๋ณธ๋ฌธ ๋ฐ”๋กœ๊ฐ€๊ธฐ

๋ฐ˜์‘ํ˜•

์ „์ฒด ๊ธ€

(34)
[Python] docstring (๋ฌธ์„œํ™” / ์‚ฌ์šฉ์ž ์ •์˜ ํ•จ์ˆ˜ ) ๐ŸŽˆ python docstring references: https://wikidocs.net/16050 24. Docstring - ๋ฌธ์„œํ™” - ํŒŒ์ด์ฌ์„ ์ ‘ํ•˜๋ฉด์„œ, ์—ฌ๋Ÿฌ๊ฐ€์ง€๋กœ ๋ฉ‹์ง€๋‹ค๋ผ๊ณ  ์ƒ๊ฐํ–ˆ๋˜ ๊ฒƒ ์ค‘์— ํ•˜๋‚˜ - docstring์„ ์ž‘์„ฑํ•˜๋ฉด, ํ”„๋กœ๊ทธ๋ž˜๋ฐ์˜ ์†์„ฑ์œผ๋กœ ์ ‘๊ทผํ• ์ˆ˜ ์žˆ์Œ. ## 1. docstring ์ด๋ž€ … wikidocs.net docstring์€ ๋ชจ๋“ˆ, ํ•จ์ˆ˜, ํด๋ž˜์Šค ๋˜๋Š” ๋ฉ”์†Œ๋“œ ์ •์˜์˜ ์ฒซ ๋ฒˆ์งธ ๋ช…๋ น๋ฌธ์œผ๋กœ ๋ฐœ์ƒํ•˜๋Š” ๋ฌธ์ž์—ด ๋ฆฌํ„ฐ๋Ÿด Module ์ฒซ๋ฒˆ์งธ ์ค„, ํ•จ์ˆ˜ ์„ ์–ธ ํ›„ ๋‚ด๋ถ€ ๋ฐ”๋กœ ์•„๋žซ์ค„ ๋˜๋Š” ํด๋ž˜์Šค ์„ ์–ธ ํ›„ ๋‚ด๋ถ€ ๋ฐ”๋กœ ์•„๋žซ์ค„์— ํฐ๋”ฐ์˜ดํ‘œ 3๊ฐœ๋‚˜ ์ž‘์€ ๋”ฐ์˜ดํ‘œ 3๊ฐœ๋กœ ์ž‘์„ฑํ•˜๋ฉด ๋œ๋‹ค. ๐Ÿ– Docstring ์‚ฌ์šฉ ์˜ˆ์‹œ def hello(): """์ด ํ•จ์ˆ˜๋Š” 'Hello World!'๋ฅผ ์ถœ๋ ฅํ•œ๋‹ค!""" p..
[Python] Pandas Data Analysis ๐Ÿ– Google Colab ์„ ์ด์šฉํ•ด์„œ Python ์‹คํ–‰ # google drive - google colab ์—ฐ๋™ from google.colab import drive drive.mount('/content/drive') ๐Ÿ– Pandas ํŒŒ์ผ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ import pandas as pd print('pandas version:', pd.__version__) # pandas version: 1.5.3 * boson.csv ํŒŒ์ผ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ DATA_PATH = '/content/drive/MyDrive/Colab Notebooks/2023/data/' df_boston = pd.read_csv(DATA_PATH + 'boston.csv') df_boston.head(1) df_boston.info() #..
