Search results
Results from the WOW.Com Content Network
In fixed format code, line indentation is significant. Columns 1–6 and columns from 73 onwards are ignored. If a * or / is in column 7, then that line is a comment. Until COBOL 2002, if a D or d was in column 7, it would define a "debugging line" which would be ignored unless the compiler was instructed to compile it. Cobra
String functions are used in computer programming languages to manipulate a string or query information about a string (some do both).. Most programming languages that have a string datatype will have some string functions although there may be other low-level ways within each language to handle strings directly.
A spreadsheet's concatenate ("&") function is used to assemble a complex text string—in this example, XML code for an SVG "circle" element. In formal language theory and computer programming, string concatenation is the operation of joining character strings end-to-end. For example, the concatenation of "snow" and "ball" is "snowball".
Pd, dash Common — EM DASH U+2014: Pd, dash Common ― HORIZONTAL BAR U+2015: Pd, dash Common ⸗ DOUBLE OBLIQUE HYPHEN U+2E17: Pd, dash Common ⸚ HYPHEN WITH DIAERESIS U+2E1A: Pd, dash Common ⸺ TWO-EM DASH U+2E3A: Pd, dash Common ⸻ THREE-EM DASH U+2E3B: Pd, dash Common ⹀ DOUBLE HYPHEN U+2E40: Pd, dash Common 〜 WAVE DASH U+301C: Pd ...
If just 2 columns are being swapped within 1 table, then cut/paste editing (of those column entries) is typically faster than column-prefixing, sorting and de-prefixing. Another alternative is to copy the entire table from the displayed page, paste the text into a spreadsheet, move the columns as you will.
In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.
Another recent idea is the similarity join. When matching database relates to a large scale of data, the O ( mn ) time with the dynamic programming algorithm cannot work within a limited time. So, the idea is to reduce the number of candidate pairs, instead of computing the similarity of all pairs of strings.
Thus, for example, given a character a ∈ Σ, one has f(a)=L a where L a ⊆ Δ * is some language whose alphabet is Δ. This mapping may be extended to strings as f(ε)=ε. for the empty string ε, and f(sa)=f(s)f(a) for string s ∈ L and character a ∈ Σ. String substitutions may be extended to entire languages as [1]