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Python and R are both popular programming languages for data science. They both have their own strengths and weaknesses, so the best language for you will depend on your specific needs.
Python is a general-purpose programming language that is easy to learn and has a large community of users. It is often used for web development, data analysis, and machine learning. Python is a good choice if you are new to programming or if you want to learn a language that can be used for a variety of tasks.
R is a statistical programming language that is specifically designed for data analysis and visualization. It has a large number of statistical libraries and packages, and it is often used by researchers and academics. R is a good choice if you are interested in statistical analysis or if you need a language that is specifically designed for data science.
Ultimately, the best way to decide which language to learn is to try both of them and see which one you prefer. There are many free resources available online that can help you get started with either language. Once you have learned the basics of one language, it will be easier to learn the other.
• If you want to create a program i mean programmer then go python.
or if you want to do analysis then R.
• If you come from excel,sql and access background then R.
• If you are come from computer science background and having knowledge on program language than Python.
• If you are come from non computer science such as biology,civics,history and economics than R.
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I am working in a nontechnical field and i want to switch this job and work in a technical field but I am not able to decide where to start. I want to learn, but what in Python?
Main problem statement : import a .xlsx file in python with a dataset value then after import we need to ensure that every time I enter a value in a row ; row must be added by 1 and automatically value changes to a row using python script without manually intervention .
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