Category:KamilaLisp

A functional, flexible and concise Lisp inspired by Haskell and APL, among others.

KamilaLisp allows for actor programming, concurrent programming, imperative programming, [pure] functional programming, array programming, object-oriented programming, rudimentary logic programming, mathematical programming, backend development, numerical and scientific computation, scripting and system administration, symbolic computation (real and complex analysis), tacit (point-free) programming, and event-driven programming. In more detail:

• Arbitrary precision complex, integer and decimal arithmetic.
• A fully-featured, remote IDE capable of communicating with KamilaLisp instances over the network. Supports multiple workspaces, contains an implementation of a hybrid tiling/floating window manager and editors.
• Many mathematical functions (bernoulli, gamma, trigonometry, arcus functions, hyperbolic functions, inverse hyperbolic functions, FFT, IFFT)
• Bit operations
• Number theoretic, combinatoric and linear algebraic functions (permutations, Levi-Civita, etc...)
• Functional higher order functions (fold, scan, all, none, some, converge, takewhile, dropwhile)
• Functional parallelism (parallel map and filter)
• Mu-recursive functions (SML projections, mu-recursive substitution operator).
• Prototype-based object orientation.
• No memory side effects, all collections are persistent.
• Possibilities of writing code in pure functional paradigm.
• Suffix array and Burrows-Wheeler transform construction.
• APL-style array processing (grade-up, grade-down, find, range, where, encode, decode, replicate, etc...).
• APL-style symbols for common operations.
• Set operations.
• Read/write support for JSON, CSV, XML, Base64, XZ, gzip, lz4, bzip2, tar and zip.
• Date and time manipulations.
• Integrated development environment - supports remote IDE sessions, compressed KamilaLisp code format, project management, multi-workspace and multi-session workflows, broadcasting/synchronising project data among multiple remote sessions.
• Persistent hashmaps, reactive hashmap literals.
• PNG, BMP, JPG and JPEG image I/O.
• File I/O (read, write, append).
• Basic matrix operations (LU decomposition, transpose, trace, matrix multiplication easily implemented as $(foldl + 0)%[1] \outer-product * A \matrix:transpose A.
• Performance benchmarks to measure GC time, average, median and standard deviation between runs of various expressions.
• Module system.
• Streams
• Process management (using sh:process) - manipulating input/output streams, etc...
• HTTP server - supports resource handlers, path handlers, complex routing, cookies, ...
• SQL database connection, auxiliary database drivers, statements, queries, prepared statements.
• Symbolic matrix LU decomposition, symbolic determinants.
• Pattern matching.
• Memoization.
• Imperative programming support.
• Networking (net:fetch, net:wget).
• Sockets (net:client, net:server and their SSL counterparts).
• Parallel processing using the actor model (daemon threads, task threads, message passing paradigm).
• Regular expressions.
• KamilaLisp as a shell (implementations of sh:ls, sh:glob, sh:mv, sh:basename, etc... - all usable from the REPL and from code, as they return plain data structures, launching and manipulating external processes).
• String functions (Shannon entropy, unicode handling, byte buffers, levenshtein distance, string interpolation/formatting)
• On-The-Fly Lexical scanner generation.
• Function compositions, partial application, variadic functions, static scoping.
• Tail call optimisation.
• Limits, complex limits.
• Indefinite integrals.
• Differentiation
• Polynomial factoring.
• Laurent, Taylor, MacLaurin and Puiseux series expansion.
• Functional de Bruijn indices.
• Possibility to write standalone non-interactive scripts.
• Symbolic matrix operations.
• Machine word operations (flt64:..., cmplx64:...) - Bessel functions, Hurwitz Zeta, Riemann Zeta, Upper/Lower Incomplete Gamma, Gamma, LogGamma, Pochhammer symbol, erf, erfc, Inverse erf, Inverse erfc, Digamma, Trigamma, Polygamma, Airy Ai, Bessel I, J, K and Y functions, Lerch Phi, Spence's function, Lambert W and Polylogarithm.
• Prompt styling.
• Portable.
• Graph data structure (e.g. directed, acyclic, weighted, etc...).
• Graph colouring (Saturation degree, greedy, largest degree first, smallest degree last, chordal, refinement, Brown backtrack).
• Graph clustering (Givman-Newman, k-Spanning tree, label propagation).