Bayesian Modeling and Probabilistic Programming in Python
- python
- statistical-analysis
- bayesian-inference
- mcmc
47,133 repositories indexed
1–24 of 30 · Most stars
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Create delightful software with Jupyter Notebooks
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
Jupyter kernel for the C++ programming language
A general-purpose tool for dynamic report generation in R
Interactive Go programming with Jupyter
Go Language Library for SVG generation
🦄 The Enterprise™ programming language
A functional programming toolkit for R
Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
Easy to use .NET library for data and time series manipulation and for scientific programming
Interactive graphing library for .NET programming languages :chart_with_upwards_trend:
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
Yet Another LINQ to Objects for PHP [Simplified BSD]
Encapsulated object-oriented programming for R
A Python toolkit for processing tabular data
Literate Visualization: Theory, software and examples
Jupyter's kernel for Elixir programming language
An OCaml kernel for Jupyter (IPython) notebook
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
Python game programming in Jupyter notebooks.
Functional programming in R