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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.

    Python for Data Science Essential Training Part 1

    Posted By: IrGens
    Python for Data Science Essential Training Part 1

    Python for Data Science Essential Training Part 1
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 6h 2m | 703 MB
    Instructor: Lillian Pierson, P.E.

    Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts—for even more hands-on experience with Python. In this course, instructor Lillian Pierson takes you step by step through a practical data science project: a web scraper that downloads and analyzes data from the web. Along the way, she introduces techniques to clean, reformat, transform, and describe raw data; generate visualizations; remove outliers; perform simple data analysis; and generate interactive graphs using the Plotly library. You should walk away from this training with basic coding experience that you can take to your organization and quickly apply to your own custom data science projects.

    Topics include:

    Why use Python for working with data
    Filtering and selecting data
    Concatenating and transforming data
    Data visualization best practices
    Visualizing data
    Creating a plot
    Creating statistical data graphics
    Performing basic math and linear algebra
    Correlation analysis
    Multivariate analysis
    Data sourcing via web scraping
    Introduction to natural language processing
    Collaborative analytics with Plotly


    Python for Data Science Essential Training Part 1