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Computer Hope Word and Letter search tool to find computer-related terms containing a certain word or series of letters.
For example, a valid array for the above example would look like: [{"a": "value for row 1", "b": "value for row 1"}, {"a": "value for row 2", "b": "value for row 2"}] Here the keys of the objects are the titles of the nested content controllers. Hence, adding a ...
KeysBoundTo A collection of KeyBinding objects assigned to a command, style, macro, or other item in the current context. Language Represents a language used for proofing or formatting in Microsoft Word. Languages A collection of Language objects that represent languages used for proofing or ...
To do a good job, we must first sharpen our tools, but I would like to make more use of our limited energy in computer technology, which is not yet able to do a fine proofreading interpretation of the above. Some of these functions can also be applied to the environment outside the ...
For various ribbon options you can combine the Key Tips letters with the Alt key to make shortcuts called Access Keys. For example, press Alt+H to open the Home tab, and Alt+Q to move to the Tell Me or Search field. Press Alt again to see Key Tips for the options for the selected...
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Additionally, in certain situations, you may have more than one global template file. For example, this occurs if multiple versions of Word are running on the same computer, or if several workstation installations exist on the same computer. In these situations, make sure that you rename each...
477 compute computable, computation, computational, computationally, computations, computer, computed, computerisation, computerise, computerised, computerises, computerising, computerization, computerize, computerized, computerizes, computerizing, computers, computes, computing N Y 478 deviate deviated, deviates...
>>> from gensim.corpora import Dictionary >>> >>> texts = [['human', 'interface', 'computer']] >>> dct = Dictionary(texts) # initialize a Dictionary >>> dct.add_documents([["cat", "say", "meow"], ["dog"]]) # add more document (extend the vocabulary) >>> dct.doc2bow([...