[์ •๋ณด์ฒ˜๋ฆฌ๊ธฐ์‚ฌ] ์‹ค๊ธฐ _ ์ถœ์ œ ์˜ˆ์ƒ ๊ฐœ๋… ์ „์ฒด ์š”์  ์ •๋ฆฌ 1 * 2020๋…„ 1~4ํšŒ ๊ธฐ์ถœ๋ฌธ์ œ ๋ฐ ํ•„๊ธฐ ๋ฌธ์ œ ๊ธฐ๋ฐ˜์œผ๋กœ ์ถœ์ œ ์˜ˆ์ƒ ๊ฐœ๋… ์ •๋ฆฌํ•œ ๋‚ด์šฉ์ž…๋‹ˆ๋‹ค. โœ‹ 1. ๋ฐ˜๋ณต๋ฌธ (for / while - ๋ฒ”์œ„ ๋ฐ˜๋ณต) # ๋‹ค์Œ ํ”„๋กœ๊ทธ๋žจ์˜ ์‹คํ–‰ ๊ฒฐ๊ณผ๋ฅผ ์“ฐ์‹œ์˜ค. # include void main() { int i = 0, c = 0; while (i < 10) { i++; c *= i; } printf("%d", c); } ๐Ÿ’ก i ๊ฐ€ 0๋ถ€ํ„ฐ i < 10 ์กฐ๊ฑด์„ ๋งŒ์กฑํ•˜๋Š” ๋™์•ˆ, while ๋ฌธ ์•ˆ์˜ ๋ฌธ์žฅ์„ ๋ฐ˜๋ณตํ•ด์„œ ์‹คํ–‰ i++ → i = i + 1 c *= i → c = c * i (๊ฒฐ๊ณผ์ ์œผ๋กœ, 0 * 1 ์˜ ๊ฒฐ๊ณผ์ธ 0์ด ๋‹ค์‹œ c๊ฐ€ ๋œ๋‹ค.) while ๋ฌธ ์ฒ˜์Œ์œผ๋กœ ๋Œ์•„๊ฐ€์„œ i ๋Š” ํ˜„์žฌ 1 ์ด๋ฏ€๋กœ while(i < 10) ์กฐ๊ฑด์„ ๋งŒ์กฑํ•˜๊ณ  ๊ณ„์† ์‹คํ–‰๋œ๋‹ค. i++ ์‹คํ–‰ ์‹œ, i =2 ..
[Python] ๊ธฐ์ดˆ๋ฌธ๋ฒ• _ Sequence Type (List, Tuple, Dictionary) ๐Ÿ– List * ๋ฐ˜๋ณต๋ฌธ์„ ๋Œ๋ฆด ์ˆ˜ ์žˆ๋Š” data type ํ™•์ธ from collections.abc import Sequence my_num = 100 my_list = [1, 2, 3] my_string = "hello" isSeq1 = isinstance(my_num, Sequence) print(isSeq1) # False isSeq2 = isinstance(my_list, Sequence) print(isSeq2) # True isSeq3 = isinstance(my_string, Sequence) print(isSeq3) # True # ๋ฌธ์žํ˜•๋„ sequence data ๐Ÿ“ข isinstance() ๐Ÿ‘€ ์ค‘์ฒฉ list - item ์„ ์ž์œ ๋กญ๊ฒŒ slicing * Banana ๊ธ€์ž์—์„œ ๋งˆ์ง€๋ง‰ ์•ŒํŒŒ๋ฒณ a..
[Python] ๊ธฐ์ดˆ๋ฌธ๋ฒ• _ ๋ฌธ์ž์—ด (String) ๐Ÿ– ๋ฌธ์ž์—ด ์ˆ˜์ • x = "Hello World!!" # ๋ฐ”๊พธ๊ณ  ์‹ถ์€ ๊ฒƒ, Aello World!! x[0] = "A" print(x[0]) x = "Hello World!!" x = 'A' + x[1:] x ๐Ÿ‘Œ AttributeError ๐Ÿ‘Œ python string methods documentation → https://docs.python.org/3/library/stdtypes.html#str โ— python string method - upper() โ— python string method - replace() โ— python string method - split()
