210623 135k 3 PyLR stands for Python-LR, where the LR is as in LR parsing. It is a parser generator for python (1.5b1 or better). Included is an extension module implementing the LR parsing algorithm an 'engine' builtin type, a parser generator script, and class interfaces to Lexers and LALR(1) Grammars, html documentation, and example code (PyLR uses its own interface to parser context free grammars). author/contact: scott@chronis.icgroup.com
210623 1735k 1 Theano Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Tight integration with numpy, transparent use of a GPU, efficient symbolic differentiation, speed and stability optimizations, dynamic C code generation, and extensive unit-testing and self-verification.
210623 2k 2 This module defines a class TextFile whose instances can be accessed like normal file objects (i.e. by calling readline(), readlines(), and write()), but can also be accessed as sequence objects via indexing.
210623 2k 2 pyfi v1.0 pyfi provides a set of functions that perform commonly used financial calculations for the Python language. All functions documented in the source. Functions implemented in pyfi Version 1.0 are Simple interest (sint), Simple interest future value (sint_future_val), Compound interest (cint), Compound interest future value (cint_future_val), Annual yield (ayield), Ordinary annuity (o_annuity), Present value of annuity (pval_annuity),
210623 58k 1 Lea, a PYTHON pkg. that allows discrete probability distributions in an intuitive way. Allows you to model a broad range of random phenomenons, like dice throwing, coin tossing, gambling, weather, etc. It offers several high-level modelling features for probabilistic programming, including bayesian inference and Markov chains. Lea is open-source (LGPL) and runs on Python 2 or 3. https://bitbucket.org/piedenis/lea
210623 238k 2 SHTns high-performance Spherical Harmonic Transform lib. Designed for numerical simulation (fluid flows, mhd, etc.) in spherical geometries, can be used for any kind of problem involving scalar or vector spherical harmonics. Very fast. Supports multi-threaded transforms via OpenMP. Features scalar & vector transforms, synthesis & analysis, & flexible truncation & normalization. Python interface is included.
210623 331k 2 Scientific Python 2.2 Source in rpm format. A module library for scientific computing. Contains modules that cover basic geometry (vectors, tensors, transformations, vector and tensor fields), quaternions, automatic derivatives, (linear) interpolation, polynomials, elementary statistics, nonlinear least-squares fits, unit calculations and conversions, Fortran-compatible text formatting, 3D visualization via VRML, two Tk widgets for simple line plots and 3D wireframe models. Also contains Python interfaces to the netCDF library (implementing a portable binary format for large arrays) and the Message Passing Interface, the most widely used communications library for parallel computers.
210623 329k 2 Scientific Python 2.2 binary in tgz format. A module library for scientific computing. Contains modules that cover basic geometry (vectors, tensors, transformations, vector and tensor fields), quaternions, automatic derivatives, (linear) interpolation, polynomials, elementary statistics, nonlinear least-squares fits, unit calculations and conversions, Fortran-compatible text formatting, 3D visualization via VRML, two Tk widgets for simple line plots and 3D wireframe models. Also contains Python interfaces to the netCDF library (implementing a portable binary format for large arrays) and the Message Passing Interface, the most widely used communications library for parallel computers.
210623 525k 3 Scientific Python 2.2 binary in rpm format. A module library for scientific computing. Contains modules that cover basic geometry (vectors, tensors, transformations, vector and tensor fields), quaternions, automatic derivatives, (linear) interpolation, polynomials, elementary statistics, nonlinear least-squares fits, unit calculations and conversions, Fortran-compatible text formatting, 3D visualization via VRML, two Tk widgets for simple line plots and 3D wireframe models. Also contains Python interfaces to the netCDF library (implementing a portable binary format for large arrays) and the Message Passing Interface, the most widely used communications library for parallel computers.
210623 6k 2 The module defines a matrix class (Matrix) with some common methods and a (3,1)-vector class (Vector) with special vector methods. A matrix instance of dimension (m,n) consists of an integer value m (rows), an integer value n (columns) and a list of data elements. AUTHOR: Mario Chemnitz
210623 60k 2 The minfx v1.0.5 project is a Python package for numerical optimization. It provides a large collection of standard minimization algorithms, including the line search methods (steepest descent, back-and-forth coordinate descent, quasi-Newton BFGS, Newton, and Newton-CG), the trust-region methods (Cauchy point, dogleg, CG-Steihaug, and exact trust region), the conjugate gradient methods (Fletcher-Reeves, Polak-Ribiere, Polak-Ribiere +, and Hestenes-Stiefel), the miscellaneous methods (Grid search, Simplex, and Levenberg-Marquardt), and the augmented function constraint algorithms (logarithmic barrier and method of multipliers). http://gna.org/projects/minfx/
210623 67k 2 GMP v.0.6 source code. GMP is a free library for arbitrary precision arithmetic, operating on signed integers, rational numbers, and floating point numbers. GMP stands for "GNU Multiple Precision" arithmetic library. Current gmpy version is 0.4 (pre-alpha): almost fully exposes GMP's rich functionality for mpz (unlimited precision integers), partly exposes mpf (multiple precision floats), not yet mpq (rational numbers) nor mpfr (enhanced version of multiple-precision floats).
210623 3k 1 A tiny command line utility for converting integers between bases. int accepts an integer in its [b]inary, [o]ctal, [d]ecimal, or he[x] form, then prints it out in all four bases
210623 40k 2 stats.py defines a number of basic statistical functions for python. One set of functions operates on lists/tuples, and another operates on arrays. It depends on pstat.py, also included in the archive file. Written by: Gary Strangman (strang mr.mgh.harvard.edu)