XYplorer 17.90.0000 Multilingual + Portable

XYplorer 17.90.0000 Multilingual + Portable | 8.4 MB


XYplorer is an Advanced File System Explorer targeting everybody who is looking for a real alternative to the Windows Explorer. It has the following features: Created Date, Last Accessed Date and Attributes are shown right in the file list. Extended file find supporting NT-only features, and including binary string search. Multiple location search (find files in all selected directories). Generates various sorts of file system reports (to clipboard, file, and printer - we are talking about one-click directory print-outs here). Export extended file informations of whole directories (or even directory trees) to CSV-formatted files. [Column Width Auto-Adjustment.
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PSPad 5.0.0 Build 171 Beta Multilingual Portable

PSPad 5.0.0 Build 171 Beta Multilingual Portable | 8.4 MB


PSPad is a well-known editor among Microsoft Windows users. PSPad is one of the best choice when it comes down to number of features and the variety of of syntax highlighting profiles. Since the number of features is overwhelming, those are just a couple of them: full HEX editor, support for Unicode, ANSI, ISO, OEM, auto correction, spell checking, undo-redo operations and unlimited length. Save desktop session (resume your work) and work on several documents at the same time.
Numerical and Scientific Computing with SciPy
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 38M | 751 MB
Genre: eLearning | Language: English


The SciPy Stack is a collection of Open-Source Python libraries finding their application in many areas of technical and scientific computing. It builds on the capabilities of the NumPy array object for faster computations, and contains modules and libraries for linear algebra, signal and image processing, visualization, and much more. Accordingly, gaining a solid working knowledge on some of the basic functionality of the SciPy Stack to solve mathematical models numerically is clearly the first step before one can start using it to tackle large-scale computational projects either in the industry or in the academic world.