Solved course1

This commit is contained in:
Maksymilian Stachowiak 2023-11-18 16:42:28 +01:00
parent adfee58250
commit 24f3ab5175
22 changed files with 244 additions and 22 deletions

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@ -15,7 +15,40 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2\n",
"Hello Lumenn\n"
]
},
{
"ename": "AttributeError",
"evalue": "module 'math' has no attribute 'average'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[19], line 6\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(a)\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHello Lumenn\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 6\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mmath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maverage\u001b[49m(\u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m10\u001b[39m)))\n",
"\u001b[1;31mAttributeError\u001b[0m: module 'math' has no attribute 'average'"
]
}
],
"source": [
"import math\n",
"\n",
"a = 2\n",
"print(a)\n",
"print('Hello Lumenn')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"slideshow": {
"slide_type": "slide"
@ -58,22 +91,34 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 40,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"AlicjaBartosz 123\n"
]
}
],
"source": [
"user1 = \"Alicja\"\n",
"user2 = \"Bartosz\"\n",
"user3 = \"Cecylia\""
"import typing\n",
"\n",
"user1: str = \"Alicja\"\n",
"user2: str = \"Bartosz\"\n",
"user3: int = 123\n",
"\n",
"print(user1 + user2, user3)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 24,
"metadata": {
"slideshow": {
"slide_type": "slide"
@ -114,7 +159,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 26,
"metadata": {
"slideshow": {
"slide_type": "slide"
@ -135,7 +180,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 36,
"metadata": {
"slideshow": {
"slide_type": "slide"
@ -672,6 +717,9 @@
"cell_type": "markdown",
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true
},
"slideshow": {
"slide_type": "slide"
}
@ -2897,7 +2945,7 @@
"metadata": {
"celltoolbar": "Slideshow",
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@ -2911,9 +2959,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
"version": "3.10.11"
}
},
"nbformat": 4,
"nbformat_minor": 1
"nbformat_minor": 4
}

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@ -5,3 +5,8 @@
* oblicz pole koła i przypisz wynik do zmniennej `pole`. P = pi * r ** 2
* wyświetl wynik na ekran.
"""
pi = 3.14
promien = 12
print(pi * promien ** 2)

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@ -9,3 +9,6 @@ a = "12"
b = "35.5"
c = True
wynik = int(a) + float(b) + int(c)
print(wynik)

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@ -5,8 +5,8 @@
* Wyświetl sumaryczną długość zmiennych firstname i surname.
"""
firstname = "Tomasz"
surname = "Dwojak"
firstname = "Lumenn"
surname = "Silme"
print(f"Nazywam się {firstname} {surname}.")
@ -14,4 +14,6 @@ print(firstname.lower())
print("Nazywam się %s %s" % (firstname, surname))
fullname = f'{firstname} {surname}'
print(fullname, len(fullname))

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@ -12,3 +12,15 @@ Poniżej znajduje się lista `websites`.
websites = ['google.com', 'facebook.com', 'twitter.com', 'pinterest.com', 'python.org']
polish_websites = ['onet.pl', 'interia.pl', 'wp.pl']
print(websites.index('pinterest.com'))
websites[4] = 'yahoo.com'
print(websites)
websites.append('bing.com')
social_networks = websites[1:3]
print(social_networks)
websites.extend(polish_websites)
print(websites, len(websites))

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@ -7,4 +7,9 @@ Korzystając z listy numbers:
"""
numbers = [1, 8, 6, 6, 6, 7, 2, 0, 3, 0, 2, 3, 7, 0, 7, 2, 0, 3, 9, 4]
numbers = [1, 8, 6, 6, 6, 7, 2, 0, 3, 0, 2, 3, 7, 0, 7, 2, 0, 3, 9, 4]
print(numbers[1])
print(numbers.count(7))
print(len(numbers))
print(max(numbers))

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@ -14,3 +14,15 @@ iris_setosa = [
[4.9, 3, 1.4, 0.2],
[4.7, 3.2, 1.3, 0.2],
]
sum = 0
for set in iris_setosa:
sum += set[1]
print(sum/len(iris_setosa))
iris_setosa.append(
[5.4, 3.9, 1.7, 0.4]
)
print(iris_setosa)

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@ -21,5 +21,17 @@ data = {
cecylia_data = {
'name': 'Cecylia',
'surname': 'Szymanowska'.
'surname': 'Szymanowska'
}
print(data['place of birth'])
print(data['year of death'] - data['year of birth'])
data['place of death'] = 'Istanbul'
print(data)
data['place of birth'] = 'Zaosie'
print(data)
data['spouse'] = cecylia_data
print(data)
print(len(data['occupation']))
print(data['spouse']['name'])

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@ -3,4 +3,11 @@ Sprawdź czy tekst 'aAaAaA' znajduje się w tablicy passwords.
W zależności czy znajduje się czy też nie, wyświetl na ekranie odpowiedni komunikat.
"""
passwords = ['aaAaa', 'aAAAaa', 'aaaaaaA', 'aaaAAAAA', 'aaAAAaa', 'aAaAaA', 'aAaAaAA']
passwords = ['aaAaa', 'aAAAaa', 'aaaaaaA', 'aaaAAAAA', 'aaAAAaa', 'aAaAaA', 'aAaAaAA']
if 'aAaAaA' in passwords:
print('Exists')
else:
print('Not exits')

