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E-Book Gallery for Microsoft Technologies

Download content for ASP.NET, Office, SQL Server, Windows Azure, SharePoint Server and other Microsoft technologies in e-book formats. Reference, guide, and step-by-step information are all available. All the e-books are free. New books will be posted as they become available.

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E-book gallery for microsoft technologies

Large collection of free microsoft eBooks

#Microsoft technologies books #books #free books #programming

Un año más los creadores del curso de expertos en desarrollo de videojuegos, con la salida de una nueva edición, han decidido liberar el materia...

I'll start with the conclusion: making backwards incompatible version of a language is a terrible idea, and it was bad a mistake. This mistake was somewhat corrected over the years by eventually adding features to both Python 2.7 and 3.3 that actually allow to run a single code base on both Python versions --- which, as I show below, was discouraged by both Guido and the official Python documents (though the latest docs mention it)... Nevertheless, a single code base fixes pretty much all the problems and it actually is fun to use Python again. The rest of this post explains my conclusion in great detail. My hope is that it will be useful to other Python projects to provide tips and examples how to support both Python 2 and 3, as well as to future language designers to keep languages backwards compatible.

What's in a Shadow?

Reconstructing a 3D object from its shadow, very interesting!

#python #numpy #3d objects

Do you debug python with breakpoints?

Interesting point of view about How debug different kinds of codes in python.

#python #codes #questions #debugging

KryPy

KryPy is a Python (versions 2 and 3) module for Krylov subspace methods for the solution of linear algebraic systems. This includes enhanced versions of CG, MINRES and GMRES as well as methods for the efficient solution of sequences of linear systems.

#Krypy #python #scientific computing

Top 400 Python Projects in Github

Popular Python projects in Github.

#python #proyects #github

Why use Python for scientific computing?

Why use Python for scientific computing? This is a legitimate question. For us, regular Python users, using Python is so natural that we sometimes forget that this choice is not obvious for everyone. Matlab is very widely used in some communities (e.g. experimental biologists) and choosing a different platform requires extensive proselytism. We need to find the right words to convince people that Python is really the future for scientific computing.

Glue is a Python library to explore relationships within and among related datasets.

#glue #python #Python library #data sets

Astronomical tools and Scipy 2013

#scipy #python #astrnomy

Pandas and Python: Top 10

I recently discovered the high-performance Pandas library written in Python while performing data munging in a machine learning project. Using simple examples, I want to highlight my favorite (and sometimes hard to find) features.

Apart from serving as a quick reference, I hope this post will help new users to quickly start extracting value from Pandas. For a good overview of Pandas and its advanced features, I highly recommended Wes McKinney’s Python for Data Analysis book and the documentation on the website.

#pandas #python

Import modules in Python

It's necesary and useful to developer, but exist some differences to import modules that can reduce time at the moment of compile your code.

1. If you want a wide variety of tools of a module, you can write this:

from module import *

An example of this case can be:

from math import * print sqrt(25) >>> 5.0 print cos(45) >>>0.5253219888177297

2. If you want to import all the content of module, you can write this:

import module

An example of this case can be:

import math print math.sqrt(25) >>>5.0

3. If you want to import only one tool, you can write this sentence:

from module import name

An example of this case can be:

from module import name An example of this case can be: from math import sqrt print sqrt(25) >>> 5.0

Notice the differences in the two first cases:

In the first, you only indicate the name of module to do the operation. on the contrary of the second, where you have to write the main module after the tool (math.sqrt()).

In aspects of efficiency, you should import only the necessary tools and avoid import all the module.

#python #python3 #import modules

Histogram, a useful web with Python's codes

Histogram has several pieces of python's codes about different topics: List comprehensions, dictionaries, strings, functions, mutability, collections. Which are useful to python's developers.

See link

#python #python3 #pynformatic #histogram #python codes

“Ignorance is not bad, the bad thing is when you do not want to learn.”

#quote #inspirational quotes

Scipy Tutorial

SciPy is a collection of mathematical algorithms and convenience functions built on the Numpy extension for Python. It adds significant power to the interactive Python session by exposing the user to high-level commands and classes for the manipulation and visualization of data. With SciPy, an interactive Python session becomes a data-processing and system-prototyping environment rivaling sytems such as MATLAB, IDL, Octave, R-Lab, and SciLab.

#Scipy #tutorials #python #python3

Is it possible that someday is produced the JAVA extinction ?, With this video You can see what could happen... Javapocalypse.

#javapocalypse #java

Books of python (for version 2 & 3) to learn basic concepts and more...

If you wish to buy other books, look this offer here.

#python #books

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