It has been 12 years releasing robust versions of Python 3 series. Python 3 was first released in year 2008. It fixed major issues with versions of Python 2 series. Hence it does not make any sense to learn 2.7 if you start learning it today. If you filter your search criteria and look for only recent articles, you would find Python 2 is no longer supported by the Python Software Foundation. Some bloggers opposed and some in favor of 2.7. Google yields thousands of articles on this topic. Python has a great online community support.ĭo you know these sites are developed in Python?.It can be easily integrated with big data frameworks such as Spark and Hadoop.Python wins over R when it comes to deploying machine learning models in production.Python has awesome robust libraries for machine learning, natural language processing, deep learning, big data and artificial Intelligence.Python runs well in automating various steps of a predictive model.There are several reasons to learn Python. There are some areas such as number of libraries for statistical analysis, where R wins over Python but Python is catching up very fast.With popularity of big data and data science, Python has become first programming language of data scientists. In advanced analytics world, there has been several debates on R vs. It is equally popular in data science world. Python is widely used and very popular for a variety of software engineering tasks such as website development, cloud-architecture, back-end etc.
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