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Založený: 19.06.2023
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PHP is a popular programming language primarily used for web development, whereas data science is a multidisciplinary field focused on extracting insights and knowledge from data. While PHP is useful for building dynamic websites and web applications, it is not typically the primary language used in data science.
When it comes to data science, there are several programming languages commonly utilized, such as Python and R, that offer extensive libraries and frameworks specifically designed for data analysis, machine learning, and statistical modeling. These languages provide robust tools and packages for data manipulation, visualization, and building machine learning models, making them more suitable for data science tasks.
Python, in particular, is widely regarded as one of the most popular languages for data science due to its simplicity, versatility, and an extensive ecosystem of libraries like NumPy, Pandas, and scikit-learn, which facilitate various data science tasks.
If you are interested in pursuing a career or developing skills in data science, it would be beneficial to focus on learning programming languages like Python or R, along with related libraries and frameworks. These languages offer a broader range of tools and resources specifically tailored to data analysis and machine learning, enabling you to explore and leverage the full potential of data science techniques and methodologies.
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togeso7085
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