Compile Windows programs on Linux. This past year I purchased a laptop that came with two drives, a small 24GB SSD and a larger 1TB HDD.
My configuration has placed the root filesystem (i.e. /) on the SSD and my home directory (i.e. /home) on the HDD so that I benefit from very fast system booting and application loading but still have loads of space for my personal files. The only downside to this configuration is that linux is sometimes not the best at ensuring your SSD lives a long life. Unlike HDDs, SSDs have a finite number of write operations before they are guaranteed to fail (although you could argue HDDs aren’t all that great either…). Matplotlib: python plotting. Pyplot. Numpy.array — NumPy v2.0.dev-0c1c499 Manual. Graphics with Matplotlib. Matplotlib is a large and sophisticated graphics package for Python written in object oriented style.
However, a layer built on top of this basic structure called pyplot accesses the underlying package using function calls. Python Programming Language – Official Website. Root Finding Method « Numerical Analysis. A root finding algorithm is a numerical method of finding an for a given function such that.
ParallelProcessing. A number of Python-related libraries exist for the programming of solutions either employing multiple CPUs or multicore CPUs in a symmetric multiprocessing (SMP) or shared memory environment, or potentially huge numbers of computers in a cluster or grid environment.
This page seeks to provide references to the different libraries and solutions available. Symmetric Multiprocessing Some libraries, often to preserve some similarity with more familiar concurrency models (such as Python's threading API), employ parallel processing techniques which limit their relevance to SMP-based hardware, mostly due to the usage of process creation functions such as the UNIX fork system call. However, a technique called process migration may permit such libraries to be useful in certain kinds of computational clusters as well, notably single-system image cluster solutions (Kerrighed, OpenSSI, OpenMosix being examples).
Cluster Computing Cloud Computing. 17.6. multiprocessing — Process-based “threading” interface — Python v2.6.4 documentation. New in version 2.6. 17.6.1.
Introduction multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Parallel Python - Parallel Python documentation. Module API Quick start guide, SMP Quick start guide, clusters Quick start guide, clusters with auto-discovery Advanced guide, clusters Command line arguments, ppserver.py Security and secret key ppserver.py stats and PID file example PP FAQ 1) Import pp module: import pp 2) Start pp execution server with the number of workers set to the number of processors in the system job_server = pp.Server() 3) Submit all the tasks for parallel execution: f1 = job_server.submit(func1, args1, depfuncs1, modules1) f2 = job_server.submit(func1, args2, depfuncs1, modules1) f3 = job_server.submit(func2, args3, depfuncs2, modules2) ...etc... 4) Retrieve the results as needed:
MPI for Python. MPI for Python — MPI for Python v1.2.2 documentation. Mpiexample. Python Tutorial. The Python Tutorial — Python v2.7.2 documentation. Python is an easy to learn, powerful programming language.
It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation.
The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. Coding style - What is a clean, pythonic way to have multiple constructors in Python. Python - Object Oriented. Python has been an object-oriented language since it existed.
Because of this, creating and using classes and objects are downright easy. This chapter helps you become an expert in using Python's object-oriented programming support. If you do not have any previous experience with object-oriented (OO) programming, you may want to consult an introductory course on it or at least a tutorial of some sort so that you have a grasp of the basic concepts. However, here is small introduction of Object-Oriented Programming (OOP) to bring you at speed − Overview of OOP Terminology. Kapitel 12: Klassen und Objekte. Die Programmiersprache Python. The GNU C Programming Tutorial. Node:Programming with pipes, Next:Low-level file routines, Previous:Single-character input and output, Up:Input and output Programming with pipes There may be times when you will wish to manipulate other programs on a GNU system from within your C program.
One good way to do so is the facility called a pipe . For example, you might wish to send output from your program to a printer. Pipes are useful for many things, not just sending output to the printer. Fgets. C von A bis Z – 13 Kommandozeilenargumente. In der heutigen »Look&Feel«-Zeit scheinen Kommandozeilenprogramme schon ein wenig veraltet zu sein.
Popen Tutorial. This article will outline how to call shell commands from your C program using the system() call and the popen() functions. The system() call and the popen() call each have their place and differ enough to give an example and explanation of both. Execute a Shell Command Using system() The system() function takes a string as its argument, this string should consist of the shell command you wish to call. Its return value must be run through another function call to retrieve the result of your executed shell command. Cplusplus.com - The C++ Resources Network. The CImg Library - C++ Template Image Processing Toolkit. Numerical Recipes in C. Acrobat Edition Also available is a PostScript edition. Thanks to special permission from Cambridge University Press, we are able to bring you the complete Numerical Recipes in C book On-Line!
To utilize this resource, you will need an Adobe Acrobat viewer linked as a helper program to your WWW browser. Permission is granted by the copyright owners for users of the World Wide Web to make one paper copy of these PostScript files for their own personal use. Further reproduction, or the extraction of, or copying of, machine readable files to any server computer, is strictly prohibited. Want to download the Numerical Recipes routines? 1 Preliminaries 2 Solution of Linear Algebraic Equations 3 Interpolation and Extrapolation 4 Integration of Functions 5 Evaluation of Functions 6 Special Functions 7 Random Numbers 8 Sorting 9 Root Finding and Nonlinear Sets of Equations. Cairographics.org. TU Chemnitz, Fakultät für Mathematik: Faculty of M...: Download. Computergraphik II. Diese Vorlesung führt in die fortgeschritteneren und komplexeren Methoden der Computergraphik ein. Voraussetzung ist der Stoff aus der Vorlesung "Einführung in die Computer-Graphik".