spacy-course | 👩‍🏫 Advanced NLP with spaCy : A free online course

 by   explosion Python Version: Current License: MIT

kandi X-RAY | spacy-course Summary

kandi X-RAY | spacy-course Summary

spacy-course is a Python library. spacy-course has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However spacy-course build file is not available. You can download it from GitHub.

‍ Advanced NLP with spaCy: A free online course

            kandi-support Support

              spacy-course has a medium active ecosystem.
              It has 2139 star(s) with 358 fork(s). There are 64 watchers for this library.
              It had no major release in the last 6 months.
              There are 10 open issues and 29 have been closed. On average issues are closed in 34 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spacy-course is current.

            kandi-Quality Quality

              spacy-course has no bugs reported.

            kandi-Security Security

              spacy-course has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              spacy-course is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spacy-course releases are not available. You will need to build from source code and install.
              spacy-course has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

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            spacy-course Key Features

            No Key Features are available at this moment for spacy-course.

            spacy-course Examples and Code Snippets

            No Code Snippets are available at this moment for spacy-course.

            Community Discussions

            No Community Discussions are available at this moment for spacy-course.Refer to stack overflow page for discussions.

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


            No vulnerabilities reported

            Install spacy-course

            The requirements.txt in the repository defines the packages that are installed when building it with Binder. For this course, I'm using the source repo as the Binder repo, as it allows to keep everything in one place. It also lets the exercises reference and load other files (e.g. JSON), which will be copied over into the Python environment. I build the binder from a branch binder, though, which I only update if Binder-relevant files change. Otherwise, every update to master would trigger an image rebuild. You can specify the binder settings like repo, branch and kernel type in the "juniper" section of the meta.json. I'd recommend running the very first build via the interface on the Binder website, as this gives you a detailed build log and feedback on whether everything worked as expected. Enter your repository URL, click "launch" and wait for it to install the dependencies and build the image.


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