#DataFrames

@laexperimental.bsky.social

2 days ago

La Experimental #25 Conversor archivos, clima en la terminal, formación web, orquestador agentes IA, guía FastAPI, profiling datos, gestión de puertos, framework de agentes IA, IA selfhosted y mapa de trenes.

Ya esta disponible La Experimental #25:

🛠️ Conversor de archivos
💻 Clima ASCII terminal
📚 Curso #Next.js
🧑🏻‍💻 Flujos #IA visuales
🐍 Errores en #FastAPI
💾 Profiling de #DataFrames
🤖 Orquestador #agentes IA
🐧 Port Kill #Linux
🌩️ #AI en local
💡 Mapa #trenes #Europa

open.substack.com/pub/laexperi...

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InfoQ

@infoq.com

1 month ago

Are You Missing a Data Frame? The Power of Data Frames in Java Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By analyzing The One Billion Row Challenge, he shares how Java frameworks can outpe...

Discover how #DataFrames are transforming #DataOrientedProgramming in #Java!

Analyze the #1BRC challenge & see how Java frameworks can outperform Python in memory management without sacrificing readability.

Discover how DataFrames elevate your Java programming experience ⇨ bit.ly/4avEDzZ

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La Experimental Newslatter

@laexperimental.bsky.social

1 month ago

La Experimental #19 Release de Pandas, cli tool de búsqueda en ficheros, guía de Git por email, librerías de python y validación de datos, app diseño UX con IA, servicio selfhosted, comparativa salarial tech España.

Ya esta disponible La Experimental #19

🚀 Release #Pandas
💻 Buscador #Markdown #CLI local
🐍 Programar tareas en #Django
💾 Validación de #DataFrames
🤖 Diseño #UX con #AI
🌩️ Servicio ubicación #SelfHosted
💼 Análisis salarial #Tech España
💡 Web aniversario #Wikipedia

open.substack.com/pub/laexperi...

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Quansight

@quansight.com

3 months ago

🔴 WE'RE LIVE NOW!

Narwhals development session with Marco Gorelli is underway!

From compatibility layers to real-world dataframe problems - it's all happening right now. Jump in and join the chat!

🔗 buff.ly/ZjqZdXw

#LiveNow #DataFrames #Python

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Pablo Álvarez Corredera

@cibered.com

5 months ago

Introducción a los DataFrames de Pandas en Python - Lenguajes Programación, Programación - CIBERNINJAS Aprende a usar pandas DataFrames en Python: crea, importa, filtra, resume y visualiza datos de forma práctica. Domina las funciones esenciales para análisis, limpieza y transformación con ejemplos cla...

🐼 Introducción a los DataFrames de Pandas en Python
ciberninjas.com/introduccion...

#Python #Pandas #DataFrames #DataScience #Programación #AnálisisDeDatos #TutorialPython

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Ryan Morton

@mortonanalytics.bsky.social

6 months ago

I don't know who needs to hear this, but data frames are NOT native Python objects. You need special libraries to use them, and downstream software does not natively support data frame inputs.

#theMoreYouKnow #tedTalk #dataVisualization #python #rstats #dataTypes #dataFrames

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Quansight

@quansight.com

6 months ago

Narwhals development livestream Narwhals is a lightweight compatibility layer between dataframe libraries (pandas, Polars, Modin, cuDF, PyArrow, and more coming soon!) - join us as we develop it -- chat, ask questions, or just…

🚀 LIVE NOW!

Another Narwhals development session with Marco Gorelli is underway!

From pandas to Polars to PyArrow - see how one API can rule them all. Join the chat and be part of the conversation!

🔗 buff.ly/9ARUopO

#LiveNow #DataFrames #Python

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@qdrddr.bsky.social

7 months ago

LanceDB + Polars A (near) perfect match A spiritual successor to pandas, Polars is a new blazing fast DataFrame library for Python written in Rust. At LanceDB, we hear from many of our users that they process data us...

📊 #VectorDB #LanceDB v0.4.5 works with @pola.rs DataFrames & LazyFrames for faster vector data handling. Vectorize your CSV fast!
👉 Discuss in Discord: linktr.ee/qdrddr
#AI #LLM #DataFrames

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FunctionalProgramming

@functionalprogramming.activitypub.awakari.com.ap.brid.gy

7 months ago

Snowflake Now Runs Apache Spark Directly Snowflake today announced the public preview of Snowpark Connect for Apache Spark, a new offering that allows customers to run their existing Apache Spark c...

#News #in #Brief #Data #Analytics #data #science […]

[Original post on bigdatawire.com]

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Xavier Mareca

@xavierdatatech.bsky.social

8 months ago

🚀 Working with #PySpark in the cloud — juggling multiple #DataFrames in parallel.

🔍 Combining filter(), select(), and join() efficiently is teaching me how to optimize both loading and exploration on large datasets.

#BigData #Databricks #DataEngineering #ApacheSpark

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@iammathematica.bsky.social

10 months ago

How to create a food nutrient data frame using Pandas YouTube video by tondekush

youtu.be/HB5AkSlJq14
#data #frames #dataFrames #food #python #pandas #nutrients

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Doug Drechsel

@databasedoug.bsky.social

1 year ago

python-oracledb 3.0 Fetches Directly to Data Frames Python-oracledb 3.0 is a big release, well worthy of a major version jump. It has a focus on connection management, but two other marquee…

Exciting news for #Oracle #Python devs! python-oracledb 3.0 is here with support for #DataFrames (Pandas, NumPy, PyTorch), #AQ in thin mode and #sparse vectors. Plus, #pipelining is now production-ready! Perfect for #AI and #ML apps!

cjones-oracle.medium.com/python-oracl...