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Python Challenges by cpoles #5

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85745d6
Finished Challenge_01
cpoles Jan 11, 2021
7263b66
Finished Challenge_02
cpoles Jan 11, 2021
e99f3f6
Finished Challenge_03
cpoles Jan 11, 2021
7496b89
Finished Challenge_04
cpoles Jan 11, 2021
709a9fc
Finished Challenge_05. + Docstrings to functions
cpoles Jan 12, 2021
ce8a400
Finished Challenge_06
cpoles Jan 12, 2021
106cff5
Finished Challenge_07
cpoles Jan 12, 2021
13fdc2c
Finished Challenge_08
cpoles Jan 12, 2021
50860a5
Finished Challenge_09
cpoles Jan 12, 2021
03687b6
Finished Challenge_11
cpoles Jan 12, 2021
5c6a7b8
Finished All Challenges
cpoles Jan 12, 2021
b51cb4d
Removed unecessary imported library string
cpoles Jan 13, 2021
7528916
Added solution using sets
cpoles Jan 13, 2021
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51 changes: 46 additions & 5 deletions Desafio_01.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.7"
"version": "3.7.9-final"
},
"colab": {
"name": "Desafio 1.ipynb",
Expand Down Expand Up @@ -67,7 +67,7 @@
"\n",
"# Seu código"
],
"execution_count": 0,
"execution_count": 22,
"outputs": []
},
{
Expand All @@ -78,10 +78,51 @@
"colab": {}
},
"source": [
""
"# import necessary libraries\n",
"import numpy as np\n",
"from operator import itemgetter\n",
"\n",
"# get unique values and its frequencies\n",
"words, frequencies = np.unique(palavras, return_counts=True)"
],
"execution_count": 0,
"execution_count": 23,
"outputs": []
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"# zip words and frequencies for iteration\n",
"stats = list(zip(words, frequencies))"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Word: black\tFrequency: 5\nWord: eyes\tFrequency: 1\nWord: green\tFrequency: 4\nWord: orange\tFrequency: 4\nWord: pink\tFrequency: 6\nWord: red\tFrequency: 4\nWord: white\tFrequency: 5\n"
]
}
],
"source": [
"# print the word and its frequency\n",
"for stat in stats:\n",
" print(f'Word: {itemgetter(0)(stat)}\\tFrequency: {itemgetter(1)(stat)}')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
]
}
}
78 changes: 73 additions & 5 deletions Desafio_02.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
"version": "3.7.9-final"
},
"colab": {
"name": "Desafio 2.ipynb",
Expand Down Expand Up @@ -65,11 +65,79 @@
"colab": {}
},
"source": [
"def convert_to_sec(number):\n",
" pass # Seu código"
"def convert_to_sec(hours):\n",
" '''Converts hours to seconds'''\n",
" return hours * 60 * 60"
],
"execution_count": 0,
"execution_count": 1,
"outputs": []
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"18000"
]
},
"metadata": {},
"execution_count": 2
}
],
"source": [
"convert_to_sec(5)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"10800"
]
},
"metadata": {},
"execution_count": 3
}
],
"source": [
"convert_to_sec(3)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"7200"
]
},
"metadata": {},
"execution_count": 4
}
],
"source": [
"convert_to_sec(2)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
]
}
}
41 changes: 36 additions & 5 deletions Desafio_03.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
"version": "3.7.9-final"
},
"colab": {
"name": "Desafio 3.ipynb",
Expand Down Expand Up @@ -61,7 +61,7 @@
"\n",
"# Seu código"
],
"execution_count": 0,
"execution_count": 3,
"outputs": []
},
{
Expand All @@ -72,10 +72,41 @@
"colab": {}
},
"source": [
""
"# import necessary libraries\n",
"import numpy as np"
],
"execution_count": 0,
"execution_count": 4,
"outputs": []
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"# get unique values and sort the list\n",
"un_values = sorted(np.unique(lista))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[1, 2, 3, 4, 5, 6, 9, 13, 15, 30, 45]"
]
},
"metadata": {},
"execution_count": 11
}
],
"source": [
"un_values"
]
}
]
}
}
36 changes: 29 additions & 7 deletions Desafio_04.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
"version": "3.7.9-final"
},
"colab": {
"name": "Desafio 4.ipynb",
Expand Down Expand Up @@ -61,9 +61,13 @@
"colab": {}
},
"source": [
"# Seu código"
"# Seu código\n",
"def reverse_text(phrase):\n",
" '''Reverses the order of words in a string'''\n",
" phrase = list(reversed(phrase.split(' ')))\n",
" return ' '.join(phrase)\n"
],
"execution_count": 0,
"execution_count": 2,
"outputs": []
},
{
Expand All @@ -74,10 +78,28 @@
"colab": {}
},
"source": [
""
"reverse_text('Python é legal')"
],
"execution_count": 0,
"outputs": []
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'legal é Python'"
]
},
"metadata": {},
"execution_count": 3
}
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
]
}
}
60 changes: 49 additions & 11 deletions Desafio_05.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,8 @@
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
"display_name": "Python 3",
"language": "python"
}
},
"cells": [
Expand Down Expand Up @@ -68,7 +69,7 @@
"'(255) 826-9050',\n",
"]"
],
"execution_count": 0,
"execution_count": 16,
"outputs": []
},
{
Expand All @@ -83,16 +84,53 @@
},
{
"cell_type": "code",
"metadata": {
"id": "F8n1sN-4XrW3",
"colab_type": "code",
"colab": {}
},
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
""
"def no_dups(numbers):\n",
" '''Recursively removes duplicate elements of a list'''\n",
" if numbers == []:\n",
" return []\n",
" else:\n",
" head, *tail = numbers\n",
" numbers = [head] + no_dups(list(filter(lambda x: x != head, tail)))\n",
" return numbers"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['(765) 368-1506',\n",
" '(285) 608-2448',\n",
" '(255) 826-9050',\n",
" '(554) 994-1517',\n",
" '(596) 336-5508',\n",
" '(511) 821-7870',\n",
" '(410) 665-4447',\n",
" '(821) 642-8987',\n",
" '(311) 799-3883',\n",
" '(935) 875-2054',\n",
" '(464) 788-2397',\n",
" '(650) 684-1437',\n",
" '(812) 816-0881',\n",
" '(885) 407-1719',\n",
" '(943) 769-1061']"
]
},
"metadata": {},
"execution_count": 18
}
],
"execution_count": 0,
"outputs": []
"source": [
"no_dups(numeros_telefone)"
]
}
]
}
}
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