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    Python and R are two of the most popular programming languages used in data science, each with its own strengths and weaknesses. Both are open-source and have extensive libraries and communities supporting data science tasks.

    Purpose and Origin

    Python is a general-purpose programming language created by Guido van Rossum in 1991. It emphasizes code readability and simplicity, making it easy to learn and use. Python is widely used in various domains, including web development, software development, and data science.

    R, on the other hand, was developed by statisticians Ross Ihaka and Robert Gentleman in 1993. It is specifically designed for statistical computing and graphics. R is popular in academia and research, particularly in fields like finance and pharmaceuticals.

    Key Differences

    Data Collection

    Python supports a wide range of data formats, including CSV, JSON, and SQL tables. It is versatile for pulling data from the web using libraries like requests. R is designed for data analysts to import data from Excel, CSV, and text files, and it also supports dataframes from Minitab or SPSS.

    R vs. Python for Data Science: A Comprehen…

    Now that we’ve looked at the big-picture differences between R and Python, let’s dig a lit…

    Statology
    Should I learn Python or R?
    There’s no wrong choice when it comes to learning Python or R. Both are in-demand skills and will allow you to perform just about any data analytics task you’ll encounter. Which one is better for you will ultimately come down to your background, interests, and career goals. As you make your decision, here are some things to consider. 1.
    coursera.org
    Coursera
    https://www.coursera.org/articles/python-or-r-for-data-analysis
    Python or R for Data Analysis: Which Should You Learn?
  1. DataCamp
    https://www.datacamp.com › blog › python-vs-r-for-data-sci…この結果を翻訳する

    Python vs R for Data Science: Which Should You Learn?

    Python vs R for Data Science: Which Should You Learn? This guide will help you answer one of the most frequently asked questions of newcomers in data science and help yo…
    Why Choose Python?

    Python is a general-purpose, open-source programming language used in various software domains, including data science, web development, and gaming. Launched in 1991, Python is one of the most popular programming languages in the world, occ…

    Why Choose R?

    R is an open-source programming language specifically created for statistical computing and graphics. Since its first launch in 1992, R has been widely adopted in scientific research and academia. Today, it remains one of the most popular analyti…

    R vs Python: Key Differences

    Now that you’re a little more familiar with Python and R, let's compare them from a data science perspective to assess their similarities, strengths, and weaknesses.

  2. Statology
    https://www.statology.org › r-vs-python-f…この結果を翻訳する

    R vs. Python for Data Science: A Comprehensive …

    2025年7月1日 · Now that we’ve looked at the big-picture differences between R and Python, let’s dig a little deeper. Understanding how each language was built, who …