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# Python 3: Fibonacci series up to n>>> def fib(n):
>>> a, b = 0, 1 >>> while a < n: >>> print(a, end=' ') >>> a, b = b, a+b >>> print()>>> fib(1000)
0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987FUNCTIONS DEFINED
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. More about defining functions in Python 3*
# Python 3: List comprehensions>>> fruits =
>>> loud_fruits =
>>> print(loud_fruits) # List and the enumerate function >>> list(enumerate(fruits))COMPOUND DATA TYPES
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# Python 3: Simple arithmetic>>> 1 / 2
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>>> 17 // 3 # floor division5
INTUITIVE INTERPRETATION Calculations are simple with Python, and expression syntax is straightforward: the operators +, -, * and / work as expected; parentheses () can be used for grouping. More about simple math functions in Python 3.
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# Python 3: Simple output (with Unicode) >>> print("Hello, I'm Python!") Hello, I'm Python! # Input, assignment >>> name = input('What is your name?\n') >>> print('Hi, %s.' % name) What is your name?Python
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# For loop on a list>>> numbers =
>>> product = 1
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>>> print('The product is:', product) The product is: 384 ALL THE FLOW YOU’D EXPECT Python knows the usual control flow statements that other languages speak — if, for, while and range — with some of its own twists, of course. More control flow tools in Python 3* 1
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> Python's convenience has made it the most popular language for > machine learning and artificial intelligence. Python's flexibility > has allowed Anyscale to make ML/AI scalable from laptops to> clusters.
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Python provides convenience and flexibility for scalable ML/AI_by Dean Wampler_
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