Pygame. Pysize's homepage. JPype - Java to Python integration. Understanding Python’s ‘super’ « Modern Programming World. When I started programming with Python (a switch I would urge any casual utility programmer to make), I learned basic syntax. I very very quickly learned that if you’re ever wondering if there’s the proverbial “better way” to do something, then there is probably already a utility built into Python to accomplish the task. Consider the ‘super’ functionality in Python: when I first encountered this, I had no idea what it was or what it meant.
Furthermore, the documentation on it is very obscure and doesn’t seem to clarify anything about what it does. I Google’d it (of course) and instantly found results with titles like “Python’s Super Considered Harmful” and “Problems with the new super()“. Encouraging. It wasn’t until I began working in Django, a pure Python-based web framework (which I would highly recommend, if you’re in the web business: ), when I was reading over others’ source code that I realized what you could do with super.
We instantiate with this: Inmersión en Python/Tipos de datos nativos/Presentación de las tuplas. De Wikilibros, la colección de libros de texto de contenido libre. Una tupla es una lista inmutable. Una tupla no puede cambiar de ninguna manera una vez creada. Ejemplo 3.15. Definir una tupla >>> t = ("a", "b", "mpilgrim", "z", "ejemplo") [1]>>> t ('a', 'b', 'mpilgrim', 'z', 'ejemplo') >>> t[0] [2] 'a' >>> t[-1] [3] 'ejemplo' >>> t[1:3] [4] ('b', 'mpilgrim') [1] Una tupla se define de la misma manera que una lista, excepto que el conjunto de elementos se encierra entre paréntesis en lugar de corchetes. [2] Los elementos de una tupla tienen un orden definido, como una lista.
. [3] Los índices negativos cuentan desde el final de la tupla, justo como en una lista. [4] También funciona el slicing. Ejemplo 3.16. >>> t ('a', 'b', 'mpilgrim', 'z', 'ejemplo') >>> t.append("nuevo") [1] Traceback (innermost last): File "<interactive input>", line 1, in ? [1] No puede añadir métodos a una tupla. . [2] No puede eliminar elementos de una tupla. . [3] No puede buscar elementos en una tupla. Más sobre tuplas. 11.13. sqlite3 — DB-API 2.0 interface for SQLite databases — Python v2.7 documentation. New in version 2.5. SQLite is a C library that provides a lightweight disk-based database that doesn’t require a separate server process and allows accessing the database using a nonstandard variant of the SQL query language. Some applications can use SQLite for internal data storage.
It’s also possible to prototype an application using SQLite and then port the code to a larger database such as PostgreSQL or Oracle. The sqlite3 module was written by Gerhard Häring. It provides a SQL interface compliant with the DB-API 2.0 specification described by PEP 249. To use the module, you must first create a Connection object that represents the database. Here the data will be stored in the example.db file: import sqlite3conn = sqlite3.connect('example.db') You can also supply the special name :memory: to create a database in RAM. Once you have a Connection, you can create a Cursor object and call its execute() method to perform SQL commands: Instead, use the DB-API’s parameter substitution. 11.13.1. Vim as a Python IDE. This project converts vim in full Python/Django editor. I have included the plugins I like best to adapt vim/gvim to my daily Python and Django project editing.
In the actual configuration I have removed pylint as compiler and it uses Pyflakes. It has some issues with Linux and Mac G5 configuration but it works like a charm in Linux i386. Pyflakes is not as powerfull as Pylint but is much much faster. In your home directory hg clone trespams-vim install pylint (pip install pylint or easy_install python or apt-get install pylint) Then you can backup your actual .vimrc and .vim folder and remove it ln -s ~/trespams-vim/.vimrc . ln -s ~/trespams-vim/.vim .
In this way each time you update the project you'll have the changes Then you must create the backups and swap dirs. mkdir $HOME/temp mkdir $HOME/temp/vim_backups/ mkdir $HOME/temp/vim_swp/ If this folder is not present it would try to use the more usual temp folders. Utilities Surround Other tips. [Python-es] Saludos y Pregunta. (Django vs Web2py) Yo utilizo web2py no requiere instalacion para empesar a desarrollar. es seguro, potente, etc... visita www.web2py.com es facil!!!
Ejemplo, para crear una aplicacion y montarla en google app engine, simplemente te lees las instrucciones que te da google y listo. tiene un API Excelente, yo lo leo regularmente... no tienes que aprender funciones raras con nombres largos si te vas iniciar en la programacion web, te recomiendo estar claro en: HTML, javascript (basico), algún frameword de javascript: JQuery, prototype, mototool JSON XML.
(como mínimo) hay sitios buenos: www.maestrosdelweb.com www.sentidoweb.com www.forosdelweb.com la lista en ingles de web2py es buena! Y el creador del frameword te contesta las preguntas personal mente.. osea! Si te limita el ingles.. ummm bueno... utilizando gmail, puedes traducir los correos... yo lo hago. -- Díaz Luis TSU Analisis de Sistemas Universidad de Carabobo. Web2Py para todos. A continuación mostraremos un pantallazo rápido sobre las características principales de web2py.
