Use when working with CVXPY — a Python-embedded domain-specific language for convex optimization problems. Covers problem construction with the DCP (Disciplined Convex Programming) ruleset, all built-
Use with AI
Install the MCP server or CLI to instantly fetch Cvxpy documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/cvxpy
docker pull biocontainers/cvxpy:1.8.2Use when working with Convex.jl — a Julia package for Disciplined Convex Programming (DCP) that formulates and solves convex optimization problems with natural mathematical syntax. Covers problem cons
1 shared topic • 2 shared operations
NCO (netCDF Operators) is a suite of command-line programs that manipulate and analyze data stored in netCDF-accessible formats, including DAP, HDF4, HDF5, and Zarr. Primary use cases include metadata
1 shared topic
Open Data Cube (ODC) is an open-source geospatial data management and analysis framework that indexes Earth observation satellite imagery and gridded datasets into a PostgreSQL catalogue and exposes t
1 shared topic
Bambi (BAyesian Model-Building Interface) is a high-level Python package for fitting Bayesian generalized linear and generalized linear mixed models using a concise, R-style Wilkinson formula syntax.
1 shared operation
EpiEstim — CRAN R package from the MRC Centre for Global Infectious Disease Analysis for estimating the time-varying (instantaneous) reproduction number R_t from epidemic incidence time series. Implem
1 shared operation