Python in data science.
Data Analysts, Data Engineers and Data Scientists - What is the primary use of python in your role? Do you use Python primarily for Data munging and Tableau for visualizations? What are the packages or libraries you mostly use?
I use python or R for statistical modeling and analysis. I personally prefer R over python due to better visualizations unless I have to do text mining.
Tableau sucks for data science tbh. Only good for set-it and forget-it dashboarding. No version control, SQL lives hidden inside a proprietary file. Most features only available on desktop version of software, which limits usage massively. Python can be used end-to-end. Plotly (Cufflinks specifically) packages are some of the best visualization tools imo. Then of course pandas and scikit-learn, tensorflow, etc.
Python is often used within jupyter notebooks for exploratory / analytical / data science tasks. Plenty of python is also used in production systems as well (though most data scientists don’t generally touch those). When people tell you they love R you should try to find out how they deal with datasets too big to fit in their RAM. Those people generally don’t know how to work effectively on larger datasets.
It’s great when you want to build a huge complex app very fast and then have a lot of tech debt and pain
Python. From data analysis to production.
Depends a lot on the problem trying to solve