nbscan | Jupyter Notebook Utility | Code Editor library

 by   conery Python Version: Current License: Non-SPDX

kandi X-RAY | nbscan Summary

kandi X-RAY | nbscan Summary

nbscan is a Python library typically used in Editor, Code Editor, Jupyter applications. nbscan has no bugs, it has no vulnerabilities, it has build file available and it has low support. However nbscan has a Non-SPDX License. You can download it from GitHub.

nbscan.py is a Python script that will search for and print contents of cells in Jupyter notebooks. The script was written to search through notebooks managed by the nbgrader pipline (but will work for any Jupyter notebooks. Cells can be filtered by type (code or markdown), by nbgrader tag ID, or by those that match a regular expression. Specify files to scan by name or recursively search a directory to find notebooks.
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            kandi-support Support

              nbscan has a low active ecosystem.
              It has 19 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of nbscan is current.

            kandi-Quality Quality

              nbscan has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              nbscan 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

              nbscan releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nbscan and discovered the below as its top functions. This is intended to give you an instant insight into nbscan implemented functionality, and help decide if they suit your requirements.
            • Scans a list of files .
            • Build the file list .
            • Initialize API .
            Get all kandi verified functions for this library.

            nbscan Key Features

            No Key Features are available at this moment for nbscan.

            nbscan Examples and Code Snippets

            No Code Snippets are available at this moment for nbscan.

            Community Discussions

            Trending Discussions on nbscan

            QUESTION

            speed up loop in matlab
            Asked 2021-Jun-15 at 11:25

            I'm very new in MATLAB (this is my first script). I wonder how may I speed up this loop, I don't know any toolbox or 'tricks' as I'm a newbie on it. I tried to code it with instinct, it works, but it is really long.

            All are variables get with fread or integer manually entered, so this is basically simple math, but I have no clue on why is it so long (maybe nested loops ?) and how to improve, as I am more familiar with Python and for example multiprocess.

            Thanks a lot

            ...

            ANSWER

            Answered 2021-Jun-15 at 07:30

            You have one issue with the given code. The blow line:

            Source https://stackoverflow.com/questions/67975707

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

            Vulnerabilities

            No vulnerabilities reported

            Install nbscan

            You can download it from GitHub.
            You can use nbscan like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/conery/nbscan.git

          • CLI

            gh repo clone conery/nbscan

          • sshUrl

            git@github.com:conery/nbscan.git

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