Primerpy provides a primer on python and related data science topics. It covers all the prerequisites for Deep Learning, Machine Learning, and Artificial Intelligence. It is designated for tech stacks and programming languages used in data science.
So what are those?
Python is a clear winner in data science. We cover not only the native Python features, such as loops, functions and objects, but also important libraries such as Numpy, Pandas, Matplotlib, Bokeh, scikit-learn, statsmodels and sqlalchemy etc.
Compared to Python, I found R a little bit more popular among academicians. Still, it’s a powerful and great language to learn, particularly some libraries are excellent, e.g. ggplot2, tidyr… Plus, with R Markdown, R is able to create some really nice reporting and websites.
Dah! Why are there so many SQL-like scripting languages to stream data from NoSQL? There’s a reason. Just learn it.