7b3877bef0154bc3afbd3485f825bc8f.vega-embed {\n",
" width: 100%;\n", " width: 100%;\n",
" display: flex;\n", " display: flex;\n",
" }\n", " }\n",
"\n", "\n",
" #altair-viz-8c673fa3f4124c978474f0b658f67ae4.vega-embed details,\n", " #altair-viz-7b3877bef0154bc3afbd3485f825bc8f.vega-embed details,\n",
" #altair-viz-8c673fa3f4124c978474f0b658f67ae4.vega-embed details summary {\n", " #altair-viz-7b3877bef0154bc3afbd3485f825bc8f.vega-embed details summary {\n",
" position: relative;\n", " position: relative;\n",
" }\n", " }\n",
"</style>\n", "</style>\n",
"<div id=\"altair-viz-8c673fa3f4124c978474f0b658f67ae4\"></div>\n", "<div id=\"altair-viz-7b3877bef0154bc3afbd3485f825bc8f\"></div>\n",
"<script type=\"text/javascript\">\n", "<script type=\"text/javascript\">\n",
" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n", " var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
" (function(spec, embedOpt){\n", " (function(spec, embedOpt){\n",
" let outputDiv = document.currentScript.previousElementSibling;\n", " let outputDiv = document.currentScript.previousElementSibling;\n",
" if (outputDiv.id !== \"altair-viz-8c673fa3f4124c978474f0b658f67ae4\") {\n", " if (outputDiv.id !== \"altair-viz-7b3877bef0154bc3afbd3485f825bc8f\") {\n",
" outputDiv = document.getElementById(\"altair-viz-8c673fa3f4124c978474f0b658f67ae4\");\n", " outputDiv = document.getElementById(\"altair-viz-7b3877bef0154bc3afbd3485f825bc8f\");\n",
" }\n", " }\n",
"\n", "\n",
" const paths = {\n", " const paths = {\n",
@ -925,7 +925,7 @@
" .catch(showError)\n", " .catch(showError)\n",
" .then(() => displayChart(vegaEmbed));\n", " .then(() => displayChart(vegaEmbed));\n",
" }\n", " }\n",
" })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-0348f4391cf620461bf4db7f4550641a\"}, \"mark\": {\"type\": \"bar\"}, \"encoding\": {\"color\": {\"field\": \"Implementation\", \"legend\": null, \"type\": \"nominal\"}, \"x\": {\"field\": \"Execution Time (ms)\", \"title\": \"Execution Time (ms)\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"Implementation\", \"sort\": null, \"type\": \"nominal\"}}, \"height\": 300, \"title\": {\"text\": \"Function Timing\", \"subtitle\": \"Averaged over 100 Runs - Lower is Better\"}, \"width\": 500, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.20.1.json\", \"datasets\": {\"data-0348f4391cf620461bf4db7f4550641a\": [{\"Implementation\": \"Pure Python\", \"Execution Time (ms)\": 228.1553362502018}, {\"Implementation\": \"Pandas\", \"Execution Time (ms)\": 88.11755665985402}, {\"Implementation\": \"Polars\", \"Execution Time (ms)\": 8.866673749871552}]}}, {\"mode\": \"vega-lite\"});\n", " })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-c85f1199b30bf7141927b86fd4883333\"}, \"mark\": {\"type\": \"bar\"}, \"encoding\": {\"color\": {\"field\": \"Implementation\", \"legend\": null, \"type\": \"nominal\"}, \"x\": {\"field\": \"Execution Time (ms)\", \"title\": \"Execution Time (ms)\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"Implementation\", \"sort\": null, \"type\": \"nominal\"}}, \"height\": 300, \"title\": {\"text\": \"Function Timing\", \"subtitle\": \"Averaged over 20 Runs - Lower is Better\"}, \"width\": 500, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.20.1.json\", \"datasets\": {\"data-c85f1199b30bf7141927b86fd4883333\": [{\"Implementation\": \"Pure Python\", \"Execution Time (ms)\": 238.29797500002314}, {\"Implementation\": \"Pandas\", \"Execution Time (ms)\": 86.96029999991879}, {\"Implementation\": \"Polars\", \"Execution Time (ms)\": 10.46153540009982}]}}, {\"mode\": \"vega-lite\"});\n",
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