Scala vs Python

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Scala vs Python
for Apache Spark
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• Scala vs Python- Which one to choose for Spark
  Programming?

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• Let us explore some important factors to look
  into before deciding on Scala vs Python as the
  main programming language for Apache Spark.

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Scala vs Python- Performance
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• Scala programming language is 10 times faster
  than Python for data analysis and processing due
  to JVM. The performance is mediocre when Python
  programming code is used to make calls to Spark
  libraries but if there is lot of processing
  involved than Python code becomes much slower
  than the Scala equivalent code.

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Scala vs Python - Learning Curve

• Programmers might find the syntax of Scala for
  programming in Spark crazy hard at times. Python
  is comparatively easier to learn for Java
  programmers because of its syntax and standard
  libraries. However, Python is not an ideal choice
  for highly concurrent and scalable systems like
  SoundCloud or Twitter.

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Scala vs Python Concurrency
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• Scala allows developers to write efficient,
  readable and maintainable services without
  dangling the program code into an unreadable
  cobweb of call-backs. Python, to the contrary,
  does support heavyweight process forking using
  uwsgi but it does not support true
  multithreading.
• Read More on Scala vs Python Concurrency
  https//www.dezyre.com/article/scala-vs-python-for
  -apache-spark/213

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Scala vs Python Ease of Use
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• Ease of use is a subjective factor because it
  comes down to the personal preference of the
  programmer. Scala and Python languages are
  equally expressive in the context of Spark so by
  using Scala or Python the desired functionality
  can be achieved. 

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• Bottom-Line Scala vs Python for Apache Spark
• Scala is faster and moderately easy to use,
  while Python is slower but very easy to use.
• Read in Detail on Scala vs Python
  https//www.dezyre.com/article/scala-vs-python-for
  -apache-spark/213