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Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis.In particular, it offers data structures and operations for manipulating numerical tables and time series.
Wes McKinney is an American software developer and businessman. He is the creator and "Benevolent Dictator for Life" (BDFL) of the open-source pandas package for data analysis in the Python programming language, and has also authored three versions of the reference book Python for Data Analysis.
SciDAVis (Scientific Data Analysis and Visualization) is an open-source cross-platform computer program for interactive scientific graphing and data analysis. Development started in 2007 as fork of QtiPlot, which in turn is a clone of the proprietary program Origin.
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.
This data is not pre-processed List of GitHub repositories for the project: Red Hat This data is not pre-processed List of GitHub repositories of the project: Kubernetes Patterns This data is not pre-processed List of GitHub repositories of the project: Kubernetes Deployment & Security Patterns This data is not pre-processed List of GitHub ...
NetworkX has many network and graph analysis algorithms, aiding in a wide array of data analysis purposes. One important example of this is its various options for shortest path algorithms. The following algorithms are included in NetworkX, with time complexities given the number of vertices (V) and edges (E) in the graph: [21] Dijkstra: O((V+E ...
PyMC (formerly known as PyMC3) is a probabilistic programming language written in Python. It can be used for Bayesian statistical modeling and probabilistic machine learning. It can be used for Bayesian statistical modeling and probabilistic machine learning.
Spyder is extensible with first-party and third-party plugins, [8] and includes support for interactive tools for data inspection and embeds Python-specific code quality assurance and introspection instruments, such as Pyflakes, Pylint [9] and Rope. [10] [11] Spyder uses Qt for its GUI and is designed to use either of the PyQt or PySide Python ...