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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".
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.
This is the zero width joiner em dash zero width non joiner template; it renders like this (without the quote marks): "—" . It works similarly to the HTML markup sequence ‍—‌ i.e. a zero-width joiner (which will not line-break and will not collapse together with words that come before the template), a long dash (known as an em dash), and a zero-width non-joiner (which ...
But Dash also works for R, and most recently supports Julia, and while still described a Python framework, Python isn't used for the other languages, "describing Dash as a Python framework misses a key feature of its design: the Python side (the back end/server) of Dash was built to be lightweight and stateless [allowing] multiple back-end ...
The dash is a punctuation mark consisting of a long horizontal line. It is similar in appearance to the hyphen but is longer and sometimes higher from the baseline.The most common versions are the en dash –, generally longer than the hyphen but shorter than the minus sign; the em dash —, longer than either the en dash or the minus sign; and the horizontal bar —, whose length varies ...
A parsing expression is a kind of pattern that each string may either match or not match.In case of a match, there is a unique prefix of the string (which may be the whole string, the empty string, or something in between) which has been consumed by the parsing expression; this prefix is what one would usually think of as having matched the expression.
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.
For example, U+0364 is an e written above the preceding letter, to be used for New High German umlaut notation, such as uͤ for Modern German ü. Combining Diacritical Marks Extended [1] [2] Official Unicode Consortium code chart (PDF)