[Python] Comprehension (List, Dictionary, Tuple) ๐Ÿ– List Comprehension ๐Ÿ‘Œ ๋ฆฌ์ŠคํŠธ ์ƒ์„ฑํ•˜๊ธฐ * 1~10๊นŒ์ง€ ์ •์ˆ˜๋ฅผ ์ˆœ์„œ๋Œ€๋กœ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๋ฆฌ์ŠคํŠธ๋ฅผ ์ƒ์„ฑํ•˜๋Š” ์ฝ”๋“œ numbers = [] for n in range(1, 10+1): numbers.append(n) * ๋ฆฌ์ŠคํŠธ ์ปดํ”„๋ฆฌํ—จ์…˜(List Comprehension) : ๋ฆฌ์ŠคํŠธ๋ฅผ ์ƒ์„ฑํ•˜๋Š” ์ปดํ”„๋ฆฌํ—จ์…˜ [x for x in range(10)] ๐Ÿ‘Œ for ๋ฌธ๊ณผ ๋ฆฌ์ŠคํŠธ ์ปดํ”„๋ฆฌํ—จ์…˜ ๋น„๊ต → ๊ณตํ†ต์  : ๋ฆฌ์ŠคํŠธ๋ฅผ ์ƒ์„ฑํ•˜๋Š” ๋ฐฉ์‹์€ ๋Œ€๊ด„ํ˜ธ([ ]) ๋ฅผ ํ†ตํ•ด ์ƒ์„ฑ → ์ฐจ์ด์  : ๋ฆฌ์ŠคํŠธ ์ปดํ”„๋ฆฌํ—จ์…˜์€ ๋ฆฌ์ŠคํŠธ ๋‚ด๋ถ€์— ์ฝ”๋“œ๋ฅผ ์ž‘์„ฑ * 1~10๊นŒ์ง€ ์ˆซ์ž ์ค‘ ์ง์ˆ˜๋งŒ ์ˆœ์ฐจ์ ์œผ๋กœ ๋“ค์–ด์žˆ๋Š” ๋ฆฌ์ŠคํŠธ ์ƒ์„ฑํ•˜๊ธฐ * for๋ฌธ even_numbers = [] for n in range(1, 10+1): if n % 2 == 0: e..
[References] Machine Learning in R Tidy Modeling with R https://www.tmwr.org/ Tidy Modeling with R The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. This book provides a thorough introduction to how to use tidymodels, and an outline of good methodology and statistical practice for phases www.tmwr.org Caret Package http://appliedpredictivemodeling.com/ Applied Pred..
[Linux] ๋ช…๋ น์–ด & vi editor ์‹ค์Šต # ์งˆ๋ฌธ์— ๋‹ตํ•˜๊ธฐ 1. Linux ๋ช…๋ น์–ด ์‹ค์Šต 2. vi editor ์‹ค์Šต #1. Linux ๋ช…๋ น์–ด ์‹ค์Šต ** ์„ค์น˜ ์‹œ ๋ช…๋ น์–ด [Ubuntu] apt-get [Centos] dnf ** RunLevel ์‹ค์Šต # Cd /lib/systemd/system ์™ผ์ชฝ๋ถ€ํ„ฐ ์ตœ์ƒ์œ„ ๋””๋ ‰ํ† ๋ฆฌ # Pwd - ํ˜„์žฌ์œ„์น˜ ํ™•์ธ # cd ๋งŒ ์น˜๋ฉด ํ™ˆ๋””๋ ‰ํ† ๋ฆฌ๋กœ ์ด๋™ํ•จ ** Test ๊ณ„์ • ๊ฐ€๋ ค๋ฉด : su test Test ๊ณ„์ • ์ƒํƒœ์—์„œ๋Š” root ํ—ˆ๊ฐ€ ๊ฑฐ๋ถ€ [test@localhost ~ ] Test : ๊ณ„์ •์ด๋ฆ„ Localhost : ๋„๋ฉ”์ธ ํ™ˆ๋””๋ ‰ํ† ๋ฆฌ ์žˆ์„๊ฒฝ์šฐ ~ ์ผ๋ฐ˜ ์‚ฌ์šฉ์ž - [ ]$ ๋ฃจํŠธ - [ ]# ํ˜„์žฌ ์œ„์น˜๊ฐ€ ์•„๋ฌด๋ฆฌ ๋ฉ€๋ฆฌ ์žˆ์–ด๋„ $ cd ~ ์ž…๋ ฅํ•˜๋ฉด ํ™ˆ๋””๋ ‰ํ† ๋ฆฌ๋กœ ์ด๋™ Root ์ƒํƒœ์—์„œ # cd /lib/systemd/sys..

๋ฐ˜์‘ํ˜•