Although Visual Studio Code will be of help to those inexperienced with coding, perhaps Java programmers and so on, it doesn't offer a great deal of help visualising code for expert programmers. Having said that, the debug module is helpful for just about every type of coder.
Snap.py is a Python interface for SNAP. SNAP is a general purpose, high performance system for analysis and manipulation of large networks. SNAP is written in C++ and optimized for maximum performance and compact graph representation. It easily scales to massive networks with hundreds of millions of nodes, and billions of edges. Snap.py provides performance benefits of SNAP, combined with flexibility of Python. Most of the SNAP functionality is available via Snap.py in Python.Download and Installation of Snap.py The latest version of Snap.py is 1.0 (Mar 20, 2014). Packages for Mac OS X, Linux (as CentOS) and Windows 64-bit are available at Snap.py download. Snap.py requires that Python 2.7.x is installed on your machine. Supported versions of Python are the system version of Python on Mac OS X and Linux, and packages from python.org on Windows 64-bit. Python 2.7.x can be downloaded from the Python Download page. Make sure that you are using 64-bit Python 2.7.x packages. On Windows, Snap.py requires a 64-bit operating system version. Visual C++ Redistributable for Visual Studio 2012 must be installed on the system. To install Snap.py, download and unpack the package for your platform and run setup.py. Snap.py is largely self-contained and requires external packages only for drawing and visualization. The following packages need to be installed on the system to support drawing and visualization in Snap.py:Gnuplot for plotting structural properties of networks (e.g., degree distribution);
Graphviz for drawing and visualizing small graphs.
Set the system PATH variable, so that Gnuplot and Graphviz are available, or put the executables in the working directory.
Visual Studio For Mac Os X 10.7.5
Installation of Snap.py on Mac OS X On Mac OS X (supported releases are 10.7.5 or later), use the following commands: tar zxvf snap-1.0-2.2-macosx10.7.5-x64-py2.7.tar.gz cd snap-1.0-2.2-macosx10.7.5-x64-py2.7 sudo python setup.py install Installation of Snap.py on Linux On Linux, use the following commands: tar zxvf snap-1.0-2.2-centos6.2-x64-py2.6.tar.gz cd snap-1.0-2.2-centos6.2-x64-py2.6 sudo python setup.py install Installation of Snap.py on Windows 64-bit On Windows, verify that your operating system is 64-bit and that Visual C++ Redistributable for Visual Studio 2012 is installed, then unzip the Snap.py package and install it with the following command in the Command Prompt: cd snap-1.0-2.2-Win-x64-py2.7 python setup.py install Local Install of Snap.py If you want to use Snap.py in a local directory without installing it system-wide, then download the corresponding Snap.py package for your system, unpack, and copy files snap.py and _snap.so (or _snap.pyd) to your working directory. Documentation and Support Snap.py Tutorial and Manual are available. Snap.py is a Python interface for SNAP, which is written in C++. Most of the SNAP functionality is supported. For more details, check out SNAP C++ documentation. Use SNAP and Snap.py users mailing list for any questions or a discussion about Snap.py installation, use, and development. To post to the group, send your message to snap-discuss at googlegroups dot com. Quick Introduction to Snap.py This document gives a quick introduction to a range of Snap.py operations. Several programs are available to demonstrate the use of Snap.py. The programs are also useful as tests to confirm that your installation of Snap.py is working correctly: quick_test.py: a quick test to confirm that Snap.py works on your computer; intro.py: combines the code that is shown below on this page; tutorial.py: contains the code from Snap.py tutorial; tneanet.py: demonstrates the use of the TNEANet network class; cncom.py: demonstrates the use of functions for connected components; attributes.py: demonstrates the use of attributes in TNEANet network class. The code from intro.py is explained in more details below. All the code assumes that Snap.py has been imported by the Python program as: from snap import * Graph and Network Types Snap.py supports graphs and networks. Graphs describe topologies. That is nodes with unique integer ids and directed/undirected/multiple edges between the nodes of the graph. Networks are graphs with data on nodes and/or edges of the network. Data types that reside on nodes and edges are simply passed as template parameters which provides a very fast and convenient way to implement various kinds of networks with rich data on nodes and edges.
It appears to be that many Mac users, including myself, has had some trouble setting up Windows Phone SDK and run an WP emulator. I once gave up, but after spending some time searching and asking my coworkers around, I finally make Windows Phone 8 emulator runnable on my MacBook Pro, so before I totally forget how I did, I decide to blog and share it with you. (Notes: I am still on OS 10.7.5, on 2.4 GHz Intel Core MacBook Pro, with 8GB memory. and VMWare Fusion 4.1.4, not the latest.) 2ff7e9595c
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