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python3-dataclasses-0.8-1.lbn36.noarch
This is an implementation of PEP 557, Data Classes. It is a backport for Python 3.6. Because dataclasses will be included in Python 3.7, any discussion of dataclass features should occur on the python-dev mailing list at At this point this repo should only be used for historical purposes (it's where the original dataclasses discussions took place) and for discussion of the actual backport to...
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python3-dataclasses-json-0.6.4-1.lbn36.noarch
Dataclasses JSON![]( library provides a simple API for encoding and decoding [dataclasses]( to and from JSON.It's very easy to get started.[README / Documentation website]( Features a navigation bar and search functionality, and should mirror this README exactly -- take a look! Quickstartpip install dataclasses-jsonpython from dataclasses import dataclass from dataclasses_json import...
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python3-datadog-0.30.0-1.lbn25.noarch
The Datadog Python library [![Build Status]( [![Documentation Status]( [![PyPI - Version]( [![PyPI - Downloads]( is a collection of tools suitable for inclusion in existing Python projects or for development of standalone scripts. It provides an abstraction on top of Datadog's raw HTTP interface and the Agent's StatsD metrics aggregation server, to interact with Datadog and efficiently report...
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python3-datadog-0.44.0-1.fc36.noarch
Datadogpy is a collection of tools suitable for inclusion in existing Python projects or for development of standalone scripts. It provides an abstraction on top of Datadog's raw HTTP interface and the Agent's StatsD metrics aggregation server, to interact with Datadog and efficiently report events and metrics.
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python3-dataflake-cache-2.0-1.lbn36.noarch
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python3-dataflake-cache-2.0-1.lbn36.noarch
:target:
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python3-dataflake-fakeldap-3.0-1.lbn36.noarch
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python3-dataflake-fakeldap-3.0-1.lbn36.noarch
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python3-datapackage-1.15.2-1.lbn36.noarch
datapackage-py[![Travis]( [![Coveralls]( [![PyPi]( [![Github]( [![Gitter](
Located in LBN / … / Data Science / BastionLinux 36
python3-datasets-3.6.0-1.lbn36.noarch
🤗 Datasets is a lightweight library providing two main features: one-line dataloaders for many public datasets: one-liners to download and pre-process any of the major public datasets (image datasets, audio datasets, text datasets in 467 languages and dialects, etc.) provided on the HuggingFace Datasets Hub. With a simple command like squad_dataset = load_dataset("rajpurkar/squad"), get any of these datasets ready to use in a dataloader for training/evaluating a ML model (Numpy/Pandas/PyTorch/TensorFlow/JAX), efficient data pre-processing: simple, fast and reproducible data pre-processing for the public datasets as well as your own local datasets in CSV, JSON, text, PNG, JPEG, WAV, MP3, Parquet, etc. With simple commands like processed_dataset = dataset.map(process_example), efficiently prepare the dataset for inspection and ML model evaluation and training. 🎓 Documentation 🔎 Find a dataset in the Hub 🌟 Share a dataset on the Hub 🤗 Datasets is designed to let the community easily
Located in LBN / … / Data Science / BastionLinux 36

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