Aditya ParameswaranIt’s 2023, Let’s Stop Making BI Users Stare at Spinning WheelsTransactional Panorama to the Rescue!Aug 29, 2023Aug 29, 2023
Aditya ParameswaraninTowards Data SciencePandas vs. SQL — Part 4: Pandas Is More Convenienttl;dr: In this post, we compare Pandas vs. SQL on the third of three axes: convenience. We describe six ways in which the Pandas dataframe…Nov 24, 20222Nov 24, 20222
Aditya ParameswaraninTowards Data SciencePandas vs. SQL — Part 3: Pandas Is More Flexibletl;dr: In this post, we compare Pandas vs. SQL on the second of three axes: flexibility. We present eight ways in which the Pandas…Jul 26, 20221Jul 26, 20221
Aditya ParameswaraninTowards Data SciencePandas vs. SQL — Part 2: Pandas Is More ConciseCo-authored with Mahesh VashishthaJul 14, 20222Jul 14, 20222
Aditya ParameswaraninTowards Data SciencePandas vs. SQL — Part 1: The Food Court and the Michelin-Style Restauranttldr: This is the first in a series of blog posts that contrast Pandas vs. SQL (dataframes vs. databases). Both dataframes and databases…Jun 28, 2022Jun 28, 2022
Aditya ParameswaraninData PeopleEffortless Exploration with Zenvisage 0.2This blog post describes our new software release for Zenvisage. Blog post written by Doris Lee and Tarique Siddiqui, edited by Karrie…Nov 17, 2017Nov 17, 2017
Aditya ParameswaraninData PeopleEnabling Data Science for the MajorityHow human-in-the-loop data analytics is accelerating the discovery of insights.Oct 28, 2017Oct 28, 2017
Aditya ParameswaraninTowards Data ScienceCrowdsourcing in Practice: Our FindingsAnalysis of a Large Dataset from a Crowdsourcing MarketplaceSep 7, 2017Sep 7, 2017
Aditya ParameswaraninData PeoplePainless Data Versioning for Collaborative Data ScienceA Bolt-On Approach to Relational Data VersioningSep 5, 20171Sep 5, 20171
Aditya ParameswaraninTowards Data ScienceDraw Conclusions Early With IncVisageA New Paradigm for Incremental Generation of VisualizationsSep 1, 2017Sep 1, 2017
