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    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    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.
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    Data Visualization with Python and JavaScript, 2nd Edition (Final Release)

    Posted By: GFX_MAN
    Data Visualization with Python and JavaScript, 2nd Edition (Final Release)

    Data Visualization with Python and JavaScript, 2nd Edition (Final Release)
    English | 2022 | ISBN: 9781098111861 | 566 pages | True EPUB | 19.3 MB

    How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts–as well as Python and JavaScript developers–how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries.

    Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started.

    You'll learn how to
    Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup
    Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn
    Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API
    Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web
    Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries