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 …

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?

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.

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 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 …

Jun 29, 2020 · 26 I originally came from R, but Python seems to be the more common language these days. Ideally, I would do all my coding in Python as the syntax is easier and I've had more real life …

What are the best practices to save, store, and share machine learning models? In Python, we generally store the binary representation of the model, using pickle or joblib. Models, in my case, can...

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Dec 27, 2017 · I want to use R or Python to query big structured SQL-type data, but they are very slow compared to SAS. I tried using R and Python to return a 1.3 million record Oracle ODBC …

My input is "20220212" and I should get output like "2022-02-12T00:00:00+00:00" I have written the following code in PySpark: from pyspark.sql import …