Tags
Language
Tags
<<
July 2025
Su Mo Tu We Th Fr Sa
29 30 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 31 1 2
    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.

    1. Home
    2. eBooks & eLearning
    3. Migrating from R to Python for Data Analysis

    Migrating from R to Python for Data Analysis

    Posted By: IrGens
    Date: 31 Oct 2019 19:05:41
    Migrating from R to Python for Data Analysis

    Migrating from R to Python for Data Analysis
    .MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 2h 57m | 463 MB
    Instructor: Rajat Jatana

    Migrate from R to Python to perform effective data analysis

    Learn

    Writing and running Python in IPython
    Using Python lists and dictionaries
    Creating NumPy arrays
    Indexing and slicing in NumPy
    Downloading and parsing data files into NumPy and pandas
    Using multilevel series in pandas
    Aggregating data in pandas

    About

    R has been the go-to language in data science for the last decade. However, given the latest developments and enhancements in Python's capabilities and its numerous supportive libraries, Python has dethroned R and is the first choice for data science enthusiasts, especially those working on descriptive and prescriptive analytics.

    In this course, you will be performing data analysis on some popular datasets from Kaggle such as the Red Wine and White Wine analysis datasets. You will see how the coding structure for Python analyses on Jupyter notebooks is drastically simplified using fewer lines of code, with far fewer dependencies. While working with powerful libraries (NumPy and pandas), you will slice and dice data for relevant insights. Moving on, you will also learn about great visualization features which are greatly enhanced, faster, and easier to use in Python 3.

    By the end of this course, you will be familiar with Python functions and will be able to transform your R code into Python with far fewer lines of code, better performance, and increased speed.

    All the related code files are placed on GitHub repository at: https://github.com/PacktPublishing/Migrating-from-R-to-Python-for-Data-Analysis

    Features

    Discover Python's unique data analysis libraries: pandas and NumPy
    Take a smooth transitioning journey in data analysis and give your skills an edge
    Master tools that will help you migrate your data analysis from R to Python

    More Info

    Migrating from R to Python for Data Analysis
    UPWARDS