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PFN ã®ã‚ªãƒ³ãƒ—レML基盤ã®å–り組㿠/ オンプレML基盤 on Kubernetes 〜PFNã€ãƒ¤ãƒ•ãƒ¼ã€œ
Python basics: package management | Democratizing Data
Python is a very famous programming language for machine learning. In this article, I will introduce basic Python environment. GlossaryI will introduce basic terms about Python package management. pip: A tool for package installation. It retrieves Python packages from PyPI. pip is gem command of Ruby.virtualenv: Package isolation tool for Python. It has similar function with bundler of Ruby, but i
12. Virtual Environments and Packages
12. Virtual Environments and Packages¶ 12.1. Introduction¶ Python applications will often use packages and modules that don’t come as part of the standard library. Applications will sometimes need a specific version of a library, because the application may require that a particular bug has been fixed or the application may be written using an obsolete version of the library’s interface. This mean
Installation — HoloViews v1.22.1
Stop plotting your data - annotate your data and let it visualize itself. HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. With HoloViews, you can usually express what you want to do in very few lines of code, letting you focus on what you are trying to explore and convey, not on the process of plotting. For examples, check out the th
Pythonメモ : tqdmã§å‡¦ç†ã®é€²æ—（プãƒã‚°ãƒ¬ã‚¹ãƒãƒ¼ï¼‰ã‚’表示 - ã‚‚ãŸæ—¥è¨˜
tqdm インストール 使ã„æ–¹ イテラブルオブジェクト 手動 ãƒã‚¹ãƒˆ Pandas tqdm github.com tqdmを使用ã™ã‚‹ã¨å‡¦ç†ã®é€²æ—をプãƒã‚°ãƒ¬ã‚¹ãƒãƒ¼ã§è¡¨ç¤ºã™ã‚‹ã“ã¨ãŒã§ãるよã†ã«ãªã‚‹ã€‚時間ã®ã‹ã‹ã‚‹å‡¦ç†ã§é€²æ—を確èªã—ãŸã„ã¨ããªã©ã«ä¾¿åˆ©ã€‚ ã¡ãªã¿ã«ä¾‹ã§ã¯REPLã¨ã—ã¦ptpythonを使用ã—ã¦ã„る。 wonderwall.hatenablog.com インストール pipã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã§ãã‚‹ã®ã§ä¸‹è¨˜ã‚³ãƒžãƒ³ãƒ‰ã‚’実行。 $ pip install tqdm$ tqdm --help Usage: tqdm [--help | options] Options: -h, --help Print this help and exit -v, --version Print version and exit --desc=<desc> : str, optional Prefix for
venvを使ã£ãŸmacOSã®Python開発環境2016 - Qiita
ã¾ãŸé–‹ç™ºã§Pythonをゴリゴリ書ã環境ã«ãªã£ãŸã®ã§ã€æŠ˜è§’ãªã®ã§Python環境を整備ã—ãŸã€‚ 自分ã¯Web開発 + ã¡ã‚‡ã£ã¨ã—ãŸã‚¹ã‚¯ãƒªãƒ—トã§ã®åˆ©ç”¨ãŒä¸å¿ƒã§ã€ä»Šã§ã¯2ç³»ã®ã‚³ãƒ¼ãƒ‰ã‚’扱ã†ã“ã¨ãŒç„¡ããªã£ãŸç‚ºã€pyenv, pyenv-virtualenvã®åˆ©ç”¨ã‚’辞ã‚ã€venvを使ã†æ–¹æ³•ã«å¤‰ãˆãŸã€‚ (追記: 2017/12/29 2017å¹´ç¾åœ¨ã‚‚ã“ã®ç’°å¢ƒã§é–‹ç™ºä¸ã§ã™ã€‚) 環境: OS X EL Capitan, High Sierra pyenv, pyenv-virtualenvをアンインストールã™ã‚‹ pyenvãŒå¿…è¦ã‹ã©ã†ã‹ãƒ•ãƒãƒ¼ãƒãƒ£ãƒ¼ãƒˆ - Qiita ã«å¾“ã„ã€pyenv, pyenv-virtualenvをアンインストールã™ã‚‹ã€‚ 詳ã—ãã¯ãƒªãƒ³ã‚¯å…ˆå‚ç…§ã ãŒã€é–‹ç™ºç’°å¢ƒã®æ§‹ç¯‰æ–¹æ³•ã‚’探ã—ã¦ã“ã®è¨˜äº‹ã«è¾¿ã‚Šã¤ã„ãŸäººã«pyenvã¯ä¸è¦ã ã¨æ€ã‚れる。 ç§ã‚‚éŽåŽ»ã«ã¯pyenvを使ã£ã¦.python-versi
Python: PyCharmプãƒã‚¸ã‚§ã‚¯ãƒˆã«virtualenv環境をè¨å®š
