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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 89 144 233 377 610 987可扩展编程的核心是定义函数。Python 允许强制参数和可选参数、关键字参数，甚至任意参数列表。有关在 Python 3 中定义函数的更多信息
# Python 3: List comprehensions
>>> fruits = ['Banana', 'Apple', 'Lime']
>>> loud_fruits = [fruit.upper() for fruit in fruits]
>>> print(loud_fruits)
['BANANA', 'APPLE', 'LIME']
# List and the enumerate function
>>> list(enumerate(fruits))
[(0, 'Banana'), (1, 'Apple'), (2, 'Lime')]Lists (known as arrays in other languages) are one of the compound data types that Python understands. Lists can be indexed, sliced and manipulated with other built-in functions. More about lists in Python 3
# Python 3: Simple arithmetic
>>> 1 / 2
0.5
>>> 2 ** 3
8
>>> 17 / 3 # classic division returns a float
5.666666666666667
>>> 17 // 3 # floor division
5Calculations 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.
# For loop on a list
>>> numbers = [2, 4, 6, 8]
>>> product = 1
>>> for number in numbers:
... product = product * number
...
>>> print('The product is:', product)
The product is: 384Python 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
# Simple output (with Unicode)
>>> print("Hello, I'm Python!")
Hello, I'm Python!
# Input, assignment
>>> name = input('What is your name?\n')
What is your name?
Python
>>> print(f'Hi, {name}.')
Hi, Python.
Experienced programmers in any other language can pick up Python very quickly, and beginners find the clean syntax and indentation structure easy to learn. Whet your appetite with our Python 3 overview.
Python 是一种可让您快速工作的编程语言并更有效地集成系统。了解更多
Einblick 在协作数据科学画布而不是线性笔记本中重新构想了现代数据科学工作流程。在画布环境中工作具有许多优势，包括实时协作、扩展的可视界面和渐进式计算引擎。在本文中，我们将重点介绍节省数据科学家时间的关键方法之一——我们的操作员。我们将介绍几个核心操作员，为什么 Python 是我们软件解决方案的重要组成部分，以及我们如何通过用户操作员界面增强我们的产品。后者允许用户自定义和使用自己的运算符，这些运算符可以在任何 Einblick 画布中使用，并与其他 Einblick 用户共享。
Reimagining data science with Python-based operators in Einblick’s visual canvas by Becca Weng |