Nota: Los links solo funcionan si está web2py funcionando en la máquina local, puerto 8000 (configuración por defecto). Importante: El idioma de las páginas web varían de acuerdo a la configuración del navegador (disponible: Ingles, Español, Portugues, etc.) Bienvenida Al iniciar el servidor, web2py lanzará un explorador con la página de bienvenida predeterminada: Esta página es la aplicación predeterminada, un "esqueleto" que se usa cuando creamos aplicaciones en web2py.
Básicamente tenemos varios enlaces a la interfaz administrativa, documentación y ejemplos interactivos; y una breve descripción sobre la página que estamos viendo: Visitó la URL ... Interfaz Administrativa Una vez que tenemos web2py funcionando y vemos la página de inicio, podemos empezar a crear y editar nuestras aplicaciones web, dirigiéndonos a la interfaz administrativa: Conjuntos en Python. Como en Python todo es un objeto, los conjuntos no son la excepcion.
A traves de métodos, podremos operar entre conjuntos. Todo lo que esté con el símbolo indica que no es necesario leerlo, pero puede resultar interesante para aquellos que no saben en que consiste cada operacion. DeclaraciónPrimero, ¿como declaramos un conjunto? >>> T = (1,2,3,4,5,5)>>> conjuntoT = set(T) #Con set() definimos el conjunto >>> conjuntoTset([1, 2, 3, 4, 5]) >>> L = [1,2,3,4,5,5]>>> conjuntoL = set(L) >>> conjuntoL set([1, 2, 3, 4, 5])>>> C = 'Hola Mundo' >>> conjuntoC = set(C) >>> conjuntoC set(['a', ' ', 'd', 'H', 'M', 'l', 'o', 'n', 'u']) Por definicion de la teoría de conjuntos los elementos perteneciente a un conjunto no se re repiten, fijense en los dos primeros casos en T y L se repite el 5 y en conjuntoT y conjuntoL, solo hay un 5. Unión >>> A = set([1,2,3,4,5])>>> B = set([3,4,5,6,7])>>> A|B set([1, 2, 3, 4, 5, 6, 7]) Definicion: Dado un conjuto A y un conjuto B cualquiera.
Interseccion Diferencia. Revista PET: Python Entre Todos. Efficient String Concatenation in Python. There is a Russian translation of this article, kindly provided by Artyom Scorecky (tonnzor). An assessment of the performance of several methods Introduction Building long strings in the Python progamming language can sometimes result in very slow running code. In this article I investigate the computational performance of various string concatenation methods. In Python the string object is immutable - each time a string is assigned to a variable a new object is created in memory to represent the new value. This contrasts with languages like perl and basic, where a string variable can be modified in place. The common operation of constructing a long string out of several short segments is not very efficient in Python if you use the obvious approach of appending new segments to the end of the existing string. What other methods are available and how does their performance compare?
The test case I used is to concatenate a series of integers from zero up to some large number. Six Methods. Bienvenido a Sushi, huh? descargador de paquetes para sistemas GNU/Linux sin conexion a internet. LamsonProject: Lamson The Python Mail Server. UserGuide - JythonWiki. Intro For a look at the Jython internal API see the generated JavaDoc documentation.
General Python Documentation Since Jython is an implementation of Python for the JVM, most of the standard Python documentation applies. Look in the following places for general information: The Python Tutorial (start here)The Python Library Reference. Invoking the Jython Interpreter Jython is invoked using the "jython" script, a short script that invokes your local JVM, sets the Java property install.path to an appropriate value, and then runs the Java classfile org.python.util.jython. jython [options] [-c cmd | -m mod | file | -] [arg] ... options -i: Inspect interactively after running script; force prompts even if stdin is not a terminal. -S: Do not imply import site on initialization -Dprop=[value]: Set the jython property prop to value. -jar jar the program to run is read from the __run__.py file in the specified jar file.
-c cmd program to run is passed in as the cmd string. Filter file | jython - args --help or. WhyJython - JythonWiki. Jython, lest you do not know of it, is the most compelling weapon the Java platform has for its survival into the 21st century - SeanMcGrath Why Jython There are numerous alternative languages implemented for the Java VM. The following features help to separate Jython from the rest: Dynamic compilation to Java bytecodes - leads to highest possible performance without sacrificing interactivity. What Does Jython Do Well?
