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Jupyter magics and kernels for working with remote Spark clusters
Sparkmagic is a set of tools for interactively working with remote Spark clusters in Jupyter notebooks. Sparkmagic interacts with remote Spark clusters through a REST server. Automatic visualization of SQL queries in the PySpark, Spark and SparkR kernels; use an easy visual interface to interactively construct visualizations, no code required. Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib). Send local files or dataframes to a remote cluster (e.g. sending pretrained local ML model straight to the Spark cluster) Authenticate to Livy via Basic Access authentication or via Kerberos.
...ArchMint projesi, 2016 yılında tüm geliştiricilerin ayrılması ile birlikte askıya alınmıştır. 2017 - 2020 yılları arasında eski geliştiriciler birkaç sürüm yayınlamış fakat devamı gelmemiştir.
ArchMint paket deposu hala günceldir ve Arch Linux içinde kullanılabilir.
[archmint]
SigLevel = Never
Server = https://sourceforge.net/projects/archmint/files/repo/$arch