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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Lynda - Scala Essential Training for Data Science

    Posted By: U.N.Owen
    Lynda - Scala Essential Training for Data Science

    Lynda - Scala Essential Training for Data Science
    Size: 192 MB | Duration: 1h 51m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
    Genre: eLearning | Level: Intermediate | Language: English

    Discover how to leverage Scala—the popular language that combines object-oriented design with functional programming—in your data science work. In this course, learn about the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala. Dan Sullivan kicks off the course with an introduction for non-Scala programmers. Next, he describes how to use SQL from Scala—a particularly useful concept for data scientists, since they often have to extract data from relational databases. He then covers parallel processing constructs in Scala, sharing techniques that are useful for medium-sized data sets that can be analyzed on a single server with multiple cores. Dan also focuses on using Scala with Spark, a distributed processing platform. He first describes how to work with Resilient Distributed Datasets (RDDs)—a fundamental Spark data structure—and then explains how to use Scala with Spark DataFrames, a new class of data structure specially designed for analytic processing. He wraps up the course by providing a summary of advantages of using Scala for data science.

    * The advantages of Scala for data science
    * Scala data types
    * Scala arrays, vectors, and ranges
    * Parallel processing in Scala
    * Mapping functions over parallel collections
    * When and when not to use parallel collections
    * Using SQL in Scala
    * Scala and Spark RDDs
    * Scala and Spark DataFrames
    * Creating DataFrames


    Lynda - Scala Essential Training for Data Science

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