Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    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.
    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.

    Matplotlib for Python Developers: Effective techniques for data visualization with Python, 2nd Edition

    Posted By: First1
    Matplotlib for Python Developers: Effective techniques for data visualization with Python, 2nd Edition

    Matplotlib for Python Developers: Effective techniques for data visualization with Python, 2nd Edition by Aldrin Yim, Claire Chung, Allen Yu
    English | October 9th, 2018 | ISBN: 178862517X | 302 Pages | EPUB (True/HQ) | 28.66 MB

    Leverage the power of Matplotlib to visualize and understand your data more effectively

    Key Features
    • Perform effective data visualization with Matplotlib and get actionable insights from your data
    • Design attractive graphs, charts, and 2D plots, and deploy them to the web
    • Get the most out of Matplotlib in this practical guide with updated code and examples

    Book Description
    Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library.

    Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples.

    By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.

    What you will learn
    • Create 2D and 3D static plots such as bar charts, heat maps, and scatter plots
    • Get acquainted with GTK+3, Qt5, and wxWidgets to understand the UI backend of Matplotlib
    • Develop advanced static plots with third-party packages such as Pandas, GeoPandas, and Seaborn
    • Create interactive plots with real-time updates
    • Develop web-based, Matplotlib-powered graph visualizations with third-party packages such as Django
    • Write data visualization code that is readily expandable on the cloud platform

    Who this book is for
    This book is essentially for anyone who wants to create intuitive data visualizations using the Matplotlib library. If you’re a data scientist or analyst and wish to create attractive visualizations using Python, you’ll find this book useful. Some knowledge of Python programming is all you need to get started.