![]() ![]() ![]() When you are ready to convert, check out the live web converter which is great for processing snippets. The examples are descriptive and explain many user cases. Option 5 - OMPC ¶ OMPC (open-source matlab to python converter) ¶ Note this work was done on a Windows 7 machine with Anaconda 2.7 installed The really important library is scipy, which has nearly all the libraries one would need to perform basic scientific work. That is where we are now, how do I get all my old excel, matlab and vba projects into python? The first step is to install python. The realization that real programming languages exist and are used every day for data anaylsis that do not cost a dime and work very well, but may have a bit of a learning curve. Until, one day, when that recent graduate discovers that the road does not end with MATLAB, but is just the beginning. The crux of the programmers life so far will be when that MATLAB license expires and, not resorting to any illegal software copyright infringement, will be left out in the cold world of computing for data anaylsis and engineering. The student will spend hundreds of hours learning programming fundamentals with this great new tool, and create many programs with it. Once at a university, many students, especially engineering students, will discover MATLAB, and realized that VBA is very tedious compared to MATLAB syntax. This gives the user a bit more control over data creation and processing with loops. Some users may have had the curosity to investigate the macro tool and discovered programming by way of Visual Basic for Applications (VBA) in Excel. Excel works well for simple plotting, small datasets, and the software is ubiqutous but not free. In my opinion, the best method for theory is still handwritten, but when more advanced concepts are learned, more powerful tools make those concepts easier to understand.Īnectdotally, everyone seems to start with a spreadsheet application for data analysis and plotting, which, at least 3 or 4 years ago would have been a Microsoft product. I believe the forces guiding those changes are not coincidental, but out of necessity based on the ease of learning, functionality, extensibility, scalability and cost. ![]() There seems to be an natural progression that occurs for users of data anaylsis programs. ![]()
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