python-type-hints-cheetsheet | Contains a set of tips and tricks for python annotations | Data Labeling library

 by   vyahello Python Version: Current License: MIT

kandi X-RAY | python-type-hints-cheetsheet Summary

kandi X-RAY | python-type-hints-cheetsheet Summary

python-type-hints-cheetsheet is a Python library typically used in Artificial Intelligence, Data Labeling applications. python-type-hints-cheetsheet 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.

📚 Contains a set of tips and tricks for python annotations
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              python-type-hints-cheetsheet has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-type-hints-cheetsheet is current.

            kandi-Quality Quality

              python-type-hints-cheetsheet has no bugs reported.

            kandi-Security Security

              python-type-hints-cheetsheet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              python-type-hints-cheetsheet 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

              python-type-hints-cheetsheet 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 python-type-hints-cheetsheet and discovered the below as its top functions. This is intended to give you an instant insight into python-type-hints-cheetsheet implemented functionality, and help decide if they suit your requirements.
            • Initialize the heap .
            • Say hello to all given names .
            • Say hello message .
            • Calculates the sum of a callable .
            • Count the number of elements in container .
            • Print the current method .
            • Return the content of the table .
            • This function is used for debugging .
            • Return length of param .
            • Return the book title .
            Get all kandi verified functions for this library.

            python-type-hints-cheetsheet Key Features

            No Key Features are available at this moment for python-type-hints-cheetsheet.

            python-type-hints-cheetsheet Examples and Code Snippets

            No Code Snippets are available at this moment for python-type-hints-cheetsheet.

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install python-type-hints-cheetsheet

            You can download it from GitHub.
            You can use python-type-hints-cheetsheet 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.

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            git@github.com:vyahello/python-type-hints-cheetsheet.git

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