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bothersome    音标拼音: [b'ɑðɚsəm]
a. 讨厌的

讨厌的

bothersome
adj 1: causing irritation or annoyance; "tapping an annoying
rhythm on his glass with his fork"; "aircraft noise is
particularly bothersome near the airport"; "found it
galling to have to ask permission"; "an irritating
delay"; "nettlesome paperwork"; "a pesky mosquito";
"swarms of pestering gnats"; "a plaguey newfangled safety
catch"; "a teasing and persistent thought annoyed him";
"a vexatious child"; "it is vexing to have to admit you
are wrong" [synonym: {annoying}, {bothersome}, {galling},
{irritating}, {nettlesome}, {pesky}, {pestering},
{pestiferous}, {plaguy}, {plaguey}, {teasing},
{vexatious}, {vexing}]

Bothersome \Both"er*some\, a.
Vexatious; causing bother; causing trouble or perplexity;
troublesome.
[1913 Webster]


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  • Spark - English Language Platform | National Geographic Learning
    Spark is our all-in-one platform of integrated digital tools, supporting every stage of teaching and learning English with National Geographic Learning
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    Spark provides native bindings for the Java, Scala, Python, and R programming languages In addition, it includes several libraries to support build applications for machine learning [MLlib], stream processing [Spark Streaming], and graph processing [GraphX]
  • GitHub - apache spark: Apache Spark - A unified analytics engine for . . .
    Spark is a unified analytics engine for large-scale data processing It provides high-level APIs in Scala, Java, Python, and R (Deprecated), and an optimized engine that supports general computation graphs for data analysis
  • What is Apache Spark? - Google Cloud
    Apache Spark is a unified analytics engine for large-scale data processing with built-in modules for SQL, streaming, machine learning, and graph processing Spark can run on Apache Hadoop,
  • Overview - Spark 4. 1. 1 Documentation
    Apache Spark is a unified analytics engine for large-scale data processing It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs
  • About Spark – Databricks
    Spark comes packaged with higher-level libraries, including support for SQL queries, streaming data, machine learning and graph processing These standard libraries increase developer productivity and can be seamlessly combined to create complex workflows
  • Downloads - Apache Spark
    Spark docker images are available from Dockerhub under the accounts of both The Apache Software Foundation and Official Images Note that, these images contain non-ASF software and may be subject to different license terms





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