Notice: While JavaScript is not essential for this website, your interaction with the content will be limited. Please turn JavaScript on for the full experience.

Search Python.org

Results

  • SIG for development of Python/C++ integration

    ...case where no exception is thrown, and throwing an exception can pose serious performance penalties. Secondly, enough C++ implementations have bugs in their exception-handling mechanisms that it is best not to rely on exceptions for routine control flow. Goal: Modification of the type conversion mechanism so that overloading can be implemented without the use of C++ exceptions. C++ to Python Exception Translation It is critical for any mature C++ software packag...

  • Glue It All Together With Python

    ...cause Python cannot call C/C++ functions directly; the glue extensions handle conversion between Python data types and C/C++ data types and error checking, translation error return values into Python exception. Creation of glue extensions is simplified by the existence of SWIG, which reads header files containing function and method prototypes and automatically generates the necessary type conversion and error checking code. In situations where the underlying code (usually C code) doe...

  • The Python 2.3 Method Resolution Order

    ...class C. For instance, in the case of single inheritance hierarchy, if C is a subclass of C1, and C1 is a subclass of C2, then the linearization of C is simply the list [C, C1 , C2]. However, with multiple inheritance hierarchies, the construction of the linearization is more cumbersome, since it is more difficult to construct a linearization that respects local precedence ordering and monotonicity. I will discuss the local precedence ordering later, but I can give the definition of monotonicit...

  • SIG for Supporting Use of the Python/C API

    ...C API SIG for Supporting Use of the Python/C API The Python/C API SIG is a forum for discussions about the discussion and support using the Python/C API in extending or embedding python.

  • SIG on Python bindings for Objective-C/NeXTSTEP/OpenStep

    ...ctive C connection lives on in the PyObjC project at SourceForge! The purpose of this SIG is to complete a Python extension module binding the Objective-C and Python runtime systems. Goals include: Providing the ability to dynamically call from Objective-C to Python and vice versa. Resolving the syntactic differences between the languages. Providing the ability to move inheritance, interface, and implementation easily across the Python/Objective-C boundary. Generic...

  • Event – Extending Python in C (Cluj.py)

    ,

    Location: Chaos Club Cluj, Ferdinand 6, Cluj-Napoca, Romania

    Extending Python in C

  • Objective-C SIG Status

    ...ctive-C SIG Status Objective-C SIG Status Lele Gaifax has recently posted a much improved module to provide Python bindings to the Objective-C runtime. Bill Bumgarner is archiving the latest releases, along with quad-fat binaries and other useful Objective-C/Python stuff. Bill's archive is available at ftp://ftp.thoughtport.net/pub/next/lang/

  • Other Documentation Tools

    ...ceForge project page). AutoDoc -- Documentation generator for Tcl. I don't see any online examples of actual source files, but the sources for the tool are documented using itself. ROBODoc -- Another multi-lingual tool, supports C, C++, Java, Assembler, Basic, Fortran, LaTeX, Postscript, Tcl/Tk, LISP, Forth, Perl, Shell Scripts, Occam, COBOL, HTML, and others (according to their blurb). I don't ...

  • Python Patterns - Implementing Graphs

    ...ccidental usage of find_graph() instead of find_path() Copyright (c) 1998, 2000, 2003, 2019 Python Software Foundation. All rights reserved. Licensed under the PSF license. Graphs are networks consisting of nodes connected by edges or arcs. In directed graphs, the connections between nodes have a direction, and are called arcs; in undirected graphs, the connections have no direction and are called edges. We mainly discuss directed graphs. Algorithms in graphs include...

  • Python Success Stories

    ...ce successfully licensed the product to a number of companies and beat popular branded competitor products in reviews. The product stands as a testament, at least to the team here, that Python is viable for commercial systems-level development and not just a scripting language. Python is now a preferred language at our company for any systems development projects -- except, of course, device drivers! About the Author Marcus Low (marcus at enovad dot com) is the R&D Director for Enovad, Mal...

  • Unifying types and classes in Python 2.2

    ...class constraint. For example: # Metaclasses class M1(type): ... class M2(M1): ... class M3(M2): ... class M4(type): ... # Regular classes class C1: __metaclass__ = M1 class C2(C1): __metaclass__ = M2 class C3(C1, C2): __metaclass__ = M3 class D(C2, C3): __metaclass__ = M1 class C4: __metaclass__ = M4 class E(C3, C4): pass For class C2, the constraint is satisfied because M2 is a subclass of M1. For class C3, it is satisfied because M3 is a...

