1.pip 업그레이드
py -m pip install --upgrade pip
2.주피터노트북 설치
pip install jupyter
3.패키지 설치
pip install pandas matplotlib seaborn selenium requests bs4 opencv-python pillow openpyxl lxml nltk kiwipiepy textblob wordcloud squarify gensim scikit-learn tqdm afinn py_lex xmltodict
pip 라는 명령어를 많이 쓴다.
이게 파이선 인스톨 패키지 이다
외부 패키지는 우리가 인스톨을 따로 해줘야한다 .
사내는 보안이 걸려있다 > 이 방식이 보안에 대한 것을 옵션을 넣어줘야함 사외 보안이 안 걸려 있어서 이렇게 하면 됨
포스코에서는 SSS라고 보안 관련 문제가 뜬다.
Microsoft Windows [Version 10.0.19045.3930]
(c) Microsoft Corporation. All rights reserved.
C:\Users\21타투이일화>py -m pip install --upgrade pip
Requirement already satisfied: pip in c:\users\21타투이일화\appdata\local\programs\python\python39\lib\site-packages (21.2.4)
Collecting pip
Downloading pip-23.3.2-py3-none-any.whl (2.1 MB)
|████████████████████████████████| 2.1 MB 3.3 MB/s
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 21.2.4
Uninstalling pip-21.2.4:
Successfully uninstalled pip-21.2.4
Successfully installed pip-23.3.2
C:\Users\21타투이일화>pip install jupyter
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Installing collected packages: webencodings, wcwidth, pywin32, pure-eval, json5, fastjsonschema, zipp, widgetsnbextension, websocket-client, webcolors, urllib3, uri-template, typing-extensions, types-python-dateutil, traitlets, tornado, tomli, tinycss2, soupsieve, sniffio, six, send2trash, rpds-py, rfc3986-validator, pyzmq, pyyaml, pywinpty, python-json-logger, pygments, pycparser, psutil, prompt-toolkit, prometheus-client, platformdirs, parso, pandocfilters, packaging, overrides, nest-asyncio, mistune, markupsafe, jupyterlab-widgets, jupyterlab-pygments, jsonpointer, idna, fqdn, executing, exceptiongroup, defusedxml, decorator, debugpy, colorama, charset-normalizer, certifi, babel, attrs, terminado, rfc3339-validator, requests, referencing, qtpy, python-dateutil, matplotlib-inline, jupyter-core, jinja2, jedi, importlib-metadata, comm, cffi, bleach, beautifulsoup4, async-lru, asttokens, anyio, stack-data, jupyter-server-terminals, jupyter-client, jsonschema-specifications, arrow, argon2-cffi-bindings, jsonschema, isoduration, ipython, argon2-cffi, nbformat, ipywidgets, ipykernel, qtconsole, nbclient, jupyter-events, jupyter-console, nbconvert, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter
Successfully installed anyio-4.2.0 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 asttokens-2.4.1 async-lru-2.0.4 attrs-23.2.0 babel-2.14.0 beautifulsoup4-4.12.2 bleach-6.1.0 certifi-2023.11.17 cffi-1.16.0 charset-normalizer-3.3.2 colorama-0.4.6 comm-0.2.1 debugpy-1.8.0 decorator-5.1.1 defusedxml-0.7.1 exceptiongroup-1.2.0 executing-2.0.1 fastjsonschema-2.19.1 fqdn-1.5.1 idna-3.6 importlib-metadata-7.0.1 ipykernel-6.28.0 ipython-8.18.1 ipywidgets-8.1.1 isoduration-20.11.0 jedi-0.19.1 jinja2-3.1.3 json5-0.9.14 jsonpointer-2.4 jsonschema-4.20.0 jsonschema-specifications-2023.12.1 jupyter-1.0.0 jupyter-client-8.6.0 jupyter-console-6.6.3 jupyter-core-5.7.1 jupyter-events-0.9.0 jupyter-lsp-2.2.1 jupyter-server-2.12.4 jupyter-server-terminals-0.5.1 jupyterlab-4.0.10 jupyterlab-pygments-0.3.0 jupyterlab-server-2.25.2 jupyterlab-widgets-3.0.9 markupsafe-2.1.3 matplotlib-inline-0.1.6 mistune-3.0.2 nbclient-0.9.0 nbconvert-7.14.1 nbformat-5.9.2 nest-asyncio-1.5.8 notebook-7.0.6 notebook-shim-0.2.3 overrides-7.4.0 packaging-23.2 pandocfilters-1.5.0 parso-0.8.3 platformdirs-4.1.0 prometheus-client-0.19.0 prompt-toolkit-3.0.43 psutil-5.9.7 pure-eval-0.2.2 pycparser-2.21 pygments-2.17.2 python-dateutil-2.8.2 python-json-logger-2.0.7 pywin32-306 pywinpty-2.0.12 pyyaml-6.0.1 pyzmq-25.1.2 qtconsole-5.5.1 qtpy-2.4.1 referencing-0.32.1 requests-2.31.0 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.17.1 send2trash-1.8.2 six-1.16.0 sniffio-1.3.0 soupsieve-2.5 stack-data-0.6.3 terminado-0.18.0 tinycss2-1.2.1 tomli-2.0.1 tornado-6.4 traitlets-5.14.1 types-python-dateutil-2.8.19.20240106 typing-extensions-4.9.0 uri-template-1.3.0 urllib3-2.1.0 wcwidth-0.2.13 webcolors-1.13 webencodings-0.5.1 websocket-client-1.7.0 widgetsnbextension-4.0.9 zipp-3.17.0
