Jul 12, 2018 · One simple reason why you may see a lot more questions around Pandas data manipulation as opposed to SQL is that to use SQL, by definition, means using a database, and a lot …

So is SQL inherently more efficient than R in terms of the way the data is stored, or is it just that SQL servers tend to have more built-in memory and processing power?

Jun 12, 2014 · One observation is that Python is more used by machine learning people working with big datasets while R is more used by traditional "statisticians", e.g. those working with psychology …

Jul 3, 2017 · What are the features of pandas that make it a superior datastore compared to regular relational databases like MySQL, which are used to store data in many other fields of programming? …

Feb 10, 2020 · I built a scraper in python that creates a tuple of (key, value). I would like to pass both key and value as parameterized variables in an SQL query that updates a table in my sqlite database.

Apr 14, 2020 · What are the advantages of HDF compared to alternative formats? What are the main data science tasks where HDF is really suitable and useful?

Aug 11, 2019 · Python vs. SQL: best practices for feature engineering I have an SQL database, and there are two ways I can connect to it: Using Azure Data Studio and running SQL commands there …

My question is: what are ways I can store strings in a CSV that contain newline characters (i.e. \\n), where each data point is in one line? Sample data This is a sample of the data I have: data ...

In my opinion, nothing comes close to RStudio for data science, statistics and EDA. R programming might be a different story. I have tried Spyder, Jupyter and VS Code and they have not been able to …

Jun 10, 2018 · To get the unique elements you can convert the tuples to a set with a couple of comprehensions like: [tuple({t for y in x for t in y}) for x in data] Inside of a list ...