빅분기 실기 python,R 패키지

실기과목의 내용

사진출처 : k-data

[python3.6 패키지 리스트 확인 명령어]

import pkg_resources 
import pandas 
OutputDataSet = pandas.DataFrame(sorted([(i.key, i.version) for i in pkg_resources.working_set])) 
print(OutputDataSet)

[python 패키지 리스트]

0 asn1crypto 0.24.0
1 beautifulsoup4 4.9.3
2 certifi 2018.1.18
3 chardet 3.0.4
4 cmake 3.18.4.post1
5 cryptography 2.1.4
6 cycler 0.10.0
7 cython 0.29.23
8 idna 2.6
9 joblib 1.0.1
10 keyring 10.6.0
11 keyrings.alt 3.0
12 kiwisolver 1.3.1
13 matplotlib 3.3.4
14 numpy 1.19.5
15 pandas 1.1.5
16 pillow 8.2.0
17 pip 9.0.1
18 pycrypto 2.6.1
19 pygobject 3.26.1
20 pyparsing 2.4.7
21 python-apt 1.6.5+ubuntu0.5
22 python-dateutil 2.8.1
23 pytz 2021.1
24 pyxdg 0.25
25 requests 2.18.4
26 scikit-learn 0.24.1
27 scipy 1.5.4
28 secretstorage 2.3.1
29 selenium 3.141.0
30 setuptools 39.0.1
31 six 1.11.0
32 soupsieve 2.2.1
33 ssh-import-id 5.7
34 threadpoolctl 2.1.0
35 unattended-upgrades 0.1
36 urllib3 1.22
37 wheel 0.30.0
38 xgboost 1.4.1

데이터수집 : request, beautifulsoup4, selenium
데이터 전처리 : pandas, numpy, matplotlib
모델링 및 평가 : scikit-learn, xgboost
시각화 : matplotlib, pillow

[R3.6 패키지 리스트 확인 명령어]

as.data.frame(installed.packages()[,c(3:4)])

[R 패키지 리스트]

              Version    Priority

askpass 1.1
base64enc 0.1-3
BH 1.75.0-0
brio 1.1.2
callr 3.7.0
caret 6.0-86
CARRoT 2.5.1
Ckmeans.1d.dp 4.3.3
cli 2.5.0
clipr 0.7.1
colorspace 2.0-0
commonmark 1.7
cpp11 0.2.7
crayon 1.4.1
cyclocomp 1.1.0
data.table 1.14.0
desc 1.3.0
DiagrammeR 1.0.6.1
diffobj 0.3.4
digest 0.6.27
doParallel 1.0.16
downloader 0.4
dplyr 1.0.5
e1071 1.7-6
ellipsis 0.3.1
evaluate 0.14
fansi 0.4.2
farver 2.1.0
float 0.2-4
foreach 1.5.1
generics 0.1.0
ggplot2 3.3.3
glue 1.4.2
gower 0.2.2
gridExtra 2.3
gtable 0.3.0
highr 0.9
hms 1.0.0
htmltools 0.5.1.1
htmlwidgets 1.5.3
httpuv 1.6.0
hunspell 3.0.1
igraph 1.2.6
influenceR 0.1.0
ipred 0.9-11
isoband 0.2.4
iterators 1.0.13
jpeg 0.1-8.1
jsonlite 1.7.2
knitr 1.33
labeling 0.4.2
later 1.2.0
lava 1.6.9
lazyeval 0.2.2
lifecycle 1.0.0
lmtest 0.9-38
lubridate 1.7.10
magrittr 2.0.1
markdown 1.1
mime 0.10
mockery 0.4.2
ModelMetrics 1.2.2.2
munsell 0.5.0
numDeriv 2016.8-1.1
pillar 1.6.0
pkgconfig 2.0.3
pkgload 1.2.1
plyr 1.8.6
png 0.1-7
praise 1.0.0
pROC 1.17.0.1
processx 3.5.1
prodlim 2019.11.13
promises 1.2.0.1
proxy 0.4-25
ps 1.6.0
purrr 0.3.4
R6 2.5.0
randomForest 4.6-14
rbibutils 2.1.1
RColorBrewer 1.1-2
Rcpp 1.0.6
Rdpack 2.1.1
readr 1.4.0
recipes 0.1.16
rematch2 2.1.2
remotes 2.3.0
reshape 0.8.8
reshape2 1.4.4
rex 1.2.0
rlang 0.4.10
rmarkdown 2.7
rprojroot 2.0.2
rstudioapi 0.13
scales 1.1.1
SQUAREM 2021.1
stringi 1.5.3
stringr 1.4.0
sys 3.4
testthat 3.0.2
tibble 3.1.1
tidyr 1.1.3
tidyselect 1.1.0
timeDate 3043.102
tinytex 0.31
titanic 0.1.0
utf8 1.2.1
vcd 1.4-8
vctrs 0.3.7
viridis 0.6.0
viridisLite 0.4.0
visNetwork 2.0.9
waldo 0.2.5
withr 2.4.2
xfun 0.22
xgboost 1.4.1.1
xmlparsedata 1.0.5
yaml 2.2.1
zoo 1.8-9
base 3.6.3 base
boot 1.3-25 recommended
class 7.3-17 recommended
cluster 2.1.0 recommended
codetools 0.2-18 recommended
compiler 3.6.3 base
datasets 3.6.3 base
foreign 0.8-76 recommended
graphics 3.6.3 base
grDevices 3.6.3 base
grid 3.6.3 base
KernSmooth 2.23-18 recommended
lattice 0.20-41 recommended
MASS 7.3-53 recommended
Matrix 1.3-2 recommended
methods 3.6.3 base
mgcv 1.8-33 recommended
nlme 3.1-151 recommended
nnet 7.3-14 recommended
parallel 3.6.3 base
rpart 4.1-15 recommended
spatial 7.3-11 recommended
splines 3.6.3 base
stats 3.6.3 base
stats4 3.6.3 base
survival 3.2-7 recommended
tcltk 3.6.3 base
tools 3.6.3 base
utils 3.6.3 base