Python has appeared as a popular and vibrant programming language with Ruby, Perl and many more.
Python has recently progressed for creating websites using its multiple web frames. A lot of people consider calling Python as a scripting language as one can easily write scripts or quick and small programs. When we are discussing data analysis, Python is compared with many other open-source languages. But, lately, Python’s strong library support has become an evident preference for most of the analysts to perform data analysis tasks. Moreover, being a general programming language, it behaves as a single language for developing applications especially data-centric ones.
Pandas is one of the most well-renowned data analysis packages in Python that offers high-performance tools and structures for data analysis. Python’s packages help in compressing the time between initiating the project and doing constructive work within that project. If you want Python and some functionalities of R then RPy2 gives all of the essential functionalities of R.
If you want to know more about Data Science then do check out Intellipaat’s Data Science Training which will help you in learning Data Science from scratch and also provides one-to-one mentorship.
And if you are more into videos then you can check out the following video tutorials which will help you in clearing all your doubts regarding the same:
And if you are beginner and more into reading blogs then you can check out this blog which will provide you a brief introduction to Data Science.
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