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[4]: 114 A DataFrame is a 2-dimensional data structure of rows and columns, similar to a spreadsheet, and analogous to a Python dictionary mapping column names (keys) to Series (values), with each Series sharing an index. [4]: 115 DataFrames can be concatenated together or "merged" on columns or indices in a manner similar to joins in SQL.
Plots using two alternative backends matplotlib or bokeh Numerical summaries and diagnostics for Markov chain Monte Carlo methods. Integration with established probabilistic programming languages including; PyStan (the Python interface of Stan ), PyMC , [ 15 ] Edward [ 16 ] Pyro, [ 17 ] and easily integrated with novel or bespoke Bayesian analyses.
Meld is a visual diff and merge tool, targeted at developers. It allows users to compare two or three files or directories visually, color-coding the different lines. Meld can be used for comparing files, directories, and version controlled repositories.
This comparison of programming languages compares how object-oriented programming languages such as C++, Java, Smalltalk, Object Pascal, Perl, Python, and others manipulate data structures. Object construction and destruction
[1] [2] He's also the creator of Apache Arrow, a cross-language development platform for in-memory data, and Ibis, a unified Python dataframe API. He was the CEO and founder of technology startup Datapad. He was a software engineer at Two Sigma Investments. He founded Ursa Labs, [3] which, in 2021, became part of Voltron Data. [4]
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
Python 0.2.8 / August 2020 Yes Yes Dual (Commercial, academic) GEKKO is a Python package for machine learning and optimization of mixed-integer and differential algebraic equations. It is coupled with large-scale solvers for linear, quadratic, nonlinear, and mixed integer programming (LP, QP, NLP, MILP, MINLP).
The Flajolet–Martin algorithm is an algorithm for approximating the number of distinct elements in a stream with a single pass and space-consumption logarithmic in the maximal number of possible distinct elements in the stream (the count-distinct problem).