Homepage
Open in app
Sign in
Get started
Productive Data Science
Focused stories on how to do data science at the peak of productivity.
About
What is Productive Data Science?
Making Python faster
How to do things
Follow
Tirthajyoti Sarkar
Sep 30, 2021
How to Interpolate Data with Scipy
One- or multi-dimensional data interpolation made easy with Python…
Read more…
65
Tirthajyoti Sarkar
Sep 28, 2021
Are you using Numpy to read text data files?
How to use the Numpy text reading utility methods for…
Read more…
53
Tirthajyoti Sarkar
Sep 28, 2021
Why you should use Parquet files with Pandas
Why you should use Parquet files with Pandas to make your…
Read more…
139
2 responses
Tirthajyoti Sarkar
Jul 31, 2021
Out-of-core (Larger than RAM) Machine Learning with Dask
Running an ML algorithm on a multi-GB dataset…
Read more…
86
Tirthajyoti Sarkar
Jul 30, 2021
Faster iteration in Pandas
Whenever possible, use the df.values method instead of the iterrows method…
Read more…
34
1 response
Tirthajyoti Sarkar
Jun 30, 2021
Why and how should you learn “Productive Data Science”?
What is Productive Data Science and what are…
Read more…
105
1 response
Tirthajyoti Sarkar
Jun 21, 2020
Speed up your Numpy and Pandas with NumExpr package
We show how to significantly speed up your…
Read more…
715
3 responses
Tirthajyoti Sarkar
Dec 21, 2017
Data science with Python: 8 ways to do linear regression and measure their speed
We discuss 8 ways to…
Read more…
1.6K
5 responses
Tirthajyoti Sarkar
Nov 19, 2017
Why you should forget ‘for-loop for data science code and embrace vectorization
Data science needs…
Read more…
2.3K
6 responses
About Productive Data Science
Latest Stories
Archive
About Medium
Terms
Privacy
Teams
