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(Python) ๊ฐ€์ƒํ™˜๊ฒฝ ์‚ญ์ œ ๐Ÿถ python์„ ์ด์šฉํ•œ ๊ฐ€์ƒํ™˜๊ฒฝ ์‚ญ์ œ# ๊ฐ€์ƒํ™˜๊ฒฝ ๋น„ํ™œ์„ฑํ™”> deactivate # ๊ฐ€์ƒํ™˜๊ฒฝ ํด๋” ์‚ญ์ œ (๊ฐ€์ƒํ™˜๊ฒฝ ํด๋” ์žˆ๋Š” ๊ฒฝ๋กœ๋กœ ์ด๋™)> rm -rf {๊ฐ€์ƒํ™˜๊ฒฝ๋ช…}  ๐Ÿถ conda๋ฅผ ์ด์šฉํ•œ ๊ฐ€์ƒํ™˜๊ฒฝ ์‚ญ์ œ# ๊ฐ€์ƒํ™˜๊ฒฝ ๋น„ํ™œ์„ฑํ™”> conda deactivate# ๊ฐ€์ƒํ™˜๊ฒฝ ๋ชฉ๋ก ํ™•์ธ> conda env list or > conda info --envs # ๊ฐ€์ƒํ™˜๊ฒฝ ์‚ญ์ œconda remove --name {๊ฐ€์ƒํ™˜๊ฒฝ๋ช…} --all 2025. 2. 2.
[TIL] ๋‚ด์ผ๋ฐฐ์›€์บ ํ”„ AI 9๊ธฐ - 14ํšŒ ๐Ÿถ ํ•™์Šต ๋ฒ”์œ„ํ•™์Šต๋ฐ˜ ๊ณผ์ œ (ํŒŒ์ด์ฌ)๋จธ์‹ ๋Ÿฌ๋‹ ํŠน๊ฐ• ๐Ÿถ ๊ณต๋ถ€ ๋‚ด์šฉโœจ ํ•™์Šต๋ฐ˜ ๊ณผ์ œ - ํŒŒ์ด์ฌ ๋ฌธ์ œ 40 (๊ธฐ๋ณธ)โœ”๏ธ ์ˆ™์ œ - 8# ํ”ผ๋ณด๋‚˜์น˜ ์ˆ˜์—ด์—์„œ 14๊ฐœ๋งŒ ์ถœ๋ ฅfibonacci = [0, 1]for i in range(12): fibonacci.append(fibonacci[-2] + fibonacci[-1])print(fibonacci)โœ”๏ธ ์ˆ™์ œ - 10# 1๋ถ€ํ„ฐ 100๊นŒ์ง€ 3๊ณผ 7์˜ ๋ฐฐ์ˆ˜๋งŒ ์ถœ๋ ฅanswer = []for n in range(1, 101): if (n % 3 == 0) or (n % 7 == 0): answer.append(n)print(answer)โœ”๏ธ ์ˆ™์ œ - 11# numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]# ํ™€์ˆ˜๋งŒ ์ƒˆ๋กœ์šด ๋ฆฌ.. 2024. 12. 17.
[TIL] ๋‚ด์ผ๋ฐฐ์›€์บ ํ”„ AI 9๊ธฐ - 12ํšŒ ๐Ÿถ ํ•™์Šต ๋ฒ”์œ„์•Œ๊ณ ๋ฆฌ์ฆ˜, SQL ์ฝ”๋“œ์นดํƒ€๋จธ์‹ ๋Ÿฌ๋‹ ๊ฐœ์ธ๊ณต๋ถ€ ๐Ÿถ ๊ณต๋ถ€ ๋‚ด์šฉโœจ ์ฝ”๋“œ์นดํƒ€๐Ÿšฉ ๋ฌธ์ œ# https://school.programmers.co.kr/learn/courses/30/lessons/120583 (์ค‘๋ณต๋œ ์ˆซ์ž ๊ฐœ์ˆ˜)๐Ÿšฉ ๋‹ต์•ˆ# 1. for๋ฌธ ์‚ฌ์šฉdef solution(array, n): answer = 0 for i in array: if i == n: answer += 1 return answer# 2. count() ํ•จ์ˆ˜ ์‚ฌ์šฉdef solution(array, n): return array.count(n) ๐Ÿšฉ ์ถ”๊ฐ€# count() ํ•จ์ˆ˜ ๊ตฌํ˜„๋ถ€static PyObject *list_count(PyListObject .. 2024. 12. 13.
