Feb 23, 2023 🚀 Product Announcement: Run NumPy and Pandas Directly on Your Data Warehouse
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Jul 26, 2022
This is the third in a series of blog posts that contrast Pandas dataframes with databases (or equivalently, SQL). In this post, we demonstrate how the Pandas dataframe data model provides additional flexibility that makes it a great fit for data science and machine learning, over the relational mod...
Jul 14, 2022
This is the second in a series of blog posts that contrast Pandas dataframes with databases (or equivalently, SQL). We compare Pandas vs. SQL on the first of three axes: conciseness. We discuss 10 operations that are much more straightforward in Pandas than in SQL, spanning data cleaning, machine le...
Jun 28, 2022
This is the first in a series of blog posts that contrast Pandas dataframes with databases (or equivalently, SQL). Both dataframes and databases are, in fact, old ideas, dating back multiple decades. Databases opt for scalability, robustness, and efficiency, while Pandas opts for versatility, flexib...
Apr 1, 2022
Ponder, the company behind Enterprise-Ready Pandas on Everything and the open source Python projects Modin and Lux, is pleased to announce their newest product line: Pandas on the Blockchain. With Pandas on the Blockchain, you can run your pandas workflows on the Blockchain. Ponder was founded on th...
Mar 9, 2022
We're excited to announce Ponder! Delivering Enterprise-ready Pandas to help data teams operate on data at scale with tools they know and love....
Mar 9, 2022
Scaling up pandas is hard. Learn about how we parallelize 600+ pandas functions with Modin, making it faster and easier to get insights!...
Mar 9, 2022
Visualizing your dataframe can be a pain! Learn how Lux makes it easy to visualize your pandas dataframes with the ease of a single print!...
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