目的 Pythonã®çµ±åˆé–‹ç™ºç’°å¢ƒã§ã‚ã‚‹PyCharmを用ã„ãŸPythonアプリã®é–‹ç™ºã«ãŠã„ã¦ä½¿ç”¨ã‚¤ãƒ³ã‚¿ãƒ¼ãƒ—リターをvirtualenv環境ã¨ã™ã‚‹è¨å®šã‚’ã™ã‚‹ã€‚ ※尚ã€ä»¥ä¸‹ã®æ‰‹é †ã¯Mac環境上ã«PyCharmãŒã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚Œã¦ã„ã‚‹å‰æã§é€²ã‚る。 virtualenvã¨ã¯ï¼Ÿ Pythonã®éš”離環境を構築ã§ãるツールã§ã€Pythonã®ãƒ‘ッケージマãƒãƒ¼ã‚¸ãƒ£ã§ã‚ã‚‹pipã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã§ãる。PyCharmã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆæ¯Žã«ä½¿ç”¨ãƒ‘ッケージをvirtualenvã§éš”離ã™ã‚‹ã“ã¨ã§ã€ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆæ¯Žã«åˆ¥Versionã®ãƒ‘ッケージを使用ã™ã‚‹ã“ã¨ãŒã§ãã€ã‚·ã‚¹ãƒ†ãƒ 標準ã®ãƒ‘ッケージを汚ã•ãšã€æœ¬ç•ªæƒ³å®šã®Python環境を構築ã§ãるメリットãŒã‚る。 å…¬å¼ãƒ‰ã‚ュメント：Virtualenv — virtualenv latest documentation Python環境ã®ç¢ºèª Pythonを未インストールã®å ´åˆã¯ã‚¤ãƒ³ã‚¹
Pythonã§ãƒ†ã‚¹ãƒˆ 連載(2) ユニットテストã®æ›¸ãæ–¹ - UNITEDアドテクブãƒã‚°
ã“ã‚“ã«ã¡ã¯ã€‚技術開発部データサイエンティストãƒãƒ¼ãƒ ã®è¥¿å²¡ã§ã™ã€‚ å‰å›žã®é€£è¼‰ã§ã¯ãªãœãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆã‚’書ãã®ã‹ã«ã¤ã„ã¦è¿°ã¹ã¾ã—ãŸã€‚ 今回ã¯å®Ÿéš›ã«Pythonã®unittestモジュールを使用ã—ãªãŒã‚‰ã€ãƒ†ã‚¹ãƒˆã®æ›¸ã方を説明ã—よã†ã¨æ€ã„ã¾ã™ã€‚ Pythonã®ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆã®è©±ã§ã¯ã‚ã‚Šã¾ã™ãŒã€ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆã®æ€æƒ³è‡ªä½“ã¯ä»–言語ã§ã‚‚通用ã™ã‚‹ã‚‚ã®ã§ã‚‚ã‚ã‚Šã¾ã™ã—ã€Pythonã®ä½¿ç”¨è€…以外ã®æ–¹ã‚‚自身ã®ã‚ˆã使ã‚れる言語ã®ãƒ¦ãƒ‹ãƒƒãƒˆãƒ†ã‚¹ãƒˆãƒ•ãƒ¬ãƒ¼ãƒ ワークã¨ç…§ã‚‰ã—åˆã‚ã›ãªãŒã‚‰èªã‚“ã§ã„ãŸã ã‘ã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ ãªãŠã€ã“ã“ã§ã¯Python3を使用ã—ã¦ã„ã¾ã™ã€‚
tox 㨠pytest 㧠Python 2/3 両対応ã®ãƒ†ã‚¹ãƒˆã‚’実行ã™ã‚‹ - forest book
pytest *1 ã«é–¢é€£ã—㦠tox も一緒ã«è¦šãˆã¦ãŠãã¨è‰¯ã•ãã†ã§ã™ã€‚ @t2y @methane å°‘ã—å‰ã‹ã‚‰tox + py.test ãŒé‰„æ¿ãªæ°—ãŒã—ã¾ã™ã㈠2012-02-07 20:50:23 via twicca to @t2y tox ã«ã¤ã„ã¦ã¯ id:Ehren ã®å…¥é–€è¨˜äº‹ãŒåˆ†ã‹ã‚Šã‚„ã™ã„ã§ã™ã€‚ Pythonã§ã®ãƒ†ã‚¹ãƒˆãƒ„ールtox入門 - Keep on moving 複数㮠Python ãƒãƒ¼ã‚¸ãƒ§ãƒ³æ¯Žã« virtualenv ã§ä»®æƒ³ç’°å¢ƒã‚’作æˆã—ã¦ã€ãã“ã«è‡ªåˆ†ã®ãƒ‘ッケージã¨å¿…è¦ãªãƒ©ã‚¤ãƒ–ラリç‰ã‚’インストールã—ã¦ã€ãã‚Œãžã‚Œã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³æ¯Žã«ãƒ†ã‚¹ãƒˆã‚’ã¾ã¨ã‚ã¦å®Ÿè¡Œã—ã¦ãã‚Œã¾ã™ã€‚例ãˆã°ã€Python 2/3 ã®ä¸¡å¯¾å¿œã‚’考ãˆãŸã¨ãã«ã€è‡ªåˆ†ã§ç’°å¢ƒã‚’切り分ã‘る手間隙を軽減ã§ãã¦ã€ã‹ãªã‚Šä¾¿åˆ©ã§ã™ã€‚ã“ã“ã§è¨€ã† Python 2/3 両対応㯠2.6/2.7 㨠3.x ã®å¯¾å¿œã‚’指ã—ã¾ã™ *2 。
Python: 自作パッケージã«ãƒ‡ãƒ¼ã‚¿ãƒ•ã‚¡ã‚¤ãƒ«ã‚’å«ã‚ã‚‹ - CUBE SUGAR CONTAINER
Python ã§è‡ªä½œãƒ‘ッケージを作る際ã«ã€ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ä»¥å¤–ã®ãƒ•ã‚¡ã‚¤ãƒ«ã‚’å«ã‚ãŸããªã‚‹å ´åˆãŒã‚る。 例ãˆã° Web アプリケーションを作るã¨ãã® HTML テンプレートãªã‚“ã‹ã¯ã‚ˆãã‚るパターン。 今回ã¯è‡ªä½œãƒ‘ッケージã«ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ä»¥å¤–ã®ãƒ•ã‚¡ã‚¤ãƒ« (データファイル) ã‚’å«ã‚ã‚‹ã‚„ã‚Šæ–¹ã«ã¤ã„ã¦æ›¸ã„ã¦ã¿ã‚‹ã€‚ 使用ã™ã‚‹ç’°å¢ƒã¯æ¬¡ã®é€šã‚Šã€‚ $ python --version Python 3.5.1 $ pip list pip (7.1.2) setuptools (18.2) wheel (0.24.0) 自作パッケージを用æ„ã™ã‚‹ データファイル云々を説明ã™ã‚‹å‰ã«ã€ã¾ãšã¯ãれを入れるãŸã‚ã®ãƒ‘ッケージã‹ã‚‰ä½œã£ã¦ã„ã“ã†ã€‚ 今回作æˆã™ã‚‹ãƒ‘ッケージ㯠'mypackage' ã¨ã„ã†åå‰ã«ã™ã‚‹ã€‚ 最åˆã«ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªã‚’用æ„ã™ã‚‹ã€‚ 作æˆã™ã‚‹ãƒ‘ッケージåã¨ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªåã¯æƒãˆã‚‹å ´åˆãŒå¤šã„。
