init version

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.ipynb merge=nbdev-merge

app.py

@@ -1,7 +0,0 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

lesson04/.github/workflows/deploy.yaml

@@ -0,0 +1,14 @@
+name: Deploy to GitHub Pages
+
+permissions:
+  contents: write
+  pages: write
+
+on:
+  push:
+    branches: [ "main", "master" ]
+  workflow_dispatch:
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps: [uses: fastai/workflows/quarto-ghp@master]

lesson04/.github/workflows/test.yaml

@@ -0,0 +1,7 @@
+name: CI
+on:  [workflow_dispatch, pull_request, push]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps: [uses: fastai/workflows/nbdev-ci@master]

lesson04/.gitignore

@@ -0,0 +1,151 @@
+_docs/
+_proc/
+
+*.bak
+.gitattributes
+.last_checked
+.gitconfig
+*.bak
+*.log
+*~
+~*
+_tmp*
+tmp*
+tags
+*.pkg
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# dotenv
+.env
+
+# virtualenv
+.venv
+venv/
+ENV/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+
+.vscode
+*.swp
+
+# osx generated files
+.DS_Store
+.DS_Store?
+.Trashes
+ehthumbs.db
+Thumbs.db
+.idea
+
+# pytest
+.pytest_cache
+
+# tools/trust-doc-nbs
+docs_src/.last_checked
+
+# symlinks to fastai
+docs_src/fastai
+tools/fastai
+
+# link checker
+checklink/cookies.txt
+
+# .gitconfig is now autogenerated
+.gitconfig
+
+# Quarto installer
+.deb
+.pkg
+
+# Quarto
+.quarto

lesson04/LICENSE

@@ -0,0 +1,201 @@
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+                        http://www.apache.org/licenses/
+
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+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
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lesson04/MANIFEST.in

@@ -0,0 +1,5 @@
+include settings.ini
+include LICENSE
+include CONTRIBUTING.md
+include README.md
+recursive-exclude * __pycache__

lesson04/README.md

@@ -0,0 +1,23 @@
+fastai-learning
+================
+
+<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
+
+This file will become your README and also the index of your
+documentation.
+
+## Install
+
+``` sh
+pip install fastai_learning
+```
+
+## How to use
+
+Fill me in please! Don’t forget code examples:
+
+``` python
+1+1
+```
+
+    2

lesson04/fastai_learning/__init__.py

@@ -0,0 +1 @@
+__version__ = "0.0.1"

lesson04/fastai_learning/_modidx.py

@@ -0,0 +1,20 @@
+# Autogenerated by nbdev
+
+d = { 'settings': { 'branch': 'main',
+                'doc_baseurl': '/fastai-learning',
+                'doc_host': 'https://ItchyB.github.io',
+                'git_url': 'https://github.com/ItchyB/fastai-learning',
+                'lib_path': 'fastai_learning'},
+  'syms': { 'fastai_learning.card': { 'fastai_learning.card.Card': ('card.html#card', 'fastai_learning/card.py'),
+                                      'fastai_learning.card.Card.__eq__': ('card.html#card.__eq__', 'fastai_learning/card.py'),
+                                      'fastai_learning.card.Card.__gt__': ('card.html#card.__gt__', 'fastai_learning/card.py'),
+                                      'fastai_learning.card.Card.__init__': ('card.html#card.__init__', 'fastai_learning/card.py'),
+                                      'fastai_learning.card.Card.__lt__': ('card.html#card.__lt__', 'fastai_learning/card.py'),
+                                      'fastai_learning.card.Card.__str__': ('card.html#card.__str__', 'fastai_learning/card.py')},
+            'fastai_learning.core': {'fastai_learning.core.foo': ('core.html#foo', 'fastai_learning/core.py')},
+            'fastai_learning.deck': { 'fastai_learning.deck.Deck': ('deck.html#deck', 'fastai_learning/deck.py'),
+                                      'fastai_learning.deck.Deck.__contains__': ('deck.html#deck.__contains__', 'fastai_learning/deck.py'),
+                                      'fastai_learning.deck.Deck.__init__': ('deck.html#deck.__init__', 'fastai_learning/deck.py'),
+                                      'fastai_learning.deck.Deck.__len__': ('deck.html#deck.__len__', 'fastai_learning/deck.py'),
+                                      'fastai_learning.deck.Deck.__str__': ('deck.html#deck.__str__', 'fastai_learning/deck.py'),
+                                      'fastai_learning.deck.Deck.pop': ('deck.html#deck.pop', 'fastai_learning/deck.py')}}}

