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Pandas supports hierarchical indices with multiple values per data point. An index with this structure, called a "MultiIndex", allows a single DataFrame to represent multiple dimensions, similar to a pivot table in Microsoft Excel. [4]: 147–148 Each level of a MultiIndex can be given a unique name.
An n-dimensional multi-index is an -tuple = (,, …,) of non-negative integers (i.e. an element of the -dimensional set of natural numbers, denoted ).. For multi ...
Dlib is a general purpose cross-platform software library written in the programming language C++.Its design is heavily influenced by ideas from design by contract and component-based software engineering.
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
The read–eval–print loop involves the programmer more frequently than the classic edit–compile–run–debug cycle. Because the print function outputs in the same textual format that the read function uses for input, most results are printed in a form that could be copied and pasted back into the REPL. However, it is sometimes necessary ...
The depth of poverty is the average 'gap' (G) between the level of deprivation poor people experience and the poverty cut-off line. M1 = H x A x G. Adjusted Squared Poverty Gap (M2): This measure reflects the incidence, intensity, and depth of poverty, as well as inequality among the poor (captured by the squared gap, S). M2 = H x A x S.
Panda3D is a scene graph engine. [7] This means that the virtual world is initially an empty Cartesian space into which the game programmer inserts 3D models. Panda3D does not distinguish between "large" 3D models, such as the model of an entire dungeon or island, and "small" 3D models, such as a model of a table or a sword.
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.