spyder-notebook | Jupyter notebook integration with Spyder | Code Editor library

 by   spyder-ide Python Version: 0.5.1 License: Non-SPDX

kandi X-RAY | spyder-notebook Summary

kandi X-RAY | spyder-notebook Summary

spyder-notebook is a Python library typically used in Editor, Code Editor, Jupyter applications. spyder-notebook has no bugs, it has no vulnerabilities, it has build file available and it has low support. However spyder-notebook has a Non-SPDX License. You can install using 'pip install spyder-notebook' or download it from GitHub, PyPI.

Jupyter notebook integration with Spyder
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            kandi-support Support

              spyder-notebook has a low active ecosystem.
              It has 453 star(s) with 114 fork(s). There are 37 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 41 open issues and 251 have been closed. On average issues are closed in 304 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of spyder-notebook is 0.5.1

            kandi-Quality Quality

              spyder-notebook has 0 bugs and 0 code smells.

            kandi-Security Security

              spyder-notebook has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              spyder-notebook code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spyder-notebook has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              spyder-notebook releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 3022 lines of code, 153 functions and 32 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spyder-notebook and discovered the below as its top functions. This is intended to give you an instant insight into spyder-notebook implemented functionality, and help decide if they suit your requirements.
            • Setup the menu
            • Add token to url
            • Shuts down the kernel
            • Closes a notebook
            • Refreshes the data
            • Select process edit
            • Runs lpm install
            • Run a command
            • Close all open notebooks
            • Shutdown all server servers
            • Check if the server has timeout
            • Show kernel error page
            • Handle selection selection
            • Updates the actions in the current tabwidget
            • Get the version number
            • Show loading
            • Set the software rendering
            • Open an IPython console
            • Example demo
            • Open a notebook
            • Show blank page
            • Sets the value of an input selector
            • Handle server started
            • Handle switch mode
            Get all kandi verified functions for this library.

            spyder-notebook Key Features

            No Key Features are available at this moment for spyder-notebook.

            spyder-notebook Examples and Code Snippets

            No Code Snippets are available at this moment for spyder-notebook.

            Community Discussions

            QUESTION

            Why can't I see spyder-terminal after installing plugin using pip (Windows 10)?
            Asked 2020-Dec-23 at 17:00

            I am using Python 3.9.0 and Spyder 4.2.0 on Windows 10 (x64) machine. Via official repo, I installed the spyder-terminal plugin using pip. It installed successfully. After installation, when I open the Spyder IDE, I can't see the terminal. I tried digging into View>Panes and also under Preferences, but couldn't see any hints towards enabling/checking the spyder-terminal?

            Did someone come across the same issue and has a workaround to suggest? Am I missing some dependencies?

            Here is the output of pip list:

            ...

            ANSWER

            Answered 2020-Dec-20 at 20:18

            Click on View => Pane => IPython Console. Ipython console should open up at the bottom right corner

            Source https://stackoverflow.com/questions/65384075

            QUESTION

            How can I improve the performance of my script?
            Asked 2020-Feb-27 at 18:33

            I have a "seed" GeoDataFrame (GDF)(RED) which contains a 0.5 arc minutes global grid ((180*2)*(360*2) = 259200). Each cell contains an absolute population estimate. In addition, I have a "leech" GDF (GREEN) with roughly 8250 adjoining non-regular shapes of various sizes (watersheds).

            I wrote a script to allocate the population estimates to the geometries in the leech GDF based on the overlapping area between grid cells (seed GDF) and the geometries in the leech GDF. The script works perfectly fine for my sample data (see below). However, once I run it on my actual data, it is very slow. I ran it overnight and the next morning only 27% of the calculations had been performed. I will have to run this script many times and waiting for two days each time, is simply not an option.

            After doing a bit of literature research, I already replaced (?) for loops with for index i in df.iterrows() (or is this the same as "conventional" python for loops) but it didn't bring about the performance imporvement I had hoped for.

            Any suggestion son how I can speed up my code? In twelve hours, my script only processed only ~30000 rows out of ~200000.

            My expected output is the column leech_df['leeched_values'].

            ...

            ANSWER

            Answered 2020-Feb-27 at 18:33
            Introduction

            It might be worthy to profile your code in details to get precise insights of what is your bottleneck.

            Bellow some advises to already improve your script performance:

            Eg. this line:

            Source https://stackoverflow.com/questions/60338228

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install spyder-notebook

            To install this plugin, you can use either pip or conda package managers, as follows:.

            Support

            See the Contributing Guide for information on how to contribute to the Spyder notebook plugin, including instructions for setting up a development environment.
            Find more information at:

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            Install
          • PyPI

            pip install spyder-notebook

          • CLONE
          • HTTPS

            https://github.com/spyder-ide/spyder-notebook.git

          • CLI

            gh repo clone spyder-ide/spyder-notebook

          • sshUrl

            git@github.com:spyder-ide/spyder-notebook.git

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