You can work around the physical memory and CPU restrictions of a single workstation by running on multiple systems at once. This means it’s easier to take your code and have it run on several CPUs or even entirely different machines. Writing in a functional manner makes for embarrassingly parallel code. One paradigm that is of particular interest for aspiring Big Data professionals is functional programming.įunctional programming is a common paradigm when you are dealing with Big Data. ![]() Big Data Concepts in Pythonĭespite its popularity as just a scripting language, Python exposes several programming paradigms like array-oriented programming, object-oriented programming, asynchronous programming, and many others. ![]() Free Download: Get a sample chapter from Python Tricks: The Book that shows you Python’s best practices with simple examples you can apply instantly to write more beautiful + Pythonic code.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |