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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 Industry 4.0

    Posted By: lucky_aut
    Python for Industry 4.0

    Python for Industry 4.0
    Duration: 4h 1m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.39 GB
    Genre: eLearning | Language: English

    Learn the basics of Python for Industry 4.0 with hands-on exercises and projects.

    What you'll learn:
    Load, work, and visualize real manufacturing data
    Basic Python programming with Numpy, Pandas, Matplotlib, and other libraries
    Complete a project on calculate Overall Equipment Effectiveness of two production lines
    Complete a project on Control Loop Process Monitoring based on real dataset from a refinary

    Requirements:
    No programming experience needed

    Description:
    Industry 4.0 is a concept that promises huge performance increases for manufacturing. Gradually, companies are starting to implement its concepts and are looking for professionals with experience in the area. This course is the first step for future studies and development on different technologies of Industry 4.0, such as Machine Learning, Internet of Things, and real-time optimization, for example.
    The course is divided into chapters, which end with exercises for you to test and improve your Python programming skills. We will be using Google Colab for our classes. So no setup is required. You will be able to start coding as soon as we get started with the practical classes.
    First, we are going to cover the basic operations and syntax and also the main Python numerical and visualization libraries. This knowledge will be used in practical exercises for loading a dataset from a steel industry and building algorithms for data resampling and aggregation, data compression, filtering noise, identifying outliers, and others.
    At the end of the course, you will work on two projects. The first one is the development of an algorithm to calculate the Overall Equipment Effectiveness (or OEE) of two production lines. The second one is the development of control loop performance indicators based on a real refinery dataset

    Who this course is for:
    Individuals looking for first python-based application in manufacturing

    More Info