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Announcing Support for Native Editing of Jupyter Notebooks in VS Code - Python
With today’s October release of the Python extension, we’re excited to announce the support of native editing of Jupyter notebooks inside Visual Studio Code! You can now directly edit .ipynb files and get the interactivity of Jupyter notebooks with all of the power of VS Code. You can manage source control, open multiple files, and leverage productivity features like IntelliSense, Git integration,
Announcing JupyterHub 1.0
Today, we are pleased to announce the 1.0 release of JupyterHub. We’ve come a long way since our first release in March, 2015. There are loads of new features and improvements covered in the changelog, but we’ll cover a few of the highlights here. You can upgrade jupyterhub with conda or pip: (Before upgrading, always make sure to backup your database!) conda install -c conda-forge jupyterhub==1.0
「Netflixã«ãŠã‘ã‚‹ã€ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–を超ãˆãŸNotebooké©å‘½ã€ãƒ¡ãƒ¢ - MyEnigma
Jupyter Cookbookposted with カエレãƒDan Toomey Packt Publishing 2018-04-30 Amazonã§æŽ¢ã™æ¥½å¤©å¸‚å ´ã§æŽ¢ã™Yahooショッピングã§æŽ¢ã™ 目次 目次 ã¯ã˜ã‚㫠メモ å‚考資料 MyEnigma Supporters ã¯ã˜ã‚㫠今回ã®è¨˜äº‹ã¯ä¸‹è¨˜ã®è¨˜äº‹ã‚’èªã¿ãªãŒã‚‰ã€ Twitterを使ã£ã¦ãƒ¡ãƒ¢ã—ãŸã‚‚ã®ã§ã™ã€‚ medium.com メモ ã“ã®Netflixã®Jupyter Notebookã®æ´»ç”¨æ³•ã®è¨˜äº‹é¢ç™½ã„ãªã。久ã—ã¶ã‚Šã«Twitterã§ãƒ¡ãƒ¢ã—ã¦ã¿ã‚ˆã†ã‹ãªã€‚ https://t.co/1gLA1N20Qk— Atsushi Sakai (@Atsushi_twi) 2018å¹´9月4æ—¥ タイトルã¯ã€ŒNetflixã«ãŠã‘ã‚‹ã€ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–を超ãˆãŸNotebooké©å‘½ã€ã‹ãªã€‚Notebookã¯ãƒ—ãƒãƒˆã‚¿ã‚¤ãƒ”ングやã€æŽ¢ç´¢çš„ãªãƒ‡ãƒ¼ã‚¿è§£æžã®
pythonã§ã®ãƒ‡ãƒ¼ã‚¿åˆ†æžæ™‚ã€æ»ã¬ã»ã©èª¿ã¹ã‚‹Tipsã‚’ã¾ã¨ã‚ã¦ãŠã。 - プãƒã‚¯ãƒ©ã‚·ã‚¹ãƒˆ
ã“ã‚“ã«ã¡ã¯ã€ã»ã‘ãよã§ã™ã€‚ pythonã§ãƒ‡ãƒ¼ã‚¿ã‚’å–り扱ã£ã¦ã„ã‚‹ã¨ã「ã‚ã‚Œã€ã“ã‚Œã©ã†ã‚„ã‚‹ã‚“ã ã£ã‘？？〠ã£ã¦ãªã‚‹ã“ã¨ã€ã‚ã‚Šã¾ã›ã‚“ã‹ï¼Ÿåƒ•ã¯10分ã«1回程度ãªã‚Šã¾ã™ã€‚ ã„ã‚„ã€è¦šãˆã‚ã¨è‡ªåˆ†ã§ã‚‚æ€ã†ã‚“ã§ã™ãŒã€è¦šãˆã‚‰ã‚Œãªã„ã‚“ã§ã™ã‚ˆã。100回ãらã„åŒã˜ã‚³ãƒžãƒ³ãƒ‰ã‚’調ã¹ã¦ãŸã‚Šã™ã‚‹ã€‚ 物覚ãˆãŒè‰¯ããªã„ã®ã§ã€ã‚³ã‚³ã‚’見れã°çµ¶å¯¾å¤§ä¸ˆå¤«ãªã‚ˆã†ã«ã—ã¦ãŠã“ã†ã¨æ€ã„ã€ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚ jupyterã§æœ€åˆã«é–‹ãã¨ãã«èªã¿è¾¼ã‚€ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ãŸã¡ datetime 日付⇔文å—列ã®å¤‰æ› datetimeã®è¶³ã—算引ãç®— json dict型⇔json jsonファイルã®å…¥å‡ºåŠ› datetimeã‚’jsonã«ã™ã‚‹æ™‚ã€ã‚¨ãƒ©ãƒ¼ãŒå‡ºã‚‹ pandas ～以外を表ã™ã‚„㤠andã¨or infå¼¾ã リストをdfã«ã‚µã‚¯ãƒƒã¨å¤‰æ› datetimeã¨ã—ã¦èªã¿è¾¼ã¿ èªã¿è¾¼ã¿æ™‚ã«codecã®ã‚¨ãƒ©ãƒ¼ãŒå‡ºã‚‹ DataFrameã®foræ–‡ numpy lins
