Python IDE & Jupyter vs Tensor Camera

Zero-setup Python IDE that runs your code offline, an AI coding assistant, and a developer toolbox — in a first-class citizen app for iPad and iPhone. Juno is designed to cover all your Python coding needs, supporting both Python scripts (.py) and Jupyter notebooks (.ipynb) — a document format focused on applying Python to data analysis and computational science. FREE FEATURES - Navigate and manage files and folders, quickly preview documents and media - Browse and edit Jupyter notebooks in a powerful, customizable notebook editor with beautifully rendered previews — editing is free - Write and edit code sources, scripts, JSON, XML, and other text-based formats — one versatile editor for code and text alike, with syntax highlighting - Add quick access bookmarks for file system locations outside the app's sandbox, or simply open documents in place PRO FEATURES Only one thing in Juno is Pro: running code. Even that is free to try — a generous trial allowance lets you run notebooks, scripts, projects, and the REPL before you buy. After the trial, running code unlocks with a one-time Pro purchase — not a subscription. - Run Jupyter notebooks, Python scripts, and whole projects locally with the built-in Python 3.13 interpreter and a full suite of up-to-date, preinstalled scientific and data packages — entirely offline - Explore interactively in a Python REPL — open a standalone prompt, or drop into it after running a script or project to keep exploring what it defined - Search the variables, functions, and imports in your session with the Object Inspector — no need to print each one - Open any folder as a project: file tree, multiple editor tabs, run any script, with a coding assistant aware of the whole project - Keep side outputs — Preview, Browser, Console, Object Inspector — open as side-by-side tabs in an output sidebar - View local web servers and HTML your code produces in a built-in browser with developer debug tools - Long-running scripts and Jupyter sessions keep going in the background - Automate with Shortcuts and Siri: App Intents run a Python file, run Python code, or open a file — pass arguments and files, capture output, and chain actions - Leverage powerful data analysis, machine learning and developer tools: NumPy, pandas, Polars, DuckDB, Matplotlib, SciPy, Scikit-learn, OpenCV, pygame, and more - Enjoy painless package management: install any pure Python package with an intuitive package manager AI CODING ASSISTANT The assistant runs on your account or your key, not ours: sign in with your account or add your OpenAI, Anthropic, or Gemini API key, and requests go straight from your device to your provider. You control what you spend and share — Juno never takes a cut. GAMES AND EMULATORS pygame is built in: write games with touch controls, sound, and full-screen graphics, and play them on your device. Eight complete games ship as examples, alongside NES, Game Boy, and CHIP-8 emulators written in Python, each with a library of freely licensed homebrew games — play them, then open the code to see how they work. PYTHON MEETS iOS Reach native iOS APIs straight from Python with the built-in juno modules: clipboard, Keychain, device info, location, motion sensors, contacts, reminders, photos, sound, notifications, sharing, and Bluetooth. Show native alerts and pickers, present full-screen image, video, and web previews, or call into UIKit, Foundation, and any Objective-C framework via the Objective-C bridge. SCRIPTS AND NOTEBOOKS Python scripts (.py) get snappy, intelligent code completion, a console with a full terminal emulator, and a built-in media viewer for code-generated images, plots, and web apps. Jupyter notebooks (.ipynb) keep live code, markdown text, plots, images, and LaTeX equations in one file, with every output embedded right in the document — a perfect playground for data analysis and computational science.

Introducing our innovative Tensor Camera App, designed to streamline the process of testing and evaluating newly trained models in real-world scenarios. Our app seamlessly integrates with Python servers, providing a user-friendly interface to send camera feeds for instant predictions. Real-time Camera Feed: Capture live camera feeds directly within the app for immediate processing by your Computer Vision models. Whether you're testing object detection, image classification, or any other task, our app delivers real-time results. Python Server Integration: Connect effortlessly with Python servers to leverage the power of your trained models. Our app sends captured images to the server for prediction, ensuring smooth communication and seamless testing. Prediction Display: Receive predictions in real-time, displayed within the app interface. Visualize the model's output directly on your device screen, allowing for quick validation and analysis of results. User-Friendly Interface: Enjoy a seamless user experience with our intuitive and easy-to-navigate interface. Whether you're a seasoned developer or new to Computer Vision testing, our app makes the process accessible to all skill levels. Steps to Use: -Download and install the app from the respective app store on your device. -Go to my GitHub Repository from the App and learn how to set up the server. -Launch the app and configure settings such as server connection details and model selection. -Position your camera to capture the desired scene or object for testing. -Initiate the camera feed within the app and observe real-time predictions generated by your Computer Vision model. -Analyze and evaluate the model's performance based on the displayed predictions. -Optionally, adjust settings or switch to a different model for further testing. Experience the future of Computer Vision testing with our cutting-edge app. Whether you're a researcher, developer, or enthusiast, our app empowers you to test and iterate on your models with ease and efficiency.