에 의해 게시 Rational Matter
1. 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.
2. 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.
3. Juno Connect lets you leverage the computing power of a remote Jupyter server right from your iPhone or iPad.
4. 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.
5. 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.
6. 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.
7. Juno Connect offers a full-featured notebook and code editor, providing a complete development environment on your iPad or iPhone.
8. Juno Connect lets you reach your Jupyter server easily and securely with SSH tunnel using local port forwarding.
9. Jupyter is an interactive cloud-based computational environment, where you can combine code execution, rich text, mathematics, plots and rich media.
10. 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.
11. 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.
또는 아래 가이드를 따라 PC에서 사용하십시오. :
PC 버전 선택:
설치하고 사용하고 싶다면 Juno Connect: Jupyter Client 앱을 PC 또는 Mac에 설치하려면 컴퓨터 용 데스크톱 응용 프로그램 에뮬레이터를 다운로드하여 설치해야합니다. 우리는 당신이 어떻게 사용하는지 이해할 수 있도록 열심히 일했습니다 app 아래의 네 단계를 거쳐 귀하의 컴퓨터에서 사용할 수 있습니다 :
확인. 먼저 첫 번째 것들. 컴퓨터에서 응용 프로그램을 사용하려면 먼저 Mac 저장소 또는 Windows 응용 프로그램 저장소를 방문하여 Bluestacks 응용 프로그램이나 Nox App 을 클릭하십시오. 웹에있는 대부분의 자습서는 Bluestacks 응용 프로그램을 권장하며 컴퓨터에서 Bluestacks 응용 프로그램을 사용하는 데 어려움이있을 경우 쉽게 온라인 솔루션을 쉽게 찾을 수 있기 때문에 Bluestacks 응용 프로그램을 권장합니다. Bluestacks Pc 또는 Mac 소프트웨어 여기 를 다운로드 할 수 있습니다.
설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 일단 찾았 으면 Juno Connect: Jupyter Client 검색 막대에서 검색을 누릅니다. 클릭 Juno Connect: Jupyter Client응용 프로그램 아이콘. 의 창 Juno Connect: Jupyter Client Play 스토어 또는 앱 스토어의 스토어가 열리면 에뮬레이터 애플리케이션에 스토어가 표시됩니다. Install 버튼을 누르면 iPhone 또는 Android 기기 에서처럼 애플리케이션이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
"모든 앱 "아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 아이콘을 클릭하십시오. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.
PC 용 호환 APK 받기
다운로드 | 개발자 | 평점 | 점수 | 현재 버전 | 호환성 |
---|---|---|---|---|---|
APK 확인 → | Rational Matter | 113 | 4.61062 | 1.6.13 | 17+ |
보너스 : 다운로드 Juno Connect iTunes에서
다운로드 | 개발자 | 평점 | 점수 | 현재 버전 | 성인 랭킹 |
---|---|---|---|---|---|
₩12,000 iTunes에서 | Rational Matter | 113 | 4.61062 | 1.6.13 | 17+ |
Windows 11에서 모바일 앱을 사용하려면 Amazon Appstore를 설치해야 합니다. 설정이 완료되면 선별된 카탈로그에서 모바일 앱을 검색하고 설치할 수 있습니다. Windows 11에서 Android 앱을 실행하려는 경우 이 가이드가 적합합니다..
Juno Connect is a client app for Jupyter, a cloud-based computational environment. Juno Connect lets you leverage the computing power of a remote Jupyter server right from your iPhone or iPad. 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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