Télécharger l'APK compatible pour PC
Télécharger pour Android | Développeur | Rating | Score | Version actuelle | Classement des adultes |
---|---|---|---|---|---|
↓ Télécharger pour Android | Rational Matter | 64 | 4.70313 | 1.6.13 | 17+ |
Rechercher des applications PC compatibles ou des alternatives
Logiciel | Télécharger | Rating | Développeur |
---|---|---|---|
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Obtenez l'app PC | 4.70313/5 64 la revue 4.70313 |
Rational Matter |
En 4 étapes, je vais vous montrer comment télécharger et installer Juno Connect: Jupyter Client sur votre ordinateur :
Un émulateur imite/émule un appareil Android sur votre PC Windows, ce qui facilite l'installation d'applications Android sur votre ordinateur. Pour commencer, vous pouvez choisir l'un des émulateurs populaires ci-dessous:
Windowsapp.fr recommande Bluestacks - un émulateur très populaire avec des tutoriels d'aide en ligneSi Bluestacks.exe ou Nox.exe a été téléchargé avec succès, accédez au dossier "Téléchargements" sur votre ordinateur ou n'importe où l'ordinateur stocke les fichiers téléchargés.
Lorsque l'émulateur est installé, ouvrez l'application et saisissez Juno Connect: Jupyter Client dans la barre de recherche ; puis appuyez sur rechercher. Vous verrez facilement l'application que vous venez de rechercher. Clique dessus. Il affichera Juno Connect: Jupyter Client dans votre logiciel émulateur. Appuyez sur le bouton "installer" et l'application commencera à s'installer.
Juno Connect: Jupyter Client Sur iTunes
Télécharger | Développeur | Rating | Score | Version actuelle | Classement des adultes |
---|---|---|---|---|---|
5,99 € Sur iTunes | Rational Matter | 64 | 4.70313 | 1.6.13 | 17+ |
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. 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. Juno Connect lets you leverage the computing power of a remote Jupyter server right from your iPhone or iPad. 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. 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. 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. Juno Connect lets you reach your Jupyter server easily and securely with SSH tunnel using local port forwarding. Jupyter is an interactive cloud-based computational environment, where you can combine code execution, rich text, mathematics, plots and rich media. 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. 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. 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 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. Juno Connect is a client app for Jupyter, a cloud-based computational environment. 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. Jupyter supports countless programming languages, including Python, R, Julia, and Scala. 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. They are especially convenient if you are coding in Python for data analysis, machine learning, or computational science in general. it supports Dark Mode and Dynamic Type, offers extended on-screen keyboard and works beautifully with all hardware keyboards and trackpads.