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stringclasses
10 values
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stringclasses
10 values
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stringclasses
7 values
์ฃผ์–ด์ง„ ์ˆซ์ž์˜ ๋ฆฌ์ŠคํŠธ์—์„œ ํ‰๊ท ๊ฐ’์„ ๊ณ„์‚ฐํ•˜๋Š” Python ์ฝ”๋“œ๋ฅผ ์ž‘์„ฑํ•˜์„ธ์š”.
numbers = [10, 20, 30, 40, 50] average = sum(numbers) / len(numbers) print(average)
[10, 20, 30, 40, 50]
๋‹ค์Œ ๋ฌธ์žฅ์—์„œ '์‚ฌ๊ณผ'๋ผ๋Š” ๋‹จ์–ด๊ฐ€ ๋ช‡ ๋ฒˆ ๋‚˜์˜ค๋Š”์ง€ ์„ธ์–ด๋ณด์„ธ์š”.
3
์‚ฌ๊ณผ๋Š” ๋ง›์žˆ๋‹ค. ๋‚˜๋Š” ์‚ฌ๊ณผ๋ฅผ ์ข‹์•„ํ•œ๋‹ค. ์•„์นจ์— ๋จน๋Š” ์‚ฌ๊ณผ๋Š” ๊ฑด๊ฐ•์— ์ข‹๋‹ค.
์‚ฌ์šฉ์ž์˜ ๋‚˜์ด์— ๋”ฐ๋ผ ์„ฑ์ธ ์—ฌ๋ถ€๋ฅผ ํŒ๋‹จํ•˜๋Š” ํ•จ์ˆ˜๋ฅผ ์ž‘์„ฑํ•˜์„ธ์š”.
def check_adult(age): if age >= 19: return '์„ฑ์ธ์ž…๋‹ˆ๋‹ค' else: return '๋ฏธ์„ฑ๋…„์ž์ž…๋‹ˆ๋‹ค' # ๊ฒฐ๊ณผ: ์„ฑ์ธ์ž…๋‹ˆ๋‹ค
๋‚˜์ด: 21
๋‘ ์ˆ˜์˜ ํ•ฉ์„ ๊ตฌํ•˜๋Š” SQL ์ฟผ๋ฆฌ๋ฅผ ์ž‘์„ฑํ•˜์„ธ์š”.
SELECT 15 + 25 AS result;
์ˆ˜1: 15, ์ˆ˜2: 25
Pandas๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ CSV ํŒŒ์ผ์„ ์ฝ์–ด์˜ค๋Š” ์ฝ”๋“œ๋ฅผ ์ž‘์„ฑํ•˜์„ธ์š”.
import pandas as pd df = pd.read_csv('data.csv') print(df.head())
ํŒŒ์ผ๋ช…: data.csv
์ฃผ์–ด์ง„ ์˜๋‹จ์–ด๋ฅผ ํ•œ๊ตญ์–ด๋กœ ๋ฒˆ์—ญํ•˜์„ธ์š”.
์‚ฌ๊ณผ
Apple
๋ฆฌ์ŠคํŠธ์˜ ์ค‘๋ณต ์š”์†Œ๋ฅผ ์ œ๊ฑฐํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•˜์„ธ์š”.
Python์˜ set() ์ž๋ฃŒํ˜•์„ ์‚ฌ์šฉํ•˜๋ฉด ์ค‘๋ณต์„ ์‰ฝ๊ฒŒ ์ œ๊ฑฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ: list(set([1, 2, 2, 3, 4, 4, 5]))
[1, 2, 2, 3, 4, 4, 5]
Linux์—์„œ ํ˜„์žฌ ๋””๋ ‰ํ† ๋ฆฌ์˜ ํŒŒ์ผ ๋ชฉ๋ก์„ ํ™•์ธํ•˜๋Š” ๋ช…๋ น์–ด๋ฅผ ์“ฐ์„ธ์š”.
ls -al
null
๊ตฌ๊ตฌ๋‹จ 2๋‹จ์„ ์ถœ๋ ฅํ•˜๋Š” ๋ฐ˜๋ณต๋ฌธ์„ ์ž‘์„ฑํ•˜์„ธ์š”.
for i in range(1, 10): print(f'2 x {i} = {2 * i}')
null
๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์—์„œ 'users' ํ…Œ์ด๋ธ”์˜ ๋ชจ๋“  ๋ฐ์ดํ„ฐ๋ฅผ ์กฐํšŒํ•˜๋Š” ์ฟผ๋ฆฌ๋ฅผ ์ž‘์„ฑํ•˜์„ธ์š”.
SELECT * FROM users;
null
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