zappy | Distributed processing with NumPy and Zarr

 by   lasersonlab Python Version: 0.2.0 License: Apache-2.0

kandi X-RAY | zappy Summary

kandi X-RAY | zappy Summary

zappy is a Python library typically used in Big Data, Numpy, Spark applications. zappy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install zappy' or download it from GitHub, PyPI.

Zappy is for distributed processing of chunked NumPy arrays on engines like Pywren, Apache Spark, and Apache Beam. The zappy.base module defines a ZappyArray class that exposes the same interface as numpy.ndarray, and which is backed by distributed storage and processing. The array is broken into chunks, and is typically loaded from Zarr, and each chunk is processed independently.
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            kandi-support Support

              zappy has a low active ecosystem.
              It has 8 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              zappy has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of zappy is 0.2.0

            kandi-Quality Quality

              zappy has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              zappy 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

              zappy releases are not available. You will need to build from source code and install.
              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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed zappy and discovered the below as its top functions. This is intended to give you an instant insight into zappy implemented functionality, and help decide if they suit your requirements.
            • Re - partition the given chunks
            • Adds a partitioned input
            • Calculate partition boundary boundaries
            • Map a function over the given iterables
            • Calculate the mean
            • Create a new object
            • Generate a symbol name
            • Write this array to a gcs file
            • Re - partition the data
            • Calculate the distributed function for a given axis
            • Compute the distribution of boolean array index
            • Return a new RDD with the same shape
            • Compute the distribution of a boolean array
            • Create a subset of a row
            • Write this chunk to a zarr array
            • Return a subset of columns
            • Calculate the function for each input axis
            • Convert a list of futures to a pandas DataFrame
            • Return a pandas dataframe with time taken
            • Calculate the mean of each column
            • Plot a matplotlib plot of jobs
            • Re - partition the chunks
            • Create a subset of the array
            • Calculate the mean across all columns
            • Compute the distance between a boolean array
            • Compute the partitions of the pipeline
            Get all kandi verified functions for this library.

            zappy Key Features

            No Key Features are available at this moment for zappy.

            zappy Examples and Code Snippets

            Zappy - distributed processing with NumPy and Zarr,Testing
            Pythondot img1Lines of Code : 7dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            pip install tox
            tox
            
            pip install black
            black zappy tests/* *.py
            
            pip install pytest-cov
            pytest --cov-report html --cov=zappy
            open htmlcov/index.html
              
            Zappy - distributed processing with NumPy and Zarr,Demo
            Pythondot img2Lines of Code : 6dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            python3 -m venv venv
            . venv/bin/activate
            pip install -r requirements.txt
            pip install -e .
            pip install s3fs jupyter
            
            jupyter notebook demo.ipynb
              
            Zappy - distributed processing with NumPy and Zarr,Publishing
            Pythondot img3Lines of Code : 3dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            pip install twine
            python setup.py sdist
            twine upload -r pypi dist/zappy-0.1.0.tar.gz
              

            Community Discussions

            QUESTION

            ReactJs: browse state element with map, TypeError: Cannot read property 'map' of undefined?
            Asked 2020-Jul-02 at 19:38

            I'm actually learning reacts. and I meet this error when I try to loop over my DB, so to fix the problem I try to create an array and add some information in, but the problem is already there, can anyone help me please ?

            this is the code:

            ...

            ANSWER

            Answered 2020-Jul-02 at 19:30

            Your items are an object not an array. Change items: { ...} to items: [...].

            Also you access state via this.state.items.

            Source https://stackoverflow.com/questions/62703586

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

            Vulnerabilities

            No vulnerabilities reported

            Install zappy

            Alternatively, zappy can be installed using Conda (most easily obtained via the Miniconda Python distribution):.

            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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            Install
          • PyPI

            pip install zappy

          • CLONE
          • HTTPS

            https://github.com/lasersonlab/zappy.git

          • CLI

            gh repo clone lasersonlab/zappy

          • sshUrl

            git@github.com:lasersonlab/zappy.git

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