why python is better than r?
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Since R was built as a statistical language, it suits much better to do statistical learning. ... Python, on the other hand, is a better choice for machine learning with its flexibility for production use, especially when the data analysis tasks need to be integrated with web applications.
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More Productive. First and foremost reason why Python is much popular because it is highly productive as compared to other programming languages like C++ and Java. ... Python is also very famous for its simple programming syntax, code readability and English-like commands that make coding in Python lot easier and efficient ...
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R studio is an IDE. You can write script files and also use lots of convenient features while coding using Rstudio. Of course, you can write and execute codes in R console as well but that`s not elegant form of coding. By the way, R studio can`t work if R is not installed in your system.
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Pypy is faster than Cpython (the python implementation of reference). Currently, it's around 5 to 6 times faster on average. ... Pypy is an implementation of the dynamic python language, and as such, it can be compared to similar jitted dynamic language engines, such as the V8 javascript vm.
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R is a programming language used for statistical computing while RStudio uses the R language to develop statistical programs. In R, you can write a program and run the code independently of any other computer program. ... R may be used without RStudio, but RStudio may not be used without R.
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Python is widely considered as the preferred language for teaching and learning Ml (Machine Learning). ... As compared to c, c++ and Java the syntax is simpler and Python also consists of a lot of code libraries for ease of use. > Though it is slower than some of the other languages, the data handling capacity is great.
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Python code is understandable by humans, which makes it easier to build models for machine learning. ... Since Python is a general-purpose language, it can do a set of complex machine learning tasks and enable you to build prototypes quickly that allow you to test your product for machine learning purposes.
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Why is R so slow compared to other programming languages? Because it was never intended to run fast. Or, to be more precise, it's primary goal is not of generating a fast-running native code. R is about convenience and speed of work of it's user (be it data scientist, economist or public health analytic).
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Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. ... Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
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Python: The Best Fit for Data Science Data Science Python is widely used and is a favorite tool along being a flexible and open sourced language. Its massive libraries are used for data manipulation and are very easy to learn even for a beginner data analyst.
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While Python can be more user-friendly than Java, as it has a more intuitive coding style, both languages do have their unique advantages for developers and end users. However, if you are just beginning your path towards a programming career, you might want to start by learning Python, as it is less complex.
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Matplotlib was designed to be used with python and numpy and works well with pandas. ... Ggplot was designed to work with R but there are libraries for python. It is a bit more sophisticated than Matplotlib and uses a the Grammar of Graphics philosophy. Great for making great looking colorful plots of basic data sets.
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As a language, SQL is definitely simpler than Python. The grammar is smaller, the amount of different concepts is smaller. But that doesn't really matter much. As a tool, SQL is more difficult than Python coding, IMO.
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R was originally designed for statistical analysis while Matlab has its roots in signal processing. R is open source while Matlab is commercial (Octave is an open source clone of Matlab) R is similar to a functional languages while Matlab is more imperative. ... The opposite is true in Matlab.
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r opens for reading, whereas r+ opens for reading and writing.
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R and Python are both open-source languages used in a wide range of data analysis fields. Their main difference is that R has traditionally been geared towards statistical analysis, while Python is more generalist.
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Python and Java are two of the most popular and robust programming languages. Java is generally faster and more efficient than Python because it is a compiled language. As an interpreted language, Python has simpler, more concise syntax than Java. It can perform the same function as Java in fewer lines of code.