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Jupyter Notebook

创建、整理和改造 Jupyter Notebook,用于实验记录、教程和可复现分析。

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assets/experiment-template.ipynb

2.5 KB
1{
2 "cells": [
3 {
4 "cell_type": "markdown",
5 "metadata": {},
6 "source": [
7 "# Experiment: TITLE\n",
8 "\n",
9 "Objective:\n",
10 "- State the question you want to answer.\n",
11 "- Define the success criteria.\n"
12 ]
13 },
14 {
15 "cell_type": "code",
16 "execution_count": null,
17 "metadata": {},
18 "outputs": [],
19 "source": [
20 "# Setup: imports and reproducibility\n",
21 "from __future__ import annotations\n",
22 "\n",
23 "import random\n",
24 "import statistics\n",
25 "\n",
26 "SEED = 7\n",
27 "random.seed(SEED)\n",
28 "SEED\n"
29 ]
30 },
31 {
32 "cell_type": "markdown",
33 "metadata": {},
34 "source": [
35 "## Plan\n",
36 "\n",
37 "- Hypothesis:\n",
38 "- Variables to sweep:\n",
39 "- Metrics to record:\n"
40 ]
41 },
42 {
43 "cell_type": "code",
44 "execution_count": null,
45 "metadata": {},
46 "outputs": [],
47 "source": [
48 "# Define parameters and lightweight helpers\n",
49 "sample_size = 20\n",
50 "values = [random.random() for _ in range(sample_size)]\n",
51 "summary = {\n",
52 " \"count\": len(values),\n",
53 " \"mean\": statistics.fmean(values),\n",
54 " \"min\": min(values),\n",
55 " \"max\": max(values),\n",
56 "}\n",
57 "summary\n"
58 ]
59 },
60 {
61 "cell_type": "markdown",
62 "metadata": {},
63 "source": [
64 "## Results\n",
65 "\n",
66 "- Key observations:\n",
67 "- Surprises or failure modes:\n",
68 "- Decision: continue, pivot, or stop:\n"
69 ]
70 },
71 {
72 "cell_type": "code",
73 "execution_count": null,
74 "metadata": {},
75 "outputs": [],
76 "source": [
77 "# Record findings in a minimal, copy-pasteable structure\n",
78 "result = {\n",
79 " \"seed\": SEED,\n",
80 " \"mean\": summary[\"mean\"],\n",
81 " \"range\": summary[\"max\"] - summary[\"min\"],\n",
82 "}\n",
83 "result\n"
84 ]
85 },
86 {
87 "cell_type": "markdown",
88 "metadata": {},
89 "source": [
90 "## Next steps\n",
91 "\n",
92 "- What to try next:\n",
93 "- What to document elsewhere (PRD, notes, issue):\n"
94 ]
95 }
96 ],
97 "metadata": {
98 "kernelspec": {
99 "display_name": "Python 3",
100 "language": "python",
101 "name": "python3"
102 },
103 "language_info": {
104 "name": "python",
105 "version": "3.12"
106 }
107 },
108 "nbformat": 4,
109 "nbformat_minor": 5
110}

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