Deep Learningã®å¦ç¿’ã®æ§˜åã‚’å¯è¦–化ã™ã‚‹ã€fastprogressãŒã™ã”ã良ã•ã’ - Qiita
from fastprogress import master_bar, progress_bar n_epochs = 20 # エãƒãƒƒã‚¯æ•° b_batches = 10 # 1エãƒãƒƒã‚¯ã‚ãŸã‚Šã®ãƒãƒƒãƒæ•° x_bounds = [0, n_epochs] # 表示ã•ã›ã‚‹å¦ç¿’曲線ã®å›³ã®x軸ã®ç¯„囲 y_bounds = [0, 1] # 表示ã•ã›ã‚‹å¦ç¿’曲線ã®å›³ã®y軸ã®ç¯„囲 mb = master_bar(range(n_epochs)) for i in mb: # エãƒãƒƒã‚¯ã«é–¢ã™ã‚‹ã‚¤ãƒ†ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ for j in progress_bar(range(n_batches), parent=mb): # ãƒãƒƒãƒã«é–¢ã™ã‚‹ã‚¤ãƒ†ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ # ãƒãƒƒãƒã”ã¨ã®å¦ç¿’処ç†ã‚’記述 train(x_batch, y_batch) graphs = ... # グラフã«é–¢ã™ã‚‹è¨å®š mb.update_graph(
Working with Jupyter Notebooks in Visual Studio Code
Version 1.93 is now available! Read about the new features and fixes from August. Jupyter Notebooks in VS Code Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook. Visual Studio Code supports working with Jupyter Notebooks natively, and through Python code files. This topic covers
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ã“ã®ã‚¨ãƒ³ãƒˆãƒªã¯å…¨9回を予定ã™ã‚‹18å’新人ブãƒã‚°ãƒªãƒ¬ãƒ¼ã®ç¬¬3回ã§ã™ï¼Ž ã¯ã˜ã‚ã¾ã—ã¦ï¼Žä»Šå¹´åº¦ã‚ˆã‚Šãƒªã‚¯ãƒ«ãƒ¼ãƒˆãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚ºã«å…¥ç¤¾ã—ãŸæ²³é‡Ž 晋ç–ã§ã™ï¼Ž 7月ã‹ã‚‰Qassãƒãƒ¼ãƒ ã«ã¦æ¤œç´¢ãƒã‚¸ãƒƒã‚¯ã®æ”¹å–„ã‚’è¡Œã£ã¦ã„ã¾ã™ï¼Ž Qassãƒãƒ¼ãƒ ã¯ï¼Œæ¤œç´¢åŸºç›¤ã®é‹ç”¨ã‚„検索ãƒã‚¸ãƒƒã‚¯ã®æ”¹å–„ã‚’è¡Œã£ã¦ã„ã‚‹ãƒãƒ¼ãƒ ã§ã™ï¼Ž 詳ã—ãã¯ä»¥ä¸‹ã®è¨˜äº‹ã‚’ã”覧ãã ã•ã„． 検索組織ã®æ©Ÿæ¢°å¦ç¿’実行基盤 リクルート全社検索基盤ã®ã‚¢ãƒ¼ã‚テクãƒãƒ£ã€æŽ¡ç”¨æŠ€è¡“ã€é–‹ç™ºä½“制ã¯ã©ã†ãªã£ã¦ã„ã‚‹ã®ã‹ Elasticsearch＋Hadoopベースã®å¤§è¦æ¨¡æ¤œç´¢åŸºç›¤å¤§è§£å‰– 本記事ã®æƒ³å®šèªè€…：普段Jupyter notebook・Jupyter Lab，Google Colaboratoryを使ã£ã¦ã„る方，ã¾ãŸã“ã‚Œã‹ã‚‰ä½¿ãŠã†ã¨è€ƒãˆã¦ã„ã‚‹æ–¹ 本記事ã®æ¦‚è¦ï¼šjupyter notebookã®çŸ¥è¦‹å…±æœ‰ ã¯ã˜ã‚ã« Jupyter notebookã¨ã¯ 近年，データã®é‡è¦æ€§ãŒæ§˜ã€…ãª
Jupyter Notebook - ãŠã™ã™ã‚ã® nbextensions ã¾ã¨ã‚ - Pynote
