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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.

    Using Python for Introductory Econometrics

    Posted By: DZ123
    Using Python for Introductory Econometrics

    Florian Heiss, "Using Python for Introductory Econometrics"
    English | 2020 | ASIN: B08924H17Y | PDF | pages: 428 | 102.7 mb

    - Introduces the popular, powerful and free programming language and software package Python
    - Focus: implementation of standard tools and methods used in econometrics
    - Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation
    - Companion website with full text, all code for download and other goodies
    Topics:
    - A gentle introduction to Python
    - Simple and multiple regression in matrix form and using black box routines
    - Inference in small samples and asymptotics
    - Monte Carlo simulations
    - Heteroscedasticity
    - Time series regression
    - Pooled cross-sections and panel data
    - Instrumental variables and two-stage least squares
    - Simultaneous equation models
    - Limited dependent variables: binary, count data, censoring, truncation, and sample selection
    - Formatted reports using Jupyter Notebooks