<strong>Importance and benefit of Python for data science.</strong>

Importance and benefit of Python for data science.

Data Science, Software Development
Python is a high-level programming language that has gained tremendous popularity over the past few years. It’s easy to learn and uses simple syntaxes for coding. Moreover, it has many libraries available that help in performing complex tasks with very little or no coding at all. Lastly, its free availability for commercial use is a huge boon for startups and enterprises as well who usually need to work on a budget to test new things out before spending money on them Six Reasons Why Python Is the Best Language for Data Science Python is a general-purpose programming language that can be used for data science, machine learning, and computer programming. It's also the most popular language in data science. Python is an interpreted language, meaning that the program runs inside…
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<strong>Difference between R programming language and Python Programming language for data analysis</strong>

Difference between R programming language and Python Programming language for data analysis

Data Analysis, Data Science, Software Development
In this article, I will talk about the difference between R programming language and Python programming language. R programming language R is a computer programming language that is used for statistical analysis. It is open source and free to use, popular among statisticians, data miners, and other data analysts. R has proven itself as the most popular programming language for data analysis because of its ease of use, flexibility, and power. Python programming language Python is a high-level, general-purpose programming language. It was developed by Guido van Rossum in the late 1980s and has become the most widely used high-level programming language in the world. The syntax and semantics of Python are designed to support clear programmer productivity. Its design makes it particularly appropriate for Rapid Application Development (RAD) on…
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