lesson04/fastai_learning/card.py

@@ -0,0 +1,41 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/card.ipynb.
+
+# %% auto 0
+__all__ = ['suits', 'ranks', 'Card']
+
+# %% ../nbs/card.ipynb 3
+from fastcore.test import *
+from fastcore.utils import *
+from . import *
+
+# %% ../nbs/card.ipynb 5
+suits = ["♦️", "♣️", "♥️", "♣️"]
+ranks = [None, "A"] + [str(x) for x in range(2, 11)] + ["J", "Q", "K"]
+
+# %% ../nbs/card.ipynb 11
+class Card:
+    def __init__(
+        self, suit: int, rank: int  # An index to the `suits`  # An index to the `ranks`
+    ):
+        self.suit = suit
+        self.rank = rank
+
+    def __str__(self):
+        return f"{ranks[self.rank]}{suits[self.suit]}"
+
+    __repr__ = __str__
+
+# %% ../nbs/card.ipynb 16
+@patch
+def __eq__(self: Card, other: Card):
+    return (self.suit, self.rank) == (other.suit, other.rank)
+
+# %% ../nbs/card.ipynb 17
+@patch
+def __lt__(self: Card, other: Card):
+    return (self.suit, self.rank) < (other.suit, other.rank)
+
+# %% ../nbs/card.ipynb 18
+@patch
+def __gt__(self: Card, other: Card):
+    return (self.suit, self.rank) > (other.suit, other.rank)

lesson04/fastai_learning/core.py

@@ -0,0 +1,8 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/00_core.ipynb.
+
+# %% auto 0
+__all__ = ['foo']
+
+# %% ../nbs/00_core.ipynb 3
+def foo():
+    pass

lesson04/fastai_learning/deck.py

@@ -0,0 +1,31 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/deck.ipynb.
+
+# %% auto 0
+__all__ = ['Deck']
+
+# %% ../nbs/deck.ipynb 3
+from .card import *
+from fastcore.test import *
+from fastcore.utils import *
+
+# %% ../nbs/deck.ipynb 4
+class Deck:
+    def __init__(self):
+        self.cards = [Card(suit, rank) for suit in range(4) for rank in range(1, 14)]
+
+    def __str__(self):
+        return "|".join([str(card) for card in self.cards])
+
+    def __len__(self):
+        return len(self.cards)
+
+    def __contains__(self, card):
+        return card in self.cards
+
+    __repr__ = __str__
+
+# %% ../nbs/deck.ipynb 10
+@patch
+def pop(self: Deck, idx: int = -1):  # index of card to remove, default to last card
+    """Remove one card from the deck"""
+    return self.cards.pop(idx)

lesson04/nbs/00_core.ipynb

@@ -0,0 +1,58 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# core\n",
+    "\n",
+    "> Fill in a module description here"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| default_exp core"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "from nbdev.showdoc import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "import nbdev; nbdev.nbdev_export()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "python3",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

lesson04/nbs/_quarto.yml

@@ -0,0 +1,20 @@
+project:
+  type: website
+
+format:
+  html:
+    theme: cosmo
+    css: styles.css
+    toc: true
+
+website:
+  twitter-card: true
+  open-graph: true
+  repo-actions: [issue]
+  navbar:
+    background: primary
+    search: true
+  sidebar:
+    style: floating
+
+metadata-files: [nbdev.yml, sidebar.yml]

lesson04/nbs/card.ipynb

@@ -0,0 +1,361 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| default_exp card"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Card\n",
+    "> A playing card contains a rank and a suit."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "from nbdev.showdoc import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "from fastcore.test import *\n",
+    "from fastcore.utils import *\n",
+    "from fastai_learning import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We will be using numbers to represent playing cards and ranks. These are the suits:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "suits = ['♦️', '♣️', '♥️', '♣️']\n",
+    "ranks = [None, \"A\"] + [str(x) for x in range(2, 11)] + [\"J\", \"Q\", \"K\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "['♦️', '♣️', '♥️', '♣️']"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "suits"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For instance, the suit at index `0`\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "'♦️'"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "suits[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "These are the ranks at index `1` (note that there isn't a playing card at position `0`, since we want the ranks to match the indices where possible):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "'A'"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ranks[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "class Card:\n",
+    "    def __init__(\n",
+    "            self,\n",
+    "            suit: int, # An index to the `suits`\n",
+    "            rank: int  # An index to the `ranks`\n",
+    "    ):\n",
+    "        self.suit = suit\n",
+    "        self.rank = rank\n",
+    "\n",
+    "    def __str__(self):\n",
+    "        return f\"{ranks[self.rank]}{suits[self.suit]}\"\n",
+    "\n",
+    "    __repr__ = __str__\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c = Card(suit=1, rank=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "3♣️"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3♣️\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(c)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": "---\n\n### Card\n\n>      Card (suit:int, rank:int)\n\nInitialize self.  See help(type(self)) for accurate signature.\n\n|    | **Type** | **Details** |\n| -- | -------- | ----------- |\n| suit | int | An index to the `suits` |\n| rank | int | An index to the `ranks` |",
+      "text/plain": "---\n\n### Card\n\n>      Card (suit:int, rank:int)\n\nInitialize self.  See help(type(self)) for accurate signature.\n\n|    | **Type** | **Details** |\n| -- | -------- | ----------- |\n| suit | int | An index to the `suits` |\n| rank | int | An index to the `ranks` |"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "show_doc(Card)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "@patch\n",
+    "def __eq__(self: Card, other: Card):\n",
+    "    return (self.suit, self.rank) == (other.suit, other.rank)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "@patch\n",
+    "def __lt__(self: Card, other: Card):\n",
+    "    return (self.suit, self.rank) < (other.suit, other.rank)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "@patch\n",
+    "def __gt__(self: Card, other: Card):\n",
+    "    return (self.suit, self.rank) > (other.suit, other.rank)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "test_eq(Card(suit=1, rank=3), Card(suit=1, rank=3))\n",
+    "test_ne(Card(suit=1, rank=2), Card(suit=1, rank=3))\n",
+    "assert Card(suit=3, rank=2) > (Card(suit=1, rank=3))\n",
+    "assert not Card(suit=1, rank=3) > (Card(suit=2, rank=3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_eq(Card(suit=1, rank=3), Card(suit=1, rank=3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "True"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Card(suit=1, rank=3) == Card(suit=1, rank=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "3♣️"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "True"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c == c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "True"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c == Card(suit=1, rank=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "python3",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

