2.7.3.1 – Portable Python. This package contains following applications/libraries: PyScripter v2.5.3 NymPy 1.6.1 SciPy 0.10.0 Matplotlib 1.1.0 PyWin32 216 Django 1.4 PIL 1.1.7 Py2Exe 0.6.9 wxPython 2.9.3.1 NetworkX 1.6 Lxml 2.3 PySerial 2.5 PyODBC 3.0.2 PyGame 1.9.1 PyGTK 2.24.2 PyQt 4.9.1-1 Package file size (compressed): 90MB Installed size: based on selected packages, between 49MB and 480MB Warning: default installation installs all packages and this can be a long process especially if the target location is USB drive.
Packages can be selected/deselected during the installation process. Package file hash: MD5 - 10b27b73915020ce4d8e4a3447b31004 SHA1 - 2c557c4f9055dfa0a29eb9f40f5c00cb1fd3d4ce Download this package from our archives:
The Secret of a Successful Programming Language? A Really Great Beard. C creators Ken Thompson and Dennis Ritchie, genius guys with genius beards Java inventor James Gosling, a clear sign that the success of a programming language depends on facial hairPhoto: Wikipedia C++ creator Bjarne Stroustrup had the necessary facial hair.
But then he made the mistake of shaving it offPhoto: Wikipedia John McCarthy. His beard survived for 50 years -- and so did Lisp.Photo: Wikipedia Alan Kay, the creator of SmallTalk, a seminal language that suffered from a lack of chin hair. Photo: Wikipedia Perl rocks. But it would have rocked harder if Larri Wall had grown a beardPhoto: Wikipedia Thomas Kurtz built BASIC. And all he had was a basic mustachePhoto: Jim Cole/AP You stil using SIMULA? Why do some programming languages take over the world while others wallow in obscurity? Two academics at Princeton and the University of California, Berkeley are combing through mountains of data trying to tackle this mystery of the modern world.
Python. Sigamos aprendiendo Python. La semana pasada dos héroes de Python nos contaron sus experiencias trabajando con el lenguaje y Gissela, con la ayuda de Adán Sánchez nos mostraron cómo se utiliza Python y Django en Mejorando.la dónde profundizamos más en el código.
Nuevos capítulos de la guía Python En busca de generar mayor contenido los capítulos de Python aún no se han convertido en eBook como usualmente lo hacemos, Alvaro Martínez, trabaja desde hace tres años con Python, es desarrollador y moderador del foro Python en Foros del Web ha realizado 4 capítulos para integrar en la guía desarrollando los temas: Conociendo a detalle las secuenciasCadenas de textoExpresiones regulares en Python.Trabajando con listas, funciones y archivos.
Algunos temas que Alvaro desarrollará han sido tratados en otros capítulos por Eugenia Bahit, sin embargo, el fin es también aclarar algunos aspectos de forma específica. No olvides revisar los capítulos anteriores de la guía Python: PyInstaller. PyInstaller is a program that converts (packages) Python programs into stand-alone executables, under Windows, Linux, Mac OS X, Solaris and AIX.
Its main advantages over similar tools are that PyInstaller works with any version of Python since 2.4, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and use the OS support to load the dynamic libraries, thus ensuring full compatibility. The main goal of PyInstaller is to be compatible with 3rd-party packages out-of-the-box. This means that, with PyInstaller, all the required tricks to make external packages work are already integrated within PyInstaller itself so that there is no user intervention required. You'll never be required to look for tricks in wikis and apply custom modification to your files or your setup scripts. As an example, libraries like PyQt, Django or matplotlib are fully supported, without having to handle plugins or external data files manually. Features ¶ Downloads ¶ License ¶ Crossplatform Framework for NUI.
Become a Programmer, Motherfucker. If you don't know how to code, then you can learn even if you think you can't.
Thousands of people have learned programming from these fine books: Learn Python The Hard Way Learn Ruby The Hard Way Learn Code The Hard Way I'm also working on a whole series of programming education books at learncodethehardway.org. Learn C The Hard Way Learn SQL The Hard Way Learn Regex The Hard Way Graphics Programming Language Agnostic NerdDinner Walkthrough Assembly Language Bash Clojure Clojure Programming ColdFusion CFML In 100 Minutes Delphi / Pascal Django Djangobook.com Erlang Learn You Some Erlang For Great Good Flex Getting started with Adobe Flex (PDF) The “Invent with Python” Blog. I've written an article for OpenSource.com called APIs, not apps: What the future will be like when everyone can code, where I write about a coming future where programming ability is in the hands of everyone.
Excerpt: Despite this hype, I do think that coding will become a more widespread and routine skill in the years to come. Programmable technology will continue to pervade more parts of our life, computers will continue to become more accessible to a wider population, and the world will continue to become more complex. Understanding coding (and debugging) will naturally go with it....These are areas where non-programmers can significantly boost their productivity by learning to code.