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@ -11,4 +11,18 @@ Zmienna `points` zawiera liczbę uzyskanych punktów przez studenta.
Napisz instrukcję warunką, która wyświetli ocenę studenta w zależności od liczby punktów.
"""
points = 85
points = 40
if points >= 90:
print(5.0)
elif points >= 80:
print(4.5)
elif points >= 70:
print(4.0)
elif points >= 60:
print(3.5)
elif points >= 50:
print(3.0)
else:
print(2.0)

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@ -2,3 +2,4 @@
Oblicz sumę liczb od 1 do 678.
"""
print(sum(range(1,678)))

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@ -21,3 +21,8 @@ rozklad = {
4: [],
3: []
}
for k in oceny:
rozklad[oceny[k]].append(k)
print(rozklad)

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@ -31,3 +31,12 @@ occasionals = {
'October': 53596,
'November': 10516,
}
allrides = {}
for month in members:
allrides[month] = members[month] + occasionals[month]
print(allrides)
print(sum(members.values()))
print(allrides['August'] / sum(allrides.values()) * 100)

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@ -21,3 +21,10 @@ tree_per_sqkm = {
"Taiwan": 69593,
"Turkey": 11126,
}
for country in tree_per_sqkm:
sqkm = tree_per_sqkm[country]
if sqkm > 20_000:
print(f'Over 20k: {country}')
if sqkm > 10_000 and sqkm < 20_000:
print(f'Between 10k and 20k: {country}')

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@ -8,4 +8,10 @@ równa wartości zmniennej `number_of_o`. Jeśli argument jest mniejszy niż 5,
Wyświetl ten napis na ekran.
"""
number_of_o = 6
number_of_o = 4
if number_of_o > 5:
o = 'O' * number_of_o
print(f'N{o}!' )
else:
print('It\'s not a big \'No!\'')

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@ -12,4 +12,13 @@
text = "this is a string , which i will use for string testing"
vocab = [',', 'this', 'is', 'a', 'which', 'for', 'will', 'i']
text = text.split(' ')
oov = []
for word in text:
if word not in vocab and word not in oov:
oov.append(word)
print(oov)

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@ -7,3 +7,22 @@ Ciąg Fibonacciego:
a[0] = 1, a[1] = 1, a[n] = a[n-1] + a[n-2] dla n>=2
"""
def fibonacciValue(limit, currentValue=1, previousValue=1):
if currentValue < limit:
print(currentValue)
fibonacciValue(limit, currentValue + previousValue, currentValue)
else:
return
def fibonacciSteps(stepLimit, currentValue = 1, previousValue = 1, step = 0):
if step < stepLimit:
print(currentValue)
step += 1
fibonacciSteps(stepLimit, currentValue + previousValue, currentValue, step)
else:
return
fibonacciValue(100)
fibonacciSteps(10)

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@ -7,7 +7,12 @@ przez 3 lub 5 mniejszych niż n.
"""
def sum_div35(n):
pass
sum = 0
for i in range(n):
if i % 3 == 0 or i % 5 == 0:
sum += i
return sum
input = 100
print(sum_div35(input))
# dla n =100 poprawna odpowiedź to 2318

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@ -3,4 +3,20 @@ Otwórz plik `zen_of_python.txt` i zlicz liczbę linii i słów w tym pliku.
Następnie przerób kod na funkcję, która jako argument będzie przyjmować ściężkę do pliku i będzie zwracać
słownik z dwoma kluczami: `liczba_linii` i `liczba_slow`.
"""
import pathlib
def read_metadata(path):
f = open(path, 'r')
file_content = f.read()
response = {
'liczba_linii': file_content.count('\n'),
'liczba_slow': len(file_content.split())
}
return response
print(read_metadata(f'{pathlib.Path(__file__).parent.resolve()}\..\zen_of_python.txt'))

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@ -7,6 +7,8 @@ Zadania: Zaimportuj bibliotekę statistics, która zawiera funckje do obliczenia
Każda z tych funkcji przyjmuje jeden argument: listę wartości.
"""
import statistics
members = {
'April': 211819,
'May': 682758,
@ -17,3 +19,8 @@ members = {
'October': 444177,
'November': 136791,
}
print('Mean:', statistics.mean(members.values()))
print('Median:', statistics.median(members.values()))
print('Variance:', statistics.variance(members.values()))
print('Stdev:', statistics.stdev(members.values()))

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@ -8,3 +8,21 @@ Biblioteka math posiada funkcję hypot, która oblicza odległość punktu od ś
* Oblicz stosunek liczby punktów, dla których odległość wynosiła mniej niż 1 do całkowitej liczby punktów. Pomnóż wartocść przez 4.
* Podstaw za n wartości 100, 1000, 1000000. Do jakiej wartości zbiegają wartości?
"""
import math
import random
cntLessThanOne = 0
repetitions = 10000
for i in range(0,repetitions):
x = random.random()
y = random.random()
distance = math.hypot(x, y)
print(x, y, distance)
if distance < 1:
cntLessThanOne += 1
print(cntLessThanOne)
print(cntLessThanOne/repetitions * 4)

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@ -1,2 +1,2 @@
Brazil,39542
Bulgaria,24987
Brazil,39542
Bulgaria,24987