æ¦‚è¦ å…¥åŠ›è£œå®Œã€ã‚³ãƒ¼ãƒ‰ã®è‡ªå‹•æ•´å½¢ãªã© Jupyter Notebook ã®ãŠã™ã™ã‚ã® nbextensions を紹介ã™ã‚‹ã€‚ æ¦‚è¦ é–¢é€£è¨˜äº‹ テーマやフォントã®å¤‰æ›´ã«ã¤ã„㦠Notebook ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ–¹æ³•ã«ã¤ã„㦠試ã—ãŸç’°å¢ƒ å°Žå…¥ 次ã®2ã¤ã‚’インストールã™ã‚‹ã€‚ 有効ã«ã™ã‚‹ã€‚ è¨å®šç”»é¢ã«ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹ã€‚ ãŠã™ã™ã‚ã® nbextensions Toggle all line numbers (行番å·è¡¨ç¤ºã®åˆ‡ã‚Šæ›¿ãˆ) isort formatter (import æ–‡ã®è‡ªå‹•æ•´å½¢) Autopep8 (コードã®è‡ªå‹•æ•´å½¢) Live Markdown Preview (マークダウンã®ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ 表示) Codefolding (コードã®æŠ˜ã‚ŠãŸãŸã¿) ExecuteTime (実行時間表示) Hinterland (入力補完) Table of Contents (2) (目次自動作æˆ) Vari
Beyond Interactive: Notebook Innovation at Netflix
By Michelle Ufford, M Pacer, Matthew Seal, and Kyle Kelley Notebooks have rapidly grown in popularity among data scientists to become the de facto standard for quick prototyping and exploratory analysis. At Netflix, we’re pushing the boundaries even further, reimagining what a notebook can be, who can use it, and what they can do with it. And we’re making big investments to help make this vision a
Jupyter演習環境ã®æº–å‚™æ‰‹é † - ã‚ã‚‚ã‚ã‚‚
ã“ã®æ‰‹é †ã§ã¯ã€ãƒ¡ãƒ¢ãƒªãŒ4GB以上ã€CPUãŒ4コア以上ã®ç’°å¢ƒã‚’å‰æã¨ã—ã¦ã„ã¾ã™ã€‚ macOSを使用ã™ã‚‹å ´åˆ macOS用ã®DockerãŒå¯¾å¿œã—ã¦ã„ã‚‹ã®ã¯ã€Yosemite以é™ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã™ã€‚ã“ã“ã§ç´¹ä»‹ã™ã‚‹æ‰‹é †ã¯ã€El Captitanã§å‹•ä½œç¢ºèªã‚’ã—ã¦ã„ã¾ã™ã€‚ ã¯ã˜ã‚ã«ã€Dockerã®å…¬å¼Webサイトã‹ã‚‰ã€macOS用ã®Dockerをダウンãƒãƒ¼ãƒ‰ã—ã¾ã™ã€‚「Getting Started with Dockerã€ã®ãƒªãƒ³ã‚¯ã‹ã‚‰ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ãƒšãƒ¼ã‚¸ã‚’é–‹ã„ã¦ã€ã€ŒDownload Docker for Macã€ã‚’クリックã™ã‚‹ã¨ã€ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ©ãƒ¼ãƒ•ã‚¡ã‚¤ãƒ« Docker.dmgãŒãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã§ãã¾ã™ã€‚インストーラーを開ã„ã¦ã€DockerアイコンをApplicationsフォルダーã«ã‚³ãƒ”ーã—ãŸå¾Œã€Applicationsフォルダーã‹ã‚‰Dockerã‚’èµ·å‹•ã—ã¾ã™ã€‚åˆå›žã®èµ·å‹•æ™‚ã¯ã€ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«å‡¦ç†ã®ãƒãƒƒãƒ—アップãŒè¡¨ç¤º
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GitHub - kubeflow/fairing: Python SDK for building, training, and deploying ML models
pyconjp2018/slides.ipynb at master · drillan/pyconjp2018 · GitHub
GitHub - fastai/fastprogress: Simple and flexible progress bar for Jupyter Notebook and console
Introducing TraefikProxy, a new JupyterHub proxy based on Traefik
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