SW Development: Visual Studio vs. Rider (IDE, TOOLS)

An article by the great and not late Mr. Peres (which you might have heard about before):
https://stackify.com/visual-studio-rider/

Citando:
"In the beginning there was Visual Studio. For many years, it was essentially the only tool that offered a comprehensive IDE with useful functionality that could be used for enterprise-level .NET development. Other tools existed, of course, but they were generally no match for Visual Studio.

In recent years, this landscape has somewhat changed: we now have Visual Studio Code, MonoDevelop, SharpDevelop and, more recently, JetBrains Rider. Not all of these are free or open source, and, in general, this shows up in the quality of the tool or the features it offers. This is not to say that open source does not offer high quality stuff – I have been an advocate of NHibernate for years – but only that companies that can spend money in having full time developers working on something usually benefit from that."

Licensing: Comparison of FOSS licenses

Licensing is an important part to analyse before reusing (integrating a product into your product/solution/information system). Remember that nobody will "bother" you (in principle) up until you have what everyone wants: success (measured in millions is USD).

https://en.m.wikipedia.org/wiki/Comparison_of_free_and_open-source_software_licenses

Quality Control: Statistical packages (Comparison)

One excellent sum-up of the most widely used statistical packages (think SPSS, Minitab, JMP):

Comparison of statistical packages - Wikipedia

You could be asking what does statistics (and stats software packages) have to do with software development? Well, a lot, mainly if you're interested in improving (and predicting) the things you do.
Knowing the "numbers" from the past (Process Performance Baselines, PPB) and predicting the future with models built using these baselines (Process Performance Models - PPM) are very powerful tools to management (estimation, detecting deviations from normal process behaviour, etc.).

"Quality Control" areas also have a great deal of statistics (needed to compute Descriptive Statistics as well as creating and maintaining those PPB and PPMs).

So, in fact statistics basics given in High School really do apply to some Software Engineers and Software Quality Assurance (or Software Product Assurance) Engineers.