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Python supports normal floating point numbers, which are created when a dot is used in a literal (e.g. 1.1), when an integer and a floating point number are used in an expression, or as a result of some mathematical operations ("true division" via the / operator, or exponentiation with a negative exponent).
In logic programming, programs consist of sentences expressed in logical form, and computation uses those sentences to solve problems, which are also expressed in logical form. In a pure functional language , such as Haskell , all functions are without side effects , and state changes are only represented as functions that transform the state ...
A text simplification system aims to change the first sentence into a group of simpler sentences, as seen just below the first sentence. Also contributing to the firmness in copper, the analyst noted, was a report by Chicago purchasing agents, which precedes the full purchasing agents report that is due out today and gives an indication of what ...
Abstraction is a fundamental concept in computer science and software engineering, especially within the object-oriented programming paradigm. [3] Examples of this include: the usage of abstract data types to separate usage from working representations of data within programs; [4]
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in ...
A teacher should support students with devising their own plan with a question method that goes from the most general questions to more particular questions, with the goal that the last step to having a plan is made by the student. He maintains that just showing students a plan, no matter how good it is, does not help them.
Imperative sentences are more intentional than exclamatory sentences and do require an audience, [note 1] as their aim is to get the person(s) being addressed either to do or to not do something. And although this function usually deals with the immediate temporal vicinity, its scope can be extended, i.e. you can order somebody to move out as ...
Another approach is to automatically learn a set of rules from a set of documents where the sentence breaks are pre-marked. Solutions have been based on a maximum entropy model. [3] The SATZ [4] architecture uses a neural network to disambiguate sentence boundaries and achieves 98.5% accuracy.