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次ã®SQLããŒã¿ããŒã¹ãããåå(name)ã'Alice'ã§ããã¬ã³ãŒããååŸããPythonã³ãŒããçæããŸãã | SQLããŒã¿ããŒã¹ïŒsample_users
ããŒãã«ïŒusers
```sql
id|name |age
--|------|----
1 |Alice |30
2 |Bob |25
3 |Charlie|35
``` | ```python
import sqlite3
conn = sqlite3.connect('sample_users.db')
c = conn.cursor()
c.execute("SELECT * FROM users WHERE name='Alice'")
rows = c.fetchall()
for row in rows:
print(row)
``` |
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```python
def calculate_average(a, b):
return (a + b) / 2
print(calculate_average(1, 2))
``` |
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def remove_large_values(lst, value):
"""
This function will remove all elements in the list that are greater than the given value.
It will return the modified list.
For example:
lst: [1, 2, 3, 4, 5]
value: 3
output: [1, 2]
"""
``` | ```python
return [i for i in lst if i <= value]
``` |
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``` |
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import sympy as sp
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total_time = 6
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people_in_family = 4
batches = 3
cookies_per_person = cookies_in_one_batch * batches / people_in_family
number_of_chips_eaten_per_person = chips_per_cookie * cookies_per_person
number_of_chips_eaten_per_person
</llm-code><llm-code-output>
18.0
</llm-code-output>
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import time
def sum_of_numbers(n):
total = 0
for i in range(1, n+1):
total += i
return total
start_time = time.time()
result = sum_of_numbers(1000000)
end_time = time.time()
print(f'èšç®çµæ: {result}, èšç®æé: {end_time - start_time}')
``` | ãã® Python ã³ãŒãã¯ã1ãã `n` ãŸã§ã®æ°ã®åãèšç®ããŠããŸãããããããã®ã³ãŒãã§ã¯ã倧ããªæ°å€ã®åèšãèšç®ããå Žåã«ã¯é
ããªãåŸåããããŸãããã®åé¡ã解決ããããã«ãèšç®ã®é«éåã®ããã«ã代æ°çã«ã¯ `n(n+1)/2` ã䜿çšããããšãã§ããŸãã |
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from sympy import symbols, Eq, solve
x = symbols('x')
eq = Eq(x - 3, 0)
root = solve(eq)[0]
root
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number_of_dozens = 5
number_of_roses_in_a_dozen = 12
cost_per_rose = 6
price = number_of_dozens * number_of_roses_in_a_dozen * cost_per_rose
price_after_80_discount = price * 80 / 100
price_after_80_discount
</llm-code><llm-code-output>
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import locale
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``` |
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# denoting the amount of pink roses by x
x = 0
# there are 10 rows with 20 roses in each row
number_of_rows = 10
roses_per_row = 20
# 1/2 of the roses in each row are red
number_of_red_roses_per_row = roses_per_row / 2
# subtract to get number of roses that are not red
number_of_white_roses_per_row = 3 / 5 * (roses_per_row - number_of_red_roses_per_row)
# the remaining roses are pink
x = roses_per_row - number_of_red_roses_per_row - number_of_white_roses_per_row
# multiply by number of rows to get total
x * number_of_rows
</llm-code><llm-code-output>
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8. Python ã®ã³ãŒããæ¹åããŠãäžãããã CSV ãã¡ã€ã«ããç¹å®ã®åã®å€ãæœåºããã³ãŒããæ¹åããŠãã ããã | ```python
import pandas as pd
def extract_values_from_csv(csv_file, column_name):
"""
This function will extract the values of the specified column from the given CSV file
and return them as a list.
"""
df = pd.read_csv(csv_file)
return df[column_name].tolist()
``` | ```python
df = pd.read_csv(csv_file, usecols=[column_name])
return df[column_name].tolist()
# Test the function
csv_file = 'sample.csv'
column_name = 'column1'
values = extract_values_from_csv(csv_file, column_name)
print('The values in the', column_name, 'column are:', values)
``` |
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以äžã®ã³ãŒãã«ãããã°ãä¿®æ£ããªããã | ```python
def add_numbers(a, b):
return a + b
result = add_numbers("1", "2")
print(result)
``` | ```python
def add_numbers(a, b):
return int(a) + int(b)
result = add_numbers("1", "2")
print(result)
``` |
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