Like some of the other respondents, I was introduced to programming with BASIC and FORTRAN in the '70s. Turbo Pascal was fun to use and was my introduction to functional languages. Still, for most of my career Excel was adequate for data manipulation, analysis and presentation. A few years ago, I began generating 1000 point molecular dynamics data series and Excel fell short of my needs. Some Google research led me to matplotlib and python. I know that views differ, but I am a fan. There are many great libraries, especially for scientific applications. Anaconda bundles an ample collection (including native IDEs) and is trivial to install, even without admin rights on Windows. I find the VS support for python to be pretty decent. It will auto-indent spaces or tabs cleanly use spaces < /whisper> and highlight any inconsistencies. You can choose from several python and Anaconda environments to get satisfactory Intellisense. My only real complaint is the inconsistent performance of the Navigation bar in VS 2017 Community. Frequently, the drop-down will not be populated with the objects in a module, which is annoying. Since VS 15.6, it has been better, but the second-level drop-down (e.g. for functions in a class) is still always empty for me. There is a bit of frustrated discussion about this online and MS repeatedly claims it fixed, but... Python is not the the right hammer for every nail. Nonetheless, it is a great ancillary tool to have. I hope that it gives you a good second experience. George
In theory, theory agrees perfectly with practice. In practice, this is virtually never the case. "*the {VOiCE} says: The truth is analog - not digital." - jonathan HICKMAN