#Learn scala code#

While exploring parallel programming in Python for data science (and I highly recommend you watch my PyData Global 2020 talk for a vivid explanation of parallelism), I learnt about functional programming in Python through map and itertools.

Why is Python not ideal for learning functional data engineering This language transition helped in speeding up the process of learning Python, which is designed to be primarily an object-oriented programming language although the language supports multiple programming paradigms.

#Learn scala code#

2 is important is so that the focus would be more on learning the programming paradigm without fretting way too much on the syntax and code patterns.įor example, I learnt Object-Oriented Programming by re-acquainting with C and gradually transitioning to C++ through learning object-oriented concepts such as classes, inheritance and polymorphism. Similar in syntax and code patterns to a programming language that you are already familiar with.Designed primarily for the target programming paradigm (not as an afterthought).

The question is: Why go through the trouble of learning Scala if Functional Programming is supported in Python? How I learn different programming paradigmsĪs a language purist who believes in using tools for their intended purposes, I believe that the best way to learn a new programming paradigm (whether it is Object-Oriented Programming or Functional Programming) in depth is to learn a suitable programming language that is: My key reason for learning Scala is to learn Functional Programming for data engineering. One of my tech goals in 2021 is to learn Scala.