Python is a programming language, that can perform statistical analysis. It can be compared to R. Python is the chosen option for Data Science (Machine Learning and Deep Learning), while R is preferred among statisticians.
However, the programs become more and more interchangeable. They can be linked to each other and outside programs. For Data Science, python and R can both be connected to Tensorflow and Keras. I have not seen Item Response Models for python, but that could be blind spot with me. I have seen several R books on IRT, but none so far for python. Both also have good IDE's. For R that would be R-studio (together with R Markdown) and for python it could for example be Jupiyter Notebooks.
What you might want to use, depends on your field. For overviews of articles or books, go to CRAN (for R) to Python, But you could search the net. But be explicit in your search, use words common to your field of research. If you give me more information, I could provide a better advice on books to read.
Respected Sir. Peter Moorer. Hope you might be fine. Thanks knowledge you shared is very much informative, supportive and fruitful. Thanks alot for for your response.
According to Wikipedia, Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace.
It is a powerful tool in the sphere of Data Science, Machine Learning and other related areas.
Personally, one big advantage of Python is its ease syntax.
Python is a programming language, not a tool but thanks to its vast collections of packages for which we can perform various tasks like training a machine learning model, drug discovery, and also statistical analysis.
For example, If Pandas, NumPy, and Matplotlib are used together we can perform statistical analysis at a good level.
My favorite Python resource for beginners is probably "Automate the Boring Stuff" by Al Sweigart. It is available for free online (or a physical copy is very affordable) at https://automatetheboringstuff.com/.