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| 开发人员: | Rational Matter (3) | ||
| 价格: | $4.99 | ||
| 排名: | 0 | ||
| 评论: | 0 发表评论 | ||
| 列表: | 3 + 1 | ||
| 积分: | 2 + 631 (4.6) ¡ | ||
| App Store | |||
说明
With Juno Connect you can:
• Connect to cloud-computing services, such as CoCalc, Binder, SageMaker, Gradient or NAAS
• Add and configure your own remote Jupyter servers
• Leverage SSH tunneling with local port forwarding for secure connections
• Take full advantage of your keyboard and trackpad in our full-featured code editor
• Utilise full multitasking capabilities on iPad
When you run code in Juno Connect, the actual computing is happening on a remote Jupyter server, giving you access to virtually unlimited computational resources from your iPhone or iPad. You can either connect to your own Jupyter server — directly via HTTP/HTTPS, or by establishing an SSH tunnel with local port forwarding — or use cloud computing services, such as CoCalc, Binder, SageMaker, Gradient or NAAS. And if you would rather execute code on device instead, check out our other app Juno, it lets you work with Jupyter notebooks autonomously on your iPhone or iPad.
Juno Connect offers a full-featured notebook and code editor, providing a complete development environment on your iPad or iPhone. it supports Dark Mode and Dynamic Type, offers extended on-screen keyboard and works beautifully with all hardware keyboards and trackpads. Juno Connect lets you reach your Jupyter server easily and securely with SSH tunnel using local port forwarding. You can launch Juno Connect in Split-screen mode alongside other apps on iPad — run notebooks with documentation, terminal, or other code editor in front of you.
WHAT IS JUPYTER?
Jupyter is an interactive cloud-based computational environment, where you can combine code execution, rich text, mathematics, plots and rich media. It works with Jupyter notebooks, a computational document format that allows storing live code, markdown text, plots, images and equations in LaTeX — all wrapped into a single notebook file.
Notebook documents keep record of all inputs and outputs of the interactive programming session, and the rich output generated by running R, Python or Julia scripts (including HTML, images, video, and plots) is embedded into the Jupyter notebook document. They are especially convenient if you are coding in Python for data analysis, machine learning, or computational science in general.
A notebook consists of a sequence of cells, each representing either a narrative text in a form of markdown text or HTML, or a coding script with a text or media output. This makes notebooks both human-readable documents with the analysis description and the results (figures, tables, etc), as well as executable scripts for data analysis or plain programming. You can use Jupyter notebook as a document with optional executable code in it, or simply as a programming playground for data manipulation and experiments.
Jupyter supports countless programming languages, including Python, R, Julia, and Scala. Jupyter lets you leverage big data tools, such as Apache Spark, from Python, R, and Scala — or explore that same data with pandas, scikit-learn, ggplot2, PyTorch and TensorFlow. And, of course, Juno Connect lets you use whichever language kernels and libraries are installed on your Jupyter server right on your iPhone or iPad.
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价格历史
- 目前价格: $4.99
- 最小值: 免费
- 最大值: $9.99
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其他信息
- 发布日期:
- 类别:
iOS 应用›软件开发工具 - 操作系统:
iPad,iPhone,iOS 13.0 及更高版本 - 大小:
15 Mb - 支持的语言:
English - 内容分级:
17+ - App Store 评分:
4.6(631) - 站点:
https://juno.sh
开发人员
- Rational Matter
- 平台: iOS 应用 (3)
- 列表: 5 + 7
- 积分: 9 + 2,235 ¡
- 排名: 0
- 评论: 0
- 折扣: 0
- 视频: 0
- RSS: 订阅
列表 (3)
- Juno Connect: Jupyter Client
积分 (2)
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- 512 expat4i
- +1
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- 312 Mifune Mika
- +1
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«Juno Connect: Jupyter Client». 平台: iOS. 类别: 软件开发工具. 开发商: «Rational Matter». 首次发布: . 最后更新: . 目前价格: $4.99. 最低记录价格: $0.00 (). 最高记录价格: $9.99 (). 该条目尚未在 AppAgg 上获得评分或评论。 列表: 公开: 3, 私密: 1. 追踪点: 已确认: 2, 间接: 631. 商店: App Store. 店铺评价: 4.6. 投票数: 631. 可用语言: English. AppAgg 会跟踪 «Juno Connect: Jupyter Client»的价格历史、评分和用户反馈。 关注未来折扣和更新: RSS. AppAgg 不托管应用程序或分发软件。 所有商标、徽标和屏幕截图均属于其各自所有者。
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