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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 Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more

    Posted By: ksveta6
    Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more

    Python Social Media Analytics: Analyze and visualize data from Twitter, YouTube, GitHub, and more by Siddhartha Chatterjee, Michal Krystyanczuk
    2017 | ISBN: 1787121488 | English | 312 pages | EPUB | 27 MB

    Leverage the power of Python to collect, process, and mine deep insights from social media data

    About This Book
    Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more
    Analyze and extract actionable insights from your social data using various Python tools
    A highly practical guide to conducting efficient social media analytics at scale
    Who This Book Is For
    If you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.

    What You Will Learn
    Understand the basics of social media mining
    Use PyMongo to clean, store, and access data in MongoDB
    Understand user reactions and emotion detection on Facebook
    Perform Twitter sentiment analysis and entity recognition using Python
    Analyze video and campaign performance on YouTube
    Mine popular trends on GitHub and predict the next big technology
    Extract conversational topics on public internet forums
    Analyze user interests on Pinterest
    Perform large-scale social media analytics on the cloud