Prototyping Java investigation >>> from java.util import Date >>> d = Date() >>> print d Sat Jan 08 16:26:16 CST 2005 >>> from java.util import Random >>> print dir(Random) ['__init__', 'nextBoolean', 'nextBytes', 'nextDouble', 'nextFloat', 'nextGaussian', 'nextInt', 'nextLong', 'seed', 'setSeed'] >>>Making bean properties accessible >>> print Date().time 1105500911121Glues together libraries already written in Java Excellent embedded scripting language Object Domain UML Tool PushToTest Drools Differences - Python & Jython Python 2.7 Jython 2.7. JythonFaq/GeneralInfo - JythonWiki. JythonFaq What is Jython? Jython is the successor to JPython. The Jython project was created in accordance with the CNRI JPython 1.1.x license, in order to ensure the continued existence and development of this important piece of Python software.
The intent is to manage this project with the same open policies that are serving CPython so well. Mailing lists, Subversion and all current information on the Jython project is available at SourceForge, at Note that the project is migrating over to using Mercurial and will be soon available at hg.python.org What is JPython? JPython is an implementation of the Python programming language which is designed to run on the Java(tm) Platform. The name had to be changed to something other than JPython, because of paragraph 4 in the JPython-1.1 license: 4. JPython 1.1 was released on 28-Jan-2000. Is Jython the same language as Python? Yes. There are a number of differences. What is the current status of Jython? Hidden features of Python. 36 libros Python. Popular Python recipes. Python - Notes.
Package Index : Isomyr 0.1. A Python Isometric Game Engine. <><> I S O M Y R <> A Python Isometric Game Engine i-so-myr: (n) Any of one or more scenes with the same measurements in foreground and background, that have different properties and can exist in any of several game worlds for a measurable period of time. Isomyr is an isometric game engine based on Pygame, and written in Python. A fork of the Isotope game engine, it provides the framework for constructing an isometric graphics game with actors who can pick up and drop objects, jump onto plaforms, and move about in projected 3d isometric environments. Actors: used for player and monster game objects. Capable of facing, gravity, collision response, jumping, automation and inventory.Multiframe animation and images.Simple physics simulation of velocity, collision and touch detection.All objects can be customised and extended using Python.
Development If you want to develop for txSpore or use the latest code we're working on, you can install from the sources. . $ . ENTRADA DE DATOS EN PYTHON. Que seria de un progama sin la interaccion con los usuarios :) pues no servirian de a mucho, bueno sin tanto rodeos veamos: def main():____n = int(input("Digite:"))____print (n*2) if __name__=="__main__":main() En Python 2.x tenemos input() para capturar enteros y float y raw_input() para cadenas pero desde python3.x solo existe input() y el valor que capture es siempre una cadena asi que si queremos que sea entero lo covertimos con la funcion int() y si queremos un float con la funcion float() convertimos el dato capturado a float asi: def main():____n = float(input("Digite:"))____print (n*2) if __name__=="__main__":main()para capturar una simple cadena de texto seria: def main():____n = input("Digite:")____print (n*2) Bueno si queremos validar datos para eso tenemos las excepciones en python pero ese tema lo veremos mas adelante por ahora miren un ejemplo que hize para capturar solo un entero: def main():____while True:______try:______n = int(input("Digite:"))______break.
Singleton? We don't need no stinkin' singleton: the Borg design pattern. The 'Singleton' DP is all about ensuring that just one instance of a certain class is ever created. It has a catchy name and is thus enormously popular, but it's NOT a good idea -- it displays different sorts of problems in different object-models. What we should really WANT, typically, is to let as many instances be created as necessary, BUT all with shared state.
Who cares about identity -- it's state (and behavior) we care about! You can ensure this in many ways in Python, but the Borg design pattern is almost always best. Note that __getattr__ and __setattr__ are not involved -- they can be defined independently for whatever other purposes, or left undefined (and __setattr__, if defined, is NOT called for the rebinding of __dict__ itself). 1. Introducción — Tutorial de Python v2.6.2 documentation. Python en:Exceptions - Notes. You have seen how you can reuse code in your program by defining functions once. What if you wanted to reuse a number of functions in other programs that you write? As you might have guessed, the answer is modules. There are various methods of writing modules, but the simplest way is to create a file with a .py extension that contains functions and variables. Another method is to write the modules in the native language in which the Python interpreter itself was written.
For example, you can write modules in the C programming language and when compiled, they can be used from your Python code when using the standard Python interpreter. A module can be imported by another program to make use of its functionality. Example (save as module_using_sys.py): import sys print('The command line arguments are:')for i in sys.argv: print i print '\n\nThe PYTHONPATH is', sys.path, '\n' How It Works First, we import the sys module using the import statement. 11.1. 11.2. 11.3. 11.4. 11.5. 11.6. 11.7. Eric4 web browser tutorial. ENTRADA DE DATOS EN PYTHON. Guía de la privacidad.
Zona Qt | Comunidad de usuarios de Qt. The PyCon 2007 podcast. FAQ de Python ES: Preguntas frecuentes de Python-ES. The lalita IRC bot in Launchpad. Panda Cloud Antivirus GRATIS – El primer antivirus gratuito en la nube contra virus, spyware, rootkits y adware. Tutorial de wxPython - paso a paso | RetroNet. Ejercicios Python.