[TIL] ๋‚ด์ผ๋ฐฐ์›€์บ ํ”„ AI 9๊ธฐ - 11ํšŒ ๐Ÿถ ํ•™์Šต ๋ฒ”์œ„์•Œ๊ณ ๋ฆฌ์ฆ˜, SQL ์ฝ”๋“œ์นดํƒ€์Šคํƒ ๋‹ค๋“œ ํ•™์Šต๋ฐ˜ ๊ต์œก๋จธ์‹ ๋Ÿฌ๋‹ ๊ฐœ์ธ๊ณต๋ถ€ ๐Ÿถ ๊ณต๋ถ€ ๋‚ด์šฉ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์ฝ”๋“œ์นดํƒ€์—์„œ, ๋ฐฐ์—ด์„ ๋ฐ˜๋Œ€๋กœ ๋ฐ”๊พธ๋Š” ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๋Š”๋ฐ ํ•จ์ˆ˜๋ฅผ ์ข€ ๋” ๊นŠ๊ฒŒ ํŒŒ๋ดค๋‹ค.๋จธ์‹ ๋Ÿฌ๋‹์€ ๋„ˆ๋ฌด ๊ธธ์–ด์„œ ์ •๋ฆฌ๋ฅผ ์ƒ๋žตํ•œ๋‹ค.๐Ÿšฉ ๋ฌธ์ œ# https://school.programmers.co.kr/learn/courses/30/lessons/120821 (๋ฐฐ์—ด ๋’ค์ง‘๊ธฐ)๐Ÿšฉ ๋‹ต์•ˆdef solution(num_list): num_list.reverse() return num_list ๐Ÿšฉ ์ถ”๊ฐ€# reverse() ํ•จ์ˆ˜ ๊ตฌํ˜„๋ถ€# ์ผ๋ฐ˜์ ์ธ for๋ฌธ์„ ํ†ตํ•ด ๊ตฌํ˜„ํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ–ˆ๋‹ค.# ๋ฐ˜๋“œ์‹œ None์„ ๋ฐ˜ํ™˜ํ•˜๋Š” ๊ฒƒ์„ ํ†ตํ•ด ํ•จ์ˆ˜ ์‹คํ–‰ ์›๋ฆฌ๋ฅผ ์ข€ ๋” ๋ช…ํ™•ํžˆ ์•Œ๊ฒŒ๋๋‹ค.static PyObject *list_rev.. 2024. 12. 12.
[TIL] ๋‚ด์ผ๋ฐฐ์›€์บ ํ”„ AI 9๊ธฐ - 9ํšŒ ๐Ÿถ ํ•™์Šต ๋ฒ”์œ„๊ฐ•์ขŒ:  ๋ฐ”๋‹ฅ๋ถ€ํ„ฐ ์‹œ์ž‘ํ•˜๋Š” ๋จธ์‹ ๋Ÿฌ๋‹ 1~2 ์ฃผ์ฐจ ๐Ÿถ ๊ณต๋ถ€ ๋‚ด์šฉโœจ ์บ๊ธ€(Kaggle)๐Ÿšฉ ๋‚ด์šฉ 1. ๋ฐ์ดํ„ฐ ๊ณผํ•™ ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹ ๊ฒฝ์ง„๋Œ€ํšŒ ํ”Œ๋žซํผ 2. ๋ฐ์ดํ„ฐ ์‚ฌ์ด์–ธํ‹ฐ์ŠคํŠธ, ๋จธ์‹ ๋Ÿฌ๋‹ ์—”์ง€๋‹ˆ์–ด๋“ค์ด ๋‹ค์–‘ํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ  ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ 3. ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๋Š”๋ฐ ํ•„์š”ํ•œ ๋ฐ์ดํ„ฐ์…‹๊ณผ ๋„๊ตฌ๋ฅผ ์ œ๊ณต ๐Ÿšฉ ์‚ฌ์šฉ๋ฒ• โœ”๏ธ 1. kaggle ์„ค์น˜ pip install kaggle โœ”๏ธ 2. ๋ฐ์ดํ„ฐ ๋‹ค์šด๋กœ๋“œ kaggle datasets download -d โœ”๏ธ 3. ๋ฐ์ดํ„ฐ์…‹ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ import pandas as pd df = pd.read_csv('data.csv') df.head(5) 1 . ํ”„๋กœํ•„ ํด๋ฆญ → API ํ•ญ๋ชฉ 'Create New To.. 2024. 12. 5.
[TIL] ๋‚ด์ผ๋ฐฐ์›€์บ ํ”„ AI 9๊ธฐ - 8ํšŒ ๐Ÿถ ํ•™์Šต ๋ฒ”์œ„๊ฐ•์ขŒ: ์ธ๊ณต์ง€๋Šฅ์„ ์œ„ํ•œ ํŒŒ์ด์ฌ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ  4~5์ฃผ์ฐจํ”ผ๋ฒ—ํ…Œ์ด๋ธ”, ๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ๊ฐœ์ธ๊ณผ์ œํŒŒ์ด์ฌ ๊ธฐ๋ณธ ๋ฌธ๋ฒ•, ํŒŒ์ด์ฌ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ (numpy, pandas) ๐Ÿถ ํŒŒ์ด์ฌ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ๊ณผ์ œโœจ ๋ฐ์ดํ„ฐ ์ฝ์–ด์˜ค๊ธฐ (read)๐Ÿšฉ ๋‚ด์šฉ 1. ๋‹ค์–‘ํ•œ ์œ ํ˜•์˜ ๋ฐ์ดํ„ฐ ํŒŒ์ผ์„ ์ฝ๊ธฐ ์œ„ํ•œ ์—ฌ๋Ÿฌ ํ•จ์ˆ˜๋ฅผ ์ œ๊ณต 2. read ํ•จ์ˆ˜๊ฐ€ ์ฃผ๋กœ ์‚ฌ์šฉ๋จ ๐Ÿšฉ ์‚ฌ์šฉ๋ฒ• import pandas as pd โœ”๏ธ 1. read_csv(): CSV ํŒŒ์ผ์„ ๋กœ๋“œ (url ์ง€์›) 1) pd.read_csv('filename.csv') 2) url = "https://example.com/data.csv" pd.read_csv(url) โœ”๏ธ 2. read_excel(): Excel ํŒŒ์ผ.. 2024. 12. 4.