#dataframe

Modern #data teams often juggle multiple #DataFrame libraries. #Narwhals lets your functions run natively across pandas, Polars, DuckDB, and PySpark—without rewriting code or adding heavy dependencies. 📕 View the full article:

📣Deal of the Day📣 May 8 SAVE 45% on Pandas Workout & selected titles: #dataframe #DataAnalytics #numpy #python Now in print! Python guru @reuvenmlerner is your trainer and guide through over 200 exercises guaranteed to boost your #pandas #skills.

pandas. Modin. Polars. RAPIDS cuDF. Ibis. Vaex. Dask. PySpark. Daft. Snowpark dfs. BigQuery dfs. Why are there so many #Python #dataframe libraries? Open-source dataframe contributor + Ponder Founding Engineer @maheshvash shares 3 conclusions:

Performance in @ApacheSpark queries isn't impacted by the choice between #DataFrame API and spark.sql, as the physical plan is identical. Thus, the choice between these two depends on familiarity with #SQL syntax, team preferences, and the complexity of transformations

Do you use Kotlin DataFrame or have you used it in the past? The team is looking for feedback and suggestions #kotlin #dataframe

Hey, #DataScience there! I want to improve communication between #Pandas #dataframe and #PostgreSQL, making it faster and easier to use! What is the typical use case? What data types are dataframes usually stored as, in PostgreSQL? Thank you!

Daft Documentation got a fresh GLOW UP in 2025 🔥 #Daft #Distributed #DataFrame

Daft-SQL is our new SQL API that enables experts to interact with their data and leverage the language in a familiar way, whether you’re analyzing large datasets or performing simple queries. Sneak peak at our docs & stay tuned! #Daft #DataFrame #SQL

New year means new release. You can now ingest Pandas DataFrames at 1.1M rows/s in QuestDB! This is 290x faster than it used to be 🤯 Check out our benchmarks: #machinelearning #pandas #dataframe #opensource #database #questdb

Looking forward to doing this talk together with @TheDonRaab! 😃 #Java #EclipseCollections #DataFrame

what's a DataFrame? Find out in: Dataframes, Collections, and Streams in Java with @rmehmandarov at @devnexus April 4-6 Atlanta

Convert #Pandas #DataFrame into #API @BeneathHQ! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode

This cheat sheet covers data wrangling in #Python with #Pandas: more advanced indexing techniques, iterating over a #DataFrame, handling duplicate or missing #data,... It's all in here! -

Over 60% of #data scientist’s time is spent preprocessing and cleaning data. In this Code Together podcast, OmniSci’s @alexbaden and Devin Petersohn of @IntelAI discuss our collaboration and how our integrated solutions improve #dataframe scaling. #AI

No Mess in R Data Frames! How to clean the column names of a data frame in the R programming language. #rstats #dataframe #datacleaning #programming

You can create a Delta table by writing out a #DataFrame with the Delta format, you can create an empty Delta table with #sql, or you can convert an existing #Parquet table to the Delta format. It's very easy to jump in and start using #DeltaLake! 🦀 cc: Matthew Powers

One of the many reasons we 💜 our Daft community is because of those who try out Daft (and realize how awesome and easy it is use 😎). #daft #distributed #dataframe #data #dataengineering #snowflake #iceberg

#SQL should be your default choice for data engineering pipelines BY @RobinLinacre | This is a line of thought I've come around to recently as well even though I've been a great lover of #dataframe libraries like #Pandas 1/5

We are proud that #DataFrame library #Polars successfully secured seed funding of US$4 million led by Bain Capital Ventures 👏🏼🚀Congratulation to Polar's co-founders and ex-Xomnians @RitchieVink & Chiel Peters on adding this achievement to Polar's record of success! @DataPolars

Methods to make you have a clear overview when dealing with #dataframe and #geodataframe in #pandas and #geopandas respectively. Hope you get along nice and smooth. #data #DataAnalytics #DataScience #GIS #GISKE2023 #gischat

We're happy to announce that #Polars, the Lightning-fast #DataFrame library for #Rust and #Python created by Xomnia's Machine Learning Engineer Ritchie Vink, now has a website: Check it out to hop on board the Polars experience easily and quickly!