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  1. Using the Notebook ¶. When the Notebook is installed, it will be available under the menu item View ‣ Panes ‣ Notebook. You will see it then as a tab in the bottom of the editor area. When switching to it, a welcome screen will be displayed, from where you can create a new notebook by right-clicking it and selecting New notebook.

  2. Supported features¶. Any IPython Console, whether external or started by Spyder, supports:. Automatic code completion. Real-time function calltips. Full GUI integration with the enhanced Spyder Debugger.. The Variable Explorer, with GUI-based editors for many built-in and third-party Python objects.. Display of Matplotlib graphics in Spyder’s Plots pane, if the Inline backend is selected ...

  3. Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a ...

  4. Code, collaborate, compile, run, share, and deploy Python and more online from your browser. Sign up to code in Python Explore Multiplayer >_ Collaborate in real-time with your friends

  5. 4 de ene. de 2021 · Spyder is an IDE aimed at mainly scientific researchers, data analysts, or those involved in scientific package creation. Spyder’s developers have designed it to be the ideal tool for developing ...

  6. www.anaconda.com › products › cloud-suiteCloud Suite | Anaconda

    Our data catalog service makes finding and loading data sets easy.. Panel, an open-source Python tool developed and maintained by Anaconda, now seamlessly integrates with Anaconda’s cloud notebook service, providing users the ability to effortlessly share notebook results and make them readily accessible to others.

  7. The Online Help’s home shows an index where you can browse the documentation of standard library modules, third party packages installed in your Python environment, and your own local code. Click on the name of any module to open its documentation. Enter the name of the item you’d like help on in the Package field to load its documentation ...