Introducing {py}gradle, an open source Python plugin for Gradle
Introducing {py}gradle, an open source Python plugin for Gradle Image Credit: Yiying Lu, Copyright: Gradle Inc. Gradle is a build automation tool that supports many programming languages. It coordinates the process of building software between multiple different code repositories and automates a number of important related tasks, like checking dependencies and warning programmers if something they
Python 3.3ã§matplitlibã¨pylabを使ãŠã†ã¨ã—ãŸã‚‰ RuntimeError: Python is not installed as a frameworkã¨ã„ã†ã‚¨ãƒ©ãƒ¼ãŒç™ºç”Ÿã—ãŸã¨ãã®è§£æ±ºæ–¹æ³• - Qiita
RuntimeError: Python is not installed as a framework. The Mac OS X backend will not be able to function correctly if Python is not installed as a framework. See the Python documentation for more information on installing Python as a framework on Mac OS X. Please either reinstall Python as a framework, or try one of the other backends. ãªã‚‹ã‚¨ãƒ©ãƒ¼ãŒç™ºç”Ÿã—ãŸã€‚ 調査 ã¾ãšåŒæ§˜ã®ã‚¨ãƒ©ãƒ¼ãŒèµ·ã“ã£ã¦å›°ã£ã¦ã„る人ã€ãã—ã¦è§£æ±ºã—ãŸäººãŒã„ãªã„ã‹èª¿ã¹ãŸã€‚ ytã¨ã„ã†matpl
Hacker Codex
Python Development Environment on MacOS Ventura and Monterey Last updated: February 02, 2023 While installing Python and Virtualenv on MacOS Ventura and Monterey can be done several ways, this tutorial will guide you through the process of configuring a stock Mac system into a solid Python development environment. First steps This guide assumes that you have already installed Homebrew. For details
iPython-Notebooks / Comparing machine learning classifiers based on their hyperplanes or decision boundaries.ipynb / Jupyter Notebook Viewer
from pykalman.classifier import GenerativeBayes import pandas as pd import numpy as np rnorm = np.random.normal from sklearn.svm import SVC from sklearn.tree import DecisionTreeClassifier from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier from sklearn.qda import QDA from sklearn.linear_model import LogisticRegression from sklearn.neighbors import KNeighborsClassifier from skle
Estimating regression fits — seaborn 0.13.2 documentation
Estimating regression fits# Many datasets contain multiple quantitative variables, and the goal of an analysis is often to relate those variables to each other. We previously discussed functions that can accomplish this by showing the joint distribution of two variables. It can be very helpful, though, to use statistical models to estimate a simple relationship between two noisy sets of observatio
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Easy Progress Bars For Python File Reading with tqdm
Package index mirrors and caches - Python Packaging User Guide
Keynote: Project Jupyter | SciPy 2016 | Brian Granger
ds-for-telco/ds-for-telco-with-output.ipynb at master · hougs/ds-for-telco
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