lesson04/nbs/deck.ipynb

@@ -0,0 +1,197 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| default_exp deck"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Deck\n",
+    "> A deck of cards"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "from nbdev.showdoc import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "from fastai_learning.card import *\n",
+    "from fastcore.test import *\n",
+    "from fastcore.utils import *\n",
+    "from random import random"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#|export\n",
+    "class Deck:\n",
+    "    def __init__(self):\n",
+    "        self.cards = [Card(suit, rank) for suit in range(4) for rank in range(1, 14)]\n",
+    "    def __str__(self):\n",
+    "        return '|'.join([str(card) for card in self.cards])\n",
+    "    def __len__(self):\n",
+    "        return len(self.cards)\n",
+    "    def __contains__(self, card):\n",
+    "        return card in self.cards\n",
+    "    __repr__ = __str__\n",
+    "    def shuffle(self):\n",
+    "        \"\"\"shuffles the cards in this deck\"\"\"\n",
+    "        random.shuffle(self.cards)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As a reminder, these are the ranks and suits:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "['♦️', '♣️', '♥️', '♣️']"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "suits"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "deck = Deck()\n",
+    "test_eq(len(deck), 52)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "True"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Card(2, 2) in deck"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2♥️\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(Card(2, 2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| export\n",
+    "@patch\n",
+    "def pop(\n",
+    "        self: Deck,\n",
+    "        idx: int = -1 # index of card to remove, default to last card\n",
+    "):\n",
+    "    \"\"\"Remove one card from the deck\"\"\"\n",
+    "    return self.cards.pop(idx)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "deck = Deck()\n",
+    "test_eq(deck.pop(), Card(3, 13))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": "---\n\n### Deck.shuffle\n\n>      Deck.shuffle ()\n\nshuffles the cards in this deck",
+      "text/plain": "---\n\n### Deck.shuffle\n\n>      Deck.shuffle ()\n\nshuffles the cards in this deck"
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "show_doc(Deck.shuffle)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "python3",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

lesson04/nbs/index.ipynb

@@ -0,0 +1,96 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "from fastai_learning.core import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# fastai-learning\n",
+    "\n",
+    "> Lesson04 Practical Deep Learning"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This file will become your README and also the index of your documentation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Install"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "```sh\n",
+    "pip install fastai_learning\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How to use"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Fill me in please! Don't forget code examples:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "1+1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "python3",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

lesson04/nbs/nbdev.yml

@@ -0,0 +1,9 @@
+project:
+  output-dir: _docs
+
+website:
+  title: "fastai-learning"
+  site-url: "https://ItchyB.github.io/fastai-learning"
+  description: "Lesson04 Practical Deep Learning"
+  repo-branch: main
+  repo-url: "https://github.com/ItchyB/fastai-learning"

lesson04/nbs/sidebar.yml

@@ -0,0 +1,7 @@
+website:
+  sidebar:
+    contents:
+      - index.ipynb
+      - 00_core.ipynb
+      - card.ipynb
+      - deck.ipynb

lesson04/nbs/styles.css

@@ -0,0 +1,37 @@
+.cell {
+  margin-bottom: 1rem;
+}
+
+.cell > .sourceCode {
+  margin-bottom: 0;
+}
+
+.cell-output > pre {
+  margin-bottom: 0;
+}
+
+.cell-output > pre, .cell-output > .sourceCode > pre, .cell-output-stdout > pre {
+  margin-left: 0.8rem;
+  margin-top: 0;
+  background: none;
+  border-left: 2px solid lightsalmon;
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+}
+
+.cell-output > .sourceCode {
+  border: none;
+}
+
+.cell-output > .sourceCode {
+  background: none;
+  margin-top: 0;
+}
+
+div.description {
+  padding-left: 2px;
+  padding-top: 5px;
+  font-style: italic;
+  font-size: 135%;
+  opacity: 70%;
+}

lesson04/settings.ini

@@ -0,0 +1,43 @@
+[DEFAULT]
+# All sections below are required unless otherwise specified.
+# See https://github.com/fastai/nbdev/blob/master/settings.ini for examples.
+
+### Python library ###
+repo = fastai-learning
+lib_name = %(repo)s
+version = 0.0.1
+min_python = 3.9
+license = apache2
+black_formatting = True
+
+### nbdev ###
+doc_path = _docs
+lib_path = fastai_learning
+nbs_path = nbs
+recursive = True
+tst_flags = notest
+put_version_in_init = True
+
+### Docs ###
+branch = main
+custom_sidebar = False
+doc_host = https://%(user)s.github.io
+doc_baseurl = /%(repo)s
+git_url = https://github.com/%(user)s/%(repo)s
+title = %(lib_name)s
+
+### PyPI ###
+audience = Developers
+author = Byron Wright
+author_email = bslayerw@gmail.com
+copyright = 2023 onwards, %(author)s
+description = Lesson04 Practical Deep Learning
+keywords = nbdev jupyter notebook python
+language = English
+status = 3
+user = ItchyB
+
+### Optional ###
+requirements = fastcore pandas fastai
+# dev_requirements = 
+# console_scripts =

lesson04/setup.py

@@ -0,0 +1,57 @@
+from pkg_resources import parse_version
+from configparser import ConfigParser
+import setuptools, shlex
+assert parse_version(setuptools.__version__)>=parse_version('36.2')
+
+# note: all settings are in settings.ini; edit there, not here
+config = ConfigParser(delimiters=['='])
+config.read('settings.ini')
+cfg = config['DEFAULT']
+
+cfg_keys = 'version description keywords author author_email'.split()
+expected = cfg_keys + "lib_name user branch license status min_python audience language".split()
+for o in expected: assert o in cfg, "missing expected setting: {}".format(o)
+setup_cfg = {o:cfg[o] for o in cfg_keys}
+
+licenses = {
+    'apache2': ('Apache Software License 2.0','OSI Approved :: Apache Software License'),
+    'mit': ('MIT License', 'OSI Approved :: MIT License'),
+    'gpl2': ('GNU General Public License v2', 'OSI Approved :: GNU General Public License v2 (GPLv2)'),
+    'gpl3': ('GNU General Public License v3', 'OSI Approved :: GNU General Public License v3 (GPLv3)'),
+    'bsd3': ('BSD License', 'OSI Approved :: BSD License'),
+}
+statuses = [ '1 - Planning', '2 - Pre-Alpha', '3 - Alpha',
+    '4 - Beta', '5 - Production/Stable', '6 - Mature', '7 - Inactive' ]
+py_versions = '3.6 3.7 3.8 3.9 3.10'.split()
+
+requirements = shlex.split(cfg.get('requirements', ''))
+if cfg.get('pip_requirements'): requirements += shlex.split(cfg.get('pip_requirements', ''))
+min_python = cfg['min_python']
+lic = licenses.get(cfg['license'].lower(), (cfg['license'], None))
+dev_requirements = (cfg.get('dev_requirements') or '').split()
+
+setuptools.setup(
+    name = cfg['lib_name'],
+    license = lic[0],
+    classifiers = [
+        'Development Status :: ' + statuses[int(cfg['status'])],
+        'Intended Audience :: ' + cfg['audience'].title(),
+        'Natural Language :: ' + cfg['language'].title(),
+    ] + ['Programming Language :: Python :: '+o for o in py_versions[py_versions.index(min_python):]] + (['License :: ' + lic[1] ] if lic[1] else []),
+    url = cfg['git_url'],
+    packages = setuptools.find_packages(),
+    include_package_data = True,
+    install_requires = requirements,
+    extras_require={ 'dev': dev_requirements },
+    dependency_links = cfg.get('dep_links','').split(),
+    python_requires  = '>=' + cfg['min_python'],
+    long_description = open('README.md').read(),
+    long_description_content_type = 'text/markdown',
+    zip_safe = False,
+    entry_points = {
+        'console_scripts': cfg.get('console_scripts','').split(),
+        'nbdev': [f'{cfg.get("lib_path")}={cfg.get("lib_path")}._modidx:d']
+    },
+    **setup_cfg)
+
+