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By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.
Lookup, find, or get find the value (if any) that is bound to a given key. The argument to this operation is the key, and the value is returned from the operation. If no value is found, some lookup functions raise an exception, while others return a default value (such as zero, null, or a specific value passed to the constructor).
The variable z is used to hold the length of the longest common substring found so far. The set ret is used to hold the set of strings which are of length z . The set ret can be saved efficiently by just storing the index i , which is the last character of the longest common substring (of size z) instead of S[(i-z+1)..i] .
where n is the number of keys, m is the number of buckets, and b j is the number of items in bucket j. A ratio within one confidence interval (such as 0.95 to 1.05) is indicative that the hash function evaluated has an expected uniform distribution.
A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.
doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [ 14 ] [ 15 ] doc2vec has been implemented in the C , Python and Java / Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.
A tabular data card proposed for Babbage's Analytical Engine showing a key–value pair, in this instance a number and its base-ten logarithm. A key–value database, or key–value store, is a data storage paradigm designed for storing, retrieving, and managing associative arrays, and a data structure more commonly known today as a dictionary or hash table.
load a long value from a local variable #index: lload_0 1e 0001 1110 → value load a long value from a local variable 0 lload_1 1f 0001 1111 → value load a long value from a local variable 1 lload_2 20 0010 0000 → value load a long value from a local variable 2 lload_3 21 0010 0001 → value load a long value from a local variable 3 lmul 69