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Stay alert with the small tool Free Port Explorer. The screen of the program stays minimalist and it’s easy to spot open ports, used to scan the network.
Most of the users are familiar with the terms port scanning, port monitoring and port statistics. But they rarely look to a program that is open and free to use. Even if you are sure that you do not need a program for a specific purpose, it’s worth to take a look at this tool that is described as being simple, lightweight, portable, and easy to use.
Free Port Explorer is the perfect tool for those who are looking for open ports and IP addresses of connected computers on the network. You can use it at home, at the office or during an online connection, making sure that your system is safe from online attacks.
In order to access the service of Free Port Explorer, you need to download the executable file that is freely available from the Internet and use it to scan your network for opened ports. Once you start the program, you’ll notice that it will ask for administrator access, but you can also go to the Options and disable this prompt.
After opening the program, you will see a window that has a simple interface with three main tabs: Status, Scanned and Running. The first two tabs are just for viewing the information of the opened ports, while the third one lists the processes that are responsible for the open ports on the network.
You’ll also notice the two icons on the top right of the program’s interface: Open and Update. With the Open icon, you can send the list of open ports to your clipboard, while the Update icon allows you to refresh the list or to open a new session.
When you close the program, a summary will appear in the notification area of your system tray. It will inform you about how many ports were opened and how much data were stored. You can see the data stored in a csv file as well, which allows you to export them and use them for offline analysis.
Free Port Explorer is open source software and it’s freely available from the authors website, The license allows you to use and copy it, but allows you to give it away as a gift to other users. However, you can not modify or redistribute it in any form.
Features of Free Port Explorer
Simple interface
The interface of the program is quite simple, but it offers just the basic features for scanning and monitoring ports on your system. You can eea19f52d2

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pyCGNS is an open source library for working with CGNS files, that allows CGNS files to be loaded into the Python programming environment.
It provides users with a complete interface for the SIDS language, that allows it to be used in Python scripts.
Features
pyCGNS comes with a set of tools and Python modules that are helpful for CGNS users.
The following are some of the features available:
– pyCGSN API
– MLL Wrapper
– Generators, and I/O
– SIDS file reader/writer
– Navigator
– CGNS file parser
– CGNS data model viewer
– CGNS test suite
– Documentation
The following Python modules are available for pyCGNS:
– gfortran, ifort, mpi
– gcws, hdf5, openmpi
– pySID
– CGNSTools
– MLL
– Navigator
– SIDS
– Parser
– FileIO
License
pyCGNS is open source software and is available under the MIT License.
Repository:

Contact:
hkamali (at) gmail (dot) com

[pySPARSE](
pySPARSE is a high-level data structure package for Python, including Cython, which provides a much-simplified interface to the sparse matrix algebra functions from scipy.sparse.
The following are the main features provided by pySPARSE:
* Simplified interface to scipy sparse matrices
* Highly optimized sparse matrix and vector operations
* Works with NumPy arrays
* Data storage class for handling COO and CSR sparse matrices
* Data structure to handle CSC and CSR sparse matrices
* Lightweight and memory efficient matrix operations
* Extensive documentation with examples
* Example applications in Finance and Machine Learning
* Active maintenance
Installation
To install pySPARSE, run the following from the command line:
pip install pySPARSE
Using pySPARSE
pySPARSE provides a very simple interface for working with the sparse matrix operations. The following sections provides an overview of the main functions, usage examples, and some of the examples that demonstrate how to use pySPARSE.
Simpl

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