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

    DROSIA SERENITY
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    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.
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    Scientific Computing with NumPy - Python Data Science

    Posted By: lucky_aut
    Scientific Computing with NumPy - Python Data Science

    Scientific Computing with NumPy - Python Data Science
    Duration: 5h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 1.62 GB
    Genre: eLearning | Language: English

    We're a couple (Eirik and Stine) who love to create high-quality courses! In the past, Eirik has taught both Python and NumPy at the university level, while Stine has written learning material for a university course that has used NumPy. We both love NumPy and can't wait to teach you all about it!

    What this course is all about:

    In this course, we will teach you the ins and outs of the Python library NumPy. This library is incredibly powerful and is used for scientific computing, linear algebra, image processing, machine learning, and much more. If you are interested in one of these topics, or simply want to get started with data science in Python, then this is the course for you!

    Topics we will cover:

    We will cover a lot of different topics in this course. In order of appearance, they are:

    Introduction to NumPy
    Working with Vectors
    Universal Functions and Plotting
    Randomness and Statistics
    Making and Modifying Matrices
    Broadcasting and Advanced Indexing
    Basic Linear Algebra
    Understanding n-dimensional Arrays
    Fourier Transforms
    Advanced Linear Algebra
    Saving and Loading Data
    By completing our course, you will be comfortable with NumPy and have a solid foundation for learning data science in Python.

    More Info