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[lab-string-operations] Alvaro Gracio #217

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101 changes: 84 additions & 17 deletions your-code/challenge-1.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,11 @@
"outputs": [],
"source": [
"str_list = ['Durante', 'un', 'tiempo', 'no', 'estuvo', 'segura', 'de', 'si', 'su', 'marido', 'era', 'su', 'marido']\n",
"# Your code here:\n"
"# Your code here:\n",
"\n",
"result = ' '.join(str_list[:-1]) + str_list[-1] + '.'\n",
"\n",
"print(result)\n"
]
},
{
Expand All @@ -55,7 +59,11 @@
"outputs": [],
"source": [
"food_list = ['Bananas', 'Chocolate', 'bread', 'diapers', 'Ice Cream', 'Brownie Mix', 'broccoli']\n",
"# Your code here:\n"
"# Your code here:\n",
"grocery_list = \"Grocery list: \"\n",
"grocery_list += \", \".join([food.lower() for food in food_list if food.lower().startswith('b')])\n",
"grocery_list += \".\"\n",
"print(grocery_list)"
]
},
{
Expand All @@ -69,9 +77,17 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The area of the circle with radius: 4.5 is: 63.61725123519331\n"
]
}
],
"source": [
"import math\n",
"\n",
Expand All @@ -90,7 +106,9 @@
" # Your code here:\n",
" return pi * (x**2)\n",
" \n",
"# Your output string here:\n"
"# Your output string here:\n",
"output_string = f\"{string1} {radius} {string2} {area(radius)}\"\n",
"print(output_string)\n"
]
},
{
Expand All @@ -106,9 +124,17 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'Some': 2, 'say': 3, 'the': 1, 'world': 1, 'will': 1, 'end': 1, 'in': 2, 'fire': 2, 'ice': 2, 'From': 1, 'what': 1, 'I’ve': 1, 'tasted': 1, 'of': 2, 'desire': 1, 'I': 3, 'hold': 1, 'with': 1, 'those': 1, 'who': 1, 'favor': 1, 'But': 1, 'if': 1, 'it': 1, 'had': 1, 'to': 1, 'perish': 1, 'twice': 1, 'think': 1, 'know': 1, 'enough': 1, 'hate': 1, 'To': 1, 'that': 1, 'for': 1, 'destruction': 1, 'Is': 1, 'also': 1, 'great': 1, 'And': 1, 'would': 1, 'suffice': 1}\n"
]
}
],
"source": [
"poem = \"\"\"Some say the world will end in fire,\n",
"Some say in ice.\n",
Expand All @@ -120,7 +146,19 @@
"Is also great\n",
"And would suffice.\"\"\"\n",
"\n",
"# Your code here:\n"
"\n",
"\n",
"\n",
"# Your code here:\n",
"words = poem.split()\n",
"words = [word.strip('. ,\\n') for word in words]\n",
"\n",
"word_freq = {}\n",
"for word in words:\n",
" if word:\n",
" word_freq[word] = word_freq.get(word, 0) + 1\n",
"\n",
"print(word_freq)"
]
},
{
Expand Down Expand Up @@ -158,7 +196,14 @@
"In the morning glad I see; \n",
"My foe outstretched beneath the tree.\"\"\"\n",
"\n",
"# Your code here:\n"
"# Your code here:\n",
"poem = poem.lower()\n",
"poem = poem.split()\n",
"\n",
"\n",
"poem = [word.strip('\\n') for word in poem]\n",
"\n",
"print(poem)"
]
},
{
Expand All @@ -172,16 +217,27 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['T', 'P']\n"
]
}
],
"source": [
"import re\n",
"\n",
"poem = \"\"\"The apparition of these faces in the crowd;\n",
"Petals on a wet, black bough.\"\"\"\n",
"\n",
"# Your code here:\n"
"# Your code here:\n",
"uppercase = re.findall(r'[A-Z]', poem)\n",
"\n",
"print(uppercase)\n"
]
},
{
Expand All @@ -193,13 +249,24 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['123abc', 'abc123', 'JohnSmith1', 'ABBY4']\n"
]
}
],
"source": [
"data = ['123abc', 'abc123', 'JohnSmith1', 'ABBY4', 'JANE']\n",
"\n",
"# Your code here:\n"
"# Your code here:\n",
"result = [s for s in data if re.search(r'\\d', s) is not None]\n",
"\n",
"print(result)"
]
},
{
Expand All @@ -226,7 +293,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -240,7 +307,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.9.13"
}
},
"nbformat": 4,
Expand Down
109 changes: 88 additions & 21 deletions your-code/challenge-2.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -88,11 +88,18 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Write your code here\n"
"# Write your code here\n",
"\n",
"corpus = []\n",
"\n",
"for doc in docs:\n",
" with open(doc, 'r') as i:\n",
" content = i.read()\n",
" corpus.append(content)"
]
},
{
Expand All @@ -104,10 +111,23 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"data": {
"text/plain": [
"['Ironhack is cool.', 'I love Ironhack.', 'I am a student at Ironhack.']"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"corpus"
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -148,10 +168,12 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": []
"source": [
"bag_of_words = []"
]
},
{
"cell_type": "markdown",
Expand All @@ -166,11 +188,28 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Ironhack', 'is', 'cool.', 'I', 'love', 'Ironhack.', 'am', 'a', 'student', 'at']\n"
]
}
],
"source": [
"# Write your code here\n"
"# Write your code here\n",
"bag_of_words = []\n",
"\n",
"for document in corpus:\n",
" terms = document.split()\n",
" for term in terms:\n",
" if term not in bag_of_words:\n",
" bag_of_words.append(term)\n",
" \n",
"print(bag_of_words)"
]
},
{
Expand All @@ -186,10 +225,20 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['ironhack', 'is', 'cool.', 'i', 'love', 'ironhack.', 'am', 'a', 'student', 'at']\n"
]
}
],
"source": [
"print([l.lower() for l in bag_of_words])\n"
]
},
{
"cell_type": "markdown",
Expand All @@ -200,11 +249,19 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"# Write your code here\n"
"# Write your code here\n",
"term_freq = []\n",
"\n",
"for doc in corpus:\n",
" doc_freq = {}\n",
" for term in bag_of_words:\n",
" freq = doc.count(term)\n",
" doc_freq[term] = freq\n",
" term_freq.append(doc_freq)\n"
]
},
{
Expand All @@ -218,10 +275,20 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[{'Ironhack': 1, 'is': 1, 'cool.': 1, 'I': 1, 'love': 0, 'Ironhack.': 0, 'am': 0, 'a': 1, 'student': 0, 'at': 0}, {'Ironhack': 1, 'is': 0, 'cool.': 0, 'I': 2, 'love': 1, 'Ironhack.': 1, 'am': 0, 'a': 1, 'student': 0, 'at': 0}, {'Ironhack': 1, 'is': 0, 'cool.': 0, 'I': 2, 'love': 0, 'Ironhack.': 1, 'am': 1, 'a': 4, 'student': 1, 'at': 1}]\n"
]
}
],
"source": [
"print (term_freq)"
]
},
{
"cell_type": "markdown",
Expand Down Expand Up @@ -304,7 +371,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -318,7 +385,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.9.13"
}
},
"nbformat": 4,
Expand Down