  • Python Success Stories

    ...C++ macros to try to turn a declarative description of the schema into executable code. The better way to do it is with code generation: a program that writes programs. We could use a tool to read the schema and generate the C++ code, then compile that generated code into the product. We needed a way to read the schema description file and output pieces of code that could be integrated into our C++ sources to be compiled with the rest of the product. Rather than write a program specific to our...

  • Python Success Stories

    ...cords shows that 360 days were spent on 77K lines of Python code and 300 days (almost as much) on 44K of C, C++, or other code. From our experience with code conversions, we believe it is roughly correct for most types of performance-critical code to equate one line of Python with ten lines of C or C++ code. This means that about 5-10% of our application functionality is in C or C++ and the rest is in Python. Even considering that the C/C++ code is somewhat more complex than most of the Python c...

  • Unifying types and classes in Python 2.2

    ...classes class C1: __metaclass__ = M1 class C2(C1): __metaclass__ = M2 class C3(C1, C2): __metaclass__ = M3 class D(C2, C3): __metaclass__ = M1 class C4: __metaclass__ = M4 class E(C3, C4): pass For class C2, the constraint is satisfied because M2 is a subclass of M1. For class C3, it is satisfied because M3 is a subclass of both M1 and M2. For class D, the explicit metaclass M1 is not a subclass of the ...

  • Unifying types and classes in Python 2.2

    ...classes class C1: __metaclass__ = M1 class C2(C1): __metaclass__ = M2 class C3(C1, C2): __metaclass__ = M3 class D(C2, C3): __metaclass__ = M1 class C4: __metaclass__ = M4 class E(C3, C4): pass For class C2, the constraint is satisfied because M2 is a subclass of M1. For class C3, it is satisfied because M3 is a subclass of both M1 and M2. For class D, the explicit metaclass M1 is not a subclass of the ...

  • Unifying types and classes in Python 2.2

    ...classes class C1: __metaclass__ = M1 class C2(C1): __metaclass__ = M2 class C3(C1, C2): __metaclass__ = M3 class D(C2, C3): __metaclass__ = M1 class C4: __metaclass__ = M4 class E(C3, C4): pass For class C2, the constraint is satisfied because M2 is a subclass of M1. For class C3, it is satisfied because M3 is a subclass of both M1 and M2. For class D, the explicit metaclass M1 is not a subclass of the ...

  • Python Success Stories

    ...ce to the factory control system, and also took on some additional tasks: Control of the tools and data collection from the tools using SECS, which is a communication protocol used in automation of electronics manufacturing facilities Dispatch of collected data to mainframe and PC databases. This data is used by manufacturing and engineering to monitor the product, and is also used to automatically tune the performance of the tools. Automation of logistical control by recording the arrival and...

  • Python Success Stories

    ...Charlie Fly, who has cranked out some 17,000 source lines of code (SLOC). Python plays the central role, managing data interactions and the task network, as shown in Figure A. Figure A: Python plays a central role in data interaction. In the system, user tasks communicate with a Python data server, which in turn connects to an Oracle server via DCOracle. Using Oracle's built-in trigger mechanism to send a message to WAS as data records are updated, the WAS calculates which tasks are now data-...

  • Python Success Stories

    ...concerns are easily addressable using C extensions, or by building on a multi-process execution model. Conclusion In summary, we believe the choice to base our product technology on Python provides WordStream with a strategic, technological advantage over our competitors because of the increased productivity, reliability and extensibility that it enables. About the Authors Gerard Escalante is Vice President of Engineering at WordStream. He has a Bachelor of Applied Science degree in Computer...

  • Comparing Python to Other Languages

    ...ctures, and executes typical code much slower than Python. Tcl also lacks features needed for writing large programs, such as modular namespaces. Thus, while a "typical" large application using Tcl usually contains Tcl extensions written in C or C++ that are specific to that application, an equivalent Python application can often be written in "pure Python". Of course, pure Python development is much quicker than having to write and debug a C or C++ component. It has been said that Tcl's...

« Previous | Next »

Python language documentation

If you didn't find what you need, try your search in the Python language documentation.