C:\Users\21타투이일화>pip install pandas matplotlib seaborn selenium requests bs4 opencv-python pillow openpyxl lxml nltk kiwipiepy textblob wordcloud squarify gensim scikit-learn tqdm afinn py_lex xmltodict
Collecting pandas
Downloading pandas-2.1.4-cp39-cp39-win_amd64.whl.metadata (18 kB)
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Downloading selenium-4.16.0-py3-none-any.whl.metadata (6.9 kB)
Requirement already satisfied: requests in c:\users\21타투이일화\appdata\local\programs\python\python39\lib\site-packages (2.31.0)
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Downloading bs4-0.0.1.tar.gz (1.1 kB)
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Downloading opencv_python-4.9.0.80-cp37-abi3-win_amd64.whl.metadata (20 kB)
Collecting pillow
Downloading pillow-10.2.0-cp39-cp39-win_amd64.whl.metadata (9.9 kB)
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Collecting lxml
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Collecting kiwipiepy
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Collecting textblob
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Collecting wordcloud
Downloading wordcloud-1.9.3-cp39-cp39-win_amd64.whl.metadata (3.5 kB)
Collecting squarify
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Collecting kiwisolver>=1.3.1 (from matplotlib)
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Building wheels for collected packages: bs4, afinn, kiwipiepy-model
Building wheel for bs4 (pyproject.toml) ... done
Created wheel for bs4: filename=bs4-0.0.1-py3-none-any.whl size=1262 sha256=57fb0d9bd9d39ca636e9ca3d8688b577c155a084fb37ca9a7af0915baf47e0a6
Stored in directory: c:\users\21타투이일화\appdata\local\pip\cache\wheels\73\2b\cb\099980278a0c9a3e57ff1a89875ec07bfa0b6fcbebb9a8cad3
Building wheel for afinn (pyproject.toml) ... done
Created wheel for afinn: filename=afinn-0.1-py3-none-any.whl size=53438 sha256=39b6f6a3b670052555da41f659928df09c55316d32e272f6768e8c7e707e05b3
Stored in directory: c:\users\21타투이일화\appdata\local\pip\cache\wheels\79\91\ee\8374d9bc8c6c0896a2db75afdfd63d43653902407a0e76cd94
Building wheel for kiwipiepy-model (pyproject.toml) ... done
Created wheel for kiwipiepy-model: filename=kiwipiepy_model-0.16.0-py3-none-any.whl size=30813267 sha256=ed988c90d4509712f9c097d630eebf7717f501d97557fa7c540790c103c952b4
Stored in directory: c:\users\21타투이일화\appdata\local\pip\cache\wheels\ea\82\d5\2d3497de241127c27bec0dc35bb95bc84a81373e2360e3140d
Successfully built bs4 afinn kiwipiepy-model
Installing collected packages: squarify, sortedcontainers, pytz, kiwipiepy-model, afinn, xmltodict, tzdata, tqdm, threadpoolctl, smart-open, regex, pysocks, pyparsing, pillow, outcome, numpy, marisa-trie, lxml, kiwisolver, joblib, importlib-resources, h11, fonttools, et-xmlfile, cycler, click, bidict, wsproto, trio, scipy, py_lex, pandas, openpyxl, opencv-python, nltk, kiwipiepy, contourpy, bs4, trio-websocket, textblob, scikit-learn, matplotlib, gensim, wordcloud, selenium, seaborn
Successfully installed afinn-0.1 bidict-0.22.1 bs4-0.0.1 click-8.1.7 contourpy-1.2.0 cycler-0.12.1 et-xmlfile-1.1.0 fonttools-4.47.2 gensim-4.3.2 h11-0.14.0 importlib-resources-6.1.1 joblib-1.3.2 kiwipiepy-0.16.2 kiwipiepy-model-0.16.0 kiwisolver-1.4.5 lxml-5.1.0 marisa-trie-1.1.0 matplotlib-3.8.2 nltk-3.8.1 numpy-1.26.3 opencv-python-4.9.0.80 openpyxl-3.1.2 outcome-1.3.0.post0 pandas-2.1.4 pillow-10.2.0 py_lex-0.2.1 pyparsing-3.1.1 pysocks-1.7.1 pytz-2023.3.post1 regex-2023.12.25 scikit-learn-1.3.2 scipy-1.11.4 seaborn-0.13.1 selenium-4.16.0 smart-open-6.4.0 sortedcontainers-2.4.0 squarify-0.4.3 textblob-0.17.1 threadpoolctl-3.2.0 tqdm-4.66.1 trio-0.24.0 trio-websocket-0.11.1 tzdata-2023.4 wordcloud-1.9.3 wsproto-1.2.0 xmltodict-0.13.0
C:\Users\21타투이일화>
이렇게 뜬다.
젠심 빼고 해보기 ( 3번 안되면)
jupyter notebook
파이선은 범위가 상당히 넓다.
R이라는 프로그램이 있는데 전용 데이터 분석에 전용화된 어떤 패키지 인데
애는 데이터 분석은 좀 잘되는 편임.
다른 예를 들면 웹에서 크롤링이라던지
데이터를 가져오는 것을 말함
이걸 웹 크로링이라고 함
하나의 업무용 로봇이다. 프로그래밍을 할 때 파이썬 프로그램을 이용하면 그런 것들을 쉽게 해낼 수 있다.
파이썬을 우리가 조금 더 기업체에서는 많이 쓴다.
웹 크롤링하고 RPNm 사무 자동화 관련된 패키지들이 대부분
텍스트 문서 그런 패키지인데 이 파이썬은 다양한 어떤 외부 패키지들이 주를 이뤄서 회사에서 많이 쓴다 또 저수준 랭귀지가 아니라 고수준 랭귀지라서 배우는 것보다도 대단히 간단하게 코딩을 해서 결과를 얻을 수 있다
반본물을 돌려야하는 것을 파이선에서는 명령어 하나로 대부분 해결된다.
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