Create A List
/* Create a list: */ armies = ['Red Army', 'Blue Army', 'Green Army']
Breaking Out Of A For Loop
for army in armies: print(army) if army == 'Blue Army': print('Blue Army Found! Stopping.') break
Red Army Blue Army Blue Army Found! Stopping.
Notice that the loop stopped after the conditional if statement was satisfied.
Exiting If Loop Completed
A loop will exit when completed, but using an
else statement we can add an action at the conclusion of the loop if it hasn’t been exited earlier.
for army in armies: print(army) if army == 'Orange Army': break else: print('Looped Through The Whole List, No Orange Army Found')
Red Army Blue Army Green Army Looped Through The Whole List, No Orange Army Found
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes
Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!
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