Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
590 changes: 590 additions & 0 deletions Lab.Week1.ipynb

Large diffs are not rendered by default.

346 changes: 346 additions & 0 deletions Lab1_Week3.ipynb
Original file line number Diff line number Diff line change
@@ -0,0 +1,346 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"id": "4e7dda1b-c83b-4286-a2fc-81057cb0890a",
"metadata": {},
"outputs": [],
"source": [
"from functools import reduce\n",
"import numpy\n",
"import pandas"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "848e37d7-459c-484e-92b6-4c11b0e8d417",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Número de palabras: 13694\n"
]
}
],
"source": [
"import urllib.request\n",
"\n",
"url = \"https://www.gutenberg.org/cache/epub/58585/pg58585.txt\"\n",
"response = urllib.request.urlopen(url)\n",
"prophet = response.read().decode(\"utf8\").split(\" \")\n",
"\n",
"print(\"Número de palabras:\", len(prophet))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "c55c6688-4e11-442f-a4dc-818c831f7573",
"metadata": {},
"outputs": [],
"source": [
"prophet = prophet[568:]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "3c815a30-0959-4d2f-97bc-0bd9b8f67ff5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['was',\n",
" 'to\\r\\nreturn',\n",
" 'and',\n",
" 'bear',\n",
" 'him',\n",
" 'back',\n",
" 'to',\n",
" 'the',\n",
" 'isle',\n",
" 'of\\r\\nhis']"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prophet[:10]"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "66466b48-d2de-44fe-9bc2-6d64e4375f7b",
"metadata": {},
"outputs": [],
"source": [
"def reference(x):\n",
" '''\n",
" Input: A string\n",
" Output: The string with references removed\n",
" \n",
" Example:\n",
" Input: 'the{7}'\n",
" Output: 'the'\n",
" '''\n",
" parts = x.split('{')\n",
" return parts[0]\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "dc2b5a05-960b-417d-b0b0-191ae434a210",
"metadata": {},
"outputs": [],
"source": [
"prophet_reference = list(map(reference,prophet))"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "5c1f09b5-e94e-486a-baf8-9519ecf5eee0",
"metadata": {},
"outputs": [],
"source": [
"def line_break(x):\n",
" '''\n",
" Input: A string\n",
" Output: A list of strings split on the line break (\\n) character\n",
" \n",
" Example:\n",
" Input: 'the\\nbeloved'\n",
" Output: ['the', 'beloved']\n",
" '''\n",
" return x.split('\\n')"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "09542ab4-5faa-4890-87b8-f5445cc6aecc",
"metadata": {},
"outputs": [],
"source": [
"prophet_line = list(map(line_break, prophet_reference))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "17233c76-fd30-42ba-a857-737775ac030c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['was',\n",
" 'to\\r',\n",
" 'return',\n",
" 'and',\n",
" 'bear',\n",
" 'him',\n",
" 'back',\n",
" 'to',\n",
" 'the',\n",
" 'isle',\n",
" 'of\\r',\n",
" 'his',\n",
" 'birth.\\r',\n",
" '\\r',\n",
" 'And',\n",
" 'in',\n",
" 'the',\n",
" 'twelfth',\n",
" 'year,',\n",
" 'on']"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prophet_flat = [i for sub in prophet_line for i in sub]\n",
"prophet_flat[:20]"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "e650e1dc-e47d-495d-9d34-a0bbc4110a09",
"metadata": {},
"outputs": [],
"source": [
"# Exercise 2 \n",
"def word_filter(x):\n",
" '''\n",
" Input: A string\n",
" Output: True if the word is not in the specified list \n",
" and False if the word is in the list.\n",
" '''\n",
" \n",
" word_list = ['and', 'the', 'a', 'an']\n",
" \n",
" if x in word_list:\n",
" return False\n",
" else:\n",
" return True\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "72c4649f-be1a-4791-8af0-4805031f76b2",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['was',\n",
" 'to\\r',\n",
" 'return',\n",
" 'bear',\n",
" 'him',\n",
" 'back',\n",
" 'to',\n",
" 'isle',\n",
" 'of\\r',\n",
" 'his',\n",
" 'birth.\\r',\n",
" '\\r',\n",
" 'And',\n",
" 'in',\n",
" 'twelfth',\n",
" 'year,',\n",
" 'on',\n",
" 'seventh\\r',\n",
" 'day',\n",
" 'of']"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prophet_filter = list(filter(word_filter, prophet_flat))\n",
"\n",
"prophet_filter[:20]"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "693b6490-51a7-4d9d-b7d3-340d875bf861",
"metadata": {},
"outputs": [],
"source": [
"def word_filter_case(x):\n",
" '''\n",
" Same as word_filter, but ignores case.\n",
" '''\n",
" \n",
" word_list = ['and', 'the', 'a', 'an']\n",
" \n",
" if x.lower() in word_list:\n",
" return False\n",
" else:\n",
" return True"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "173ccad8-3ad3-4b91-9c5e-f34a50e06d88",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['was',\n",
" 'to\\r',\n",
" 'return',\n",
" 'bear',\n",
" 'him',\n",
" 'back',\n",
" 'to',\n",
" 'isle',\n",
" 'of\\r',\n",
" 'his',\n",
" 'birth.\\r',\n",
" '\\r',\n",
" 'in',\n",
" 'twelfth',\n",
" 'year,',\n",
" 'on',\n",
" 'seventh\\r',\n",
" 'day',\n",
" 'of',\n",
" 'Ielool,']"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prophet_filter_case = list(filter(word_filter_case, prophet_flat))\n",
"prophet_filter_case[:20]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4620572b-6a9d-469d-b160-2c9eb2d93884",
"metadata": {},
"outputs": [],
"source": [
"def concat_space(a, b):\n",
" '''\n",
" Input: Two strings\n",
" Output: A single string separated by a space\n",
" \n",
" Example:\n",
" Input: 'John', 'Smith'\n",
" Output: 'John Smith'\n",
" '''\n",
" return a + ' ' + b"
]
}
],
"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": "3.13.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Loading