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The Python Dataframe Interchange Protocol is a quiet hero 🦸‍♀️. It makes it easy for libraries to accept many dataframes (Modin, Polars, Ibis, cuDF, Dask). Read our encomium: ponder.io/how-the-python… Thanks to Marco Gorelli & Ralf Gommers for your work! #python #dataframes

.Software Dev Tools saw a workload speedup of 4X with Modin Project (the scalable drop-in replacement for pandas) compared to pandas! Read more from Intel here: intel.com/content/www/us… #python #pandas #datascience

Ponder typically runs pandas code in your database by translating it to SQL. But pandas apply is different. For apply, we create a temporary Python user-defined table function (UDTF). Read more about apply + how Ponder handles it: ponder.io/pandas-apply-i… #Python #pandas #SQL

Pulling data from SnowflakeDB to work w/ scikit-learn, LightGBM, XGBoost? 💥Snowpark ML lets you stay in Snowflake but use important ML classes: LGBMClassifier, Lasso, PCA, XGBClassifier, etc. 💥Ponder lets you do your pandas preprocessing in Snowflake ponder.io/using-snowpark…

Congratulations to @MotherDuck 🦆 on your Series B 📈 We're excited to have Ponder be part of the Modern Duck Stack! motherduck.com/blog/motherduc… #pandas #Python #duckdb

Ever had hourly data, but wished it were monthly? Daily, but wished it were weekly? 😢 pandas resample will dry your tears. It makes upsampling + downsampling really slick, & now it's possible to run it directly in your database: ponder.io/how-to-use-pan… #pandas #database

We're happy to announce the release of #pandas 2.1.1. You can install it with `pip install pandas` or `mamba install -c conda-forge pandas`. You can find what's new in this version in the release notes. Thanks to all contributors and sponsors who made this release possible!

How the Python Dataframe Interchange Protocol Makes Life Better In this article, we answer three questions about the Python Dataframe Interchange Protocol: What it is + what problems it solves; how it works; and how extensively it's been adopted. ponder.io/how-the-python…

If you want to automatically parallelize your pandas code, you should check out open-source Modin: github.com/modin-project/… Modin Project uses the pandas API, so all you need to do is change "import pandas as pd" to "import modin.pandas as pd" #pandas #Python #opensource

How do you use database connections & cursors in Python? It can be hard to figure out because database concepts & Python objects don't map 1:1. To learn more (with an emphasis on the Snowflake-Python connector) check out: ponder.io/top-5-things-t… #python #database #snowflake

A 2-hour pandas workflow (150 million rows) can take 2 minutes with Ponder on Snowflake. Read more: ponder.io/ponder-in-publ… Or watch the demo here: youtube.com/watch?v=N7D2Wn… #pandas #SQL #Snowflake

If you're backed into a dark alley, facing a pack of ravenous NaN dogs, you'll want a sidekick like pandas dropna. Drop rows with n missing values using thresh=n. Drop entirely empty rows with how='all'. Learn more from Matt Harrison: ponder.io/professional-p… #pandas #Python

You can run NumPy 🔢 at scale in your database with Ponder 💥 Through Modin Project, Ponder supports: - Element-wise matrix ops (addition, subtraction, division, power) - Axis-collapsing or reducing ops (min, max, sum, product, mean) & more: ponder.io/numpy-on-snowf… #NumPy #SQL

Great coverage in the Real Python podcast of Mahesh Vashishtha's article: "Why Are There So Many Python Dataframes?" Here's the link to jump straight to that 7-minute portion: realpython.com/podcasts/rpp/1… Link to article: ponder.io/why-are-there-…

We’re excited to announce Snowflake's intent to acquire Ponder to bring Ponder's Python data science innovations to all its customers. Thank you to all of the Ponder and Modin supporters who brought us to this point -- We're excited for what's to come! ponder.io/snowflake-to-a…