Python is extremely popular in the programming world for two reasons: it can handle a humongous range of tasks and second, the language is extremely...
MATLAB® makes data science easy with tools to access and preprocess data, build machine learning and predictive models, and deploy models to enterprise IT systems....
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly...
Scala’s most important Data Science applications: Scala is used by the Spark Framework to handle real-time data streaming. In data analytics, the Spark Framework makes...
Scientific computing has traditionally required the highest performance, yet domain experts have largely moved to slower dynamic languages for daily work. We believe there are...
Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many...
Know Your Data helps researchers, engineers, product teams, and decision makers understand datasets with the goal of improving data quality, and helping mitigate fairness and...
FUNDAMENTAL ALGORITHMS SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. BROADLY APPLICABLE The...
POWERFUL N-DIMENSIONAL ARRAYS Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NUMERICAL COMPUTING TOOLS NumPy...
D3. js (data-driven documents) is an open source JavaScript library that allows users to apply prebuilt data visualizations to their data. The code creates interactive...