Noufal Salimblog.noufals.in·Jun 9, 2024Unlocking the Potential: Evaluating the Best Data Processing Frameworks for Your Needs - A Comparative Study of Pandas, Dask, and PolarsAbstract As the field of data processing and analysis continues to advance, it is becoming increasingly crucial to select the appropriate tools for the task at hand. The purpose of this white paper is to present an extensive comparison of three well-...DiscussPolars
ayoub arahmatayoubar.hashnode.dev·Jan 7, 2024How do I convert a Django QuerySet into a Polars Dataframe?The Problem: In my software engineering journey, I faced a problem while working on a Django project when I had to grab a bunch of data from a PostgreSQL server and mess around with it to do some data analysis. The usual way to do this is by running ...Discuss·94 readsDjango
Sreekesh Iyerblog.sreekeshiyer.com·Nov 12, 2023Getting started with Polars - A Pandas Alternative?The first thing that you tend to learn when you start with Data Science in Python is the pandas module, which covers literally any kind of data manipulation, transformation and processing for tabular datasets. As a module, it has developed itself ins...Discuss·11 likes·43 readsPolars
Ben Hammondblog.benhammond.tech·Sep 14, 2023Shaving hours off a Pandas scriptCrunching a few hundred million lines of data At the Health Equity Tracker, the largest dataset we work with is a case-level set provided by the CDC with every COVID-19 infection in the United States, along with additional information including race,...Discuss·100 readsDataVisualization
DataChefforDataChef's Blogblog.datachef.co·Aug 15, 2023Choosing the Best Data Manipulation Package in Python: A Comprehensive ComparisonIntroduction Pandas is one of the most widely used data manipulation libraries in Python, known for its ease of use and powerful functionality. However, as the data size grows, Pandas can become slow and memory-intensive. In this blog post, we will c...Discuss·160 readsKoalas
