read_docs | Machine Learning library

 by   enasequence Python Version: Current License: Apache-2.0

kandi X-RAY | read_docs Summary

kandi X-RAY | read_docs Summary

read_docs is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. read_docs has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

ENA training modules are written and published using Read The Docs and are available here:.
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              read_docs has a low active ecosystem.
              It has 10 star(s) with 23 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 13 open issues and 13 have been closed. On average issues are closed in 358 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of read_docs is current.

            kandi-Quality Quality

              read_docs has no bugs reported.

            kandi-Security Security

              read_docs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              read_docs is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              read_docs 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.

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            read_docs Key Features

            No Key Features are available at this moment for read_docs.

            read_docs Examples and Code Snippets

            No Code Snippets are available at this moment for read_docs.

            Community Discussions

            QUESTION

            Print specific names from two .txt files
            Asked 2018-Nov-19 at 11:47

            the following problem was coming up during my homework. First of all the code:

            ...

            ANSWER

            Answered 2018-Nov-19 at 11:47

            You have the printing part down. What is missing is to identify the elements in the both lists which fulfill your current requirement. What can help you are list comprehensions, with which you can build the new lists.

            Source https://stackoverflow.com/questions/53371326

            QUESTION

            Python 3.6: can't concat str to bytes
            Asked 2018-Oct-28 at 13:25

            I have a problem in reading text files in python 3.6.3.

            The code is given below:

            ...

            ANSWER

            Answered 2018-Oct-28 at 13:25

            Try change file mode to "rb" like this open(var, 'rb', encoding='utf-8'). File mode "rb" returns bytes. File mode "r" returns string.

            Check documentation about this function here: https://docs.python.org/3.6/library/functions.html#open

            Source https://stackoverflow.com/questions/53031723

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

            Vulnerabilities

            No vulnerabilities reported

            Install read_docs

            You can download it from GitHub.
            You can use read_docs 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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            CLONE
          • HTTPS

            https://github.com/enasequence/read_docs.git

          • CLI

            gh repo clone enasequence/read_docs

          • sshUrl

            git@github.com:enasequence/read_docs.git

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