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...fortran) Return 1 if the memory defined by the view object is C-style (fortran = 'C') or Fortran-style (fortran = 'F') contiguous or either one (fortran = 'A'). Return 0 otherwise. void PyBuffer_FillContiguousStrides(int ndim, Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t itemsize, char fortran) Fill the strides array with byte-strides of a contiguous (C-style if fortran is 'C' or Fortran-style if fortran is 'F' arr...
...Fortran 77 was eliminated because of its archaic character, lack of memory management, and portability issues in C-Fortran interfacing. C++ was a candidate, but ultimately not chosen because portability between compilers was still an issue in 1996, and because I considered the benefits of C++ for the small amount of compiled code in the project insufficient to compensate for the complexity of the language. Library architecture The architecture of MMTK is clearly Python-driven. To the user, it ...
...FORTRAN numerical code out there. Obviously the ultimate goal is to have this a part of the base pythondistribution. I'll start thinking more about this once I make thegeneral release to the community at large. 6) Hints for Windows Users You must use binary mode files for pickling and unpickling matrices inthe windows world. Blame Bill for the silliness.
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YOUR TASKS AND RESPONSIBILITIES: Models are our main tool to project how ecosystems and climate evolve. But a key driver – the vast usage of land through agriculture, forestry and urbanization – is still lacking substantial detail in these models. This impairs our fundamental understanding of the interactions of humans, …
...Fortran 90 to write a program in a portable way that uses floating point and gets roughly the same answer regardless of platform -- or refuses to compile if that is not possible. Python currently has only one floating point type, equal to a C double in the C implementation. No type exists corresponding to single or quad floats. It would complicate the language to try to introduce such types directly and their subsequent use would not be portable. This proposal is similar to the Fortran 90 "ki...
...Fortran, LaTeX, Postscript, Tcl/Tk, LISP, Forth, Perl, Shell Scripts, Occam, COBOL, HTML, and others (according to their blurb). I don't see any links to examples that aren't part of their documentation (hence, heavily marked and annotated). short -- Documentation extraction tool distributed with GNU SmallTalk; looks like it's more of a modified pretty-printer than a text documentation tool. Auto...
...Fortran programs, and gradually acquired many features of scripting languages (variables, conditionals, loops, procedures and so on) with increasing awkwardness. Because Python has existing interfaces to so many different components in very different application domains, Python is ideal for oddball integration tasks. It can link a commercial database to number-crunching code; it can add a graphical user interface to a network management tool; it can send email from a virtual reality ...
...Fortran, PL/I, C, C++, Java...), all the way to "higher-level" languages which I had always used whenever feasible (Rexx, APL, AWK, Icon, Perl, Scheme...). But never had I met something that "fit my brain" as perfectly as Python. At my "real job", at that time, the language du jour was mostly C++, with a smattering of Visual Basic and a proprietary scripting language that had been developed in-house and was embedded in the applications we developed and sold. Howev...
...Fortran-90, MATLAB, IDL, and Mathematica, therefore provide two forms of the common arithmetic operators. One form works element-by-element, e.g. multiplies corresponding elements of its matrix arguments. The other implements the "mathematical" definition of that operation, e.g. performs row-column matrix multiplication. Zhu and Lielens have proposed doubling up Python's operators in this way. Their proposal would create six new binary infix operators, and six new in-place operators. The origi...
...FORTRAN implementation of complex scientific algorithms is usually much more efficient. Nexedi found the GNU Linear Programming Kit (GLPK) to be a good starting point for ERP5's linear programming needs. GPLK is written in C, and interfacing it to Python was achieved in only a couple of hours using the SWIG glue libraries. Nexedi now distributes a Python GLPK module, python-glpk, which provides the power of linear programming in Python. Conclusion The ERP5 abstract model has been found to redu...
...FORTRAN libraries and code? It would be a good idea at this stage to consider how to ease the integration of FORTRAN libraries and user code in Numeric 2. Implementation Steps Implement basic UFunc capability Minimal Array class: Necessary class attributes and methods, e.g. .shape, .data, .type, etc. Minimal ArrayType class: Int32, Real64, Complex64, Char, Object Minimal UFunc class: UFunc instantiation, CFunction registration, UFunc call for 1-D arrays including the rules for doing alig...
...fortranlib.compatibility": { "fortran_abi": "openblas-g77" } } Other distributions that contain binary extensions that need to be compatible with the base distribution would then define a suitable constraint in their own metadata: "python.constraints": { "installer_must_handle": true, "extension_metadata": { "fortranlib": { "fortranlib.compatibility": { "fortran_abi": "openblas-g77" } } } } This constraint specifies that: fortranlib must be installed (...
...Fortran-contiguous buffers correctly in the pure Python pickle implementation. release() Release the PickleBuffer's underlying buffer, making it unusable. On the C side, a simple API will be provided to create and inspect PickleBuffer objects: PyObject *PyPickleBuffer_FromObject(PyObject *obj) Create a PickleBuffer object holding a view over the PEP 3118-compatible obj. PyPickleBuffer_Check(PyObject *obj) Return whether obj is a PickleBuffer instance. const Py_buffer *PyPickleBuffer_GetBuffer...
...Fortran programmers as somehow less likely than anyone > else to learn something new is unlikely to produce any insight. C YES I AGREE. I STARTED OUT PROGRAMMING IN FORTRAN ON A TOPS-10 S 000100 C YSTEM AND OTHER SIMILAR MACHINES. ALTHOUGH, I MUST ADMIT, I STIL 000200 C L HAVE SOME BAD HABITS I PICKED UP FROM THOSE OLD DAYS, BY AND LA 000300 C RGE I BELIEVE I HAVE OVERCOME MOST OF THE WORST ONES. 000400 Nolo Contendre Subject: Re: Does Python meet the definitions of...
...FORTRAN for a few months back in the 1970s. Most hackers aren't these days, but somehow our culture seems to have retained a pretty accurate folk memory of how nasty those old-style fixed-field languages were. Indeed, the term "free format", used back then to describe the newer style of token-oriented syntax in Pascal and C, has almost been forgotten; all languages have been designed that way for decades now. Or almost all, anyway. It's hard to blame anyone, on seeing this Python featu...
...Fortran, or even Java, we would like it to be competitive with fast implementations of scripting languages, like V8 for Javascript or luajit for lua. Specifically, we want to achieve these performance goals with CPython to benefit all users of Python including those unable to use PyPy or other alternative virtual machines. Achieving these performance goals is a long way off, and will require a lot of engineering effort, but we can make a significant step towards those goals by speeding up the in...
...Fortran heritage.) If a class defines __cmp__ as well, it is only used when __lt__ etc. have been tried and return NotImplemented. Copyright This document has been placed in the public domain. Appendix Here is most of David Ascher's original proposal (version 0.2.1, dated Wed Jul 22 16:49:28 1998; I've left the Contents, History and Patches sections out). It addresses almost all concerns above. Abstract A new mechanism allowing comparisons of Python objects to return values other than ...
...Fortran code. tools for integrating C/C++ code. SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are q...
...Fortran programs running in university labs and military clusters, but those days are long gone. Number crunching is a mainstream part of modern Python usage. In addition, there is some precedence for adding an infix operator to handle a more-specialized arithmetic operation: the floor division operator //, like the bitwise operators, is very useful under certain circumstances when performing exact calculations on discrete values. But it seems likely that there are many Python programmers who ...