In brief

This site is about comparison of systems for technological computations, like, Python, R, and Wolfram Language. Many of the posts are studies embarked on in order to confirm or reject my assumptions / impressions about Python.

Beware that I am not enamored by Python. I do not dislike Python, but I dislike many of the attitudes and opinions about its place and usefulness. I do prefer to keep (relatively) objective opinions about research and software developments tools. Hence, I voice opinions that paint Python in negative light.

Of course, in order to be objective, we have to compare same or similar functionalities implemented in the different programming languages (tools) and apply those functionalities to the same problems. This blog is going to show such applications using Python. Related comparisons of mine can be found in:

• Mathematica vs R at GitHub project
• “Simplified Machine Learning Workflows” book project at GitHub

Previously stated opinions about Python

In different sites and meetups I stated and proclaimed my opinions about Python. Some are listed below.

• “Python for Kaggle — meh…”, (2019)
  • Answer to “What are the Wolfram Language’s relative strengths for machine learning?”.
• “Python is not great or even that good for mathematical computations…”, (2016)
  • Answer to “Mathematica vs. Python – how does Mathematica compare to Python’s scientific computing suite?”.

(I plan to discuss my Python background in the next post…)