Thomas Bierhance: Polars - make the switch to lightning-fast dataframes

PyData

Thomas Bierhance: Polars - make the switch to lightning-fast dataframes

2 years ago - 29:49

Juan Luis Cano Rodríguez - Expressive & fast dataframes in Python with polars | PyData Global 2022

PyData

Juan Luis Cano Rodríguez - Expressive & fast dataframes in Python with polars | PyData Global 2022

2 years ago - 27:48

How to Find Column Positions in Polars | Python Tutorial

TechnicallyRipped

How to Find Column Positions in Polars | Python Tutorial

2 months ago - 0:28

Polars: The Future of Fast DataFrames #Shorts

The Fun Data Labs

Polars: The Future of Fast DataFrames #Shorts

6 months ago - 0:50

Generative AI: PEFT and RLHF workflows + Polars for blazing-fast dataframes in Ray and beyond

AI Performance Engineering

Generative AI: PEFT and RLHF workflows + Polars for blazing-fast dataframes in Ray and beyond

2 years ago - 1:18:37

Polars: Blazingly Fast DataFrames in Rust and Python

Databricks

Polars: Blazingly Fast DataFrames in Rust and Python

2 years ago - 37:04

Master Polars for Lightning-Fast Data Frames with GPU Acceleration

Bring Your Ideas to Life

Master Polars for Lightning-Fast Data Frames with GPU Acceleration

6 months ago - 4:08

Juan Luis- Expressive and fast dataframes in Python with polars | PyData NYC 2022

PyData

Juan Luis- Expressive and fast dataframes in Python with polars | PyData NYC 2022

2 years ago - 38:15

Day 1 - What's the SECRET to Polars' LIGHTNING FAST DataFrames?

The Fun Data Labs

Day 1 - What's the SECRET to Polars' LIGHTNING FAST DataFrames?

6 months ago - 3:29

The BEST library for building Data Pipelines...

Rob Mulla

The BEST library for building Data Pipelines...

2 years ago - 11:32

Marysia Winkels - Data Storytelling through Visualization | PyData Global 2022

PyData

Marysia Winkels - Data Storytelling through Visualization | PyData Global 2022

2 years ago - 29:52

Top Python Libraries for Data Manipulation: Polars, Modin, Pandas, Vaex & More 🚀

1 On Code

Top Python Libraries for Data Manipulation: Polars, Modin, Pandas, Vaex & More 🚀

7 months ago - 1:16

Vasileios Mourtakos - A data engineering framework in Python

PyData

Vasileios Mourtakos - A data engineering framework in Python

2 years ago - 35:55

【Mark to Market vs Mark to Model Methods】 #controller #accounting #investmentbanking #gaap

Helpful Controller

【Mark to Market vs Mark to Model Methods】 #controller #accounting #investmentbanking #gaap

1 year ago - 2:56

Time series dtypes in Polars

Rho-Signal Data Analytics

Time series dtypes in Polars

2 years ago - 4:20

Big Data is Dead | MotherDuck

Data Council

Big Data is Dead | MotherDuck

2 years ago - 25:58

Master Python Polars for Efficient Big Data Handling: 22-Minute Crash Course!

Data Science with Onur

Master Python Polars for Efficient Big Data Handling: 22-Minute Crash Course!

2 years ago - 22:39

Thomas Caswell - From Science to Open Source and Back Again | PyData NYC 2022

PyData

Thomas Caswell - From Science to Open Source and Back Again | PyData NYC 2022

2 years ago - 39:50

AWS Deep Racer - Reinforcement Learning intro by Aethan R

Zummit Infolabs

AWS Deep Racer - Reinforcement Learning intro by Aethan R

4 years ago - 2:37

Do these Pandas Alternatives actually work?

Rob Mulla

Do these Pandas Alternatives actually work?

2 years ago - 20:19

I created a Blazingly Fast API in Rust for Assassination Classroom

swanandx

I created a Blazingly Fast API in Rust for Assassination Classroom

2 years ago - 2:35

Python Frameworks & Libraries 2025 in 60 Seconds! 🚀 Supercharge AI, Web & Automation Skills!

It’s Your Responsibility

Python Frameworks & Libraries 2025 in 60 Seconds! 🚀 Supercharge AI, Web & Automation Skills!

3 weeks ago - 0:52

Peter Wang on why the "State of Data Science" survey revealed that Go and Rust aren't commonly used

Changelog

Peter Wang on why the "State of Data Science" survey revealed that Go and Rust aren't commonly used

3 years ago - 2:56

Large-scale data shuffle in Ray with Exoshuffle

Anyscale

Large-scale data shuffle in Ray with Exoshuffle

2 years ago - 25:47

Polars Tutorial: Blazingly Fast Exploratory Data Analysis in Python

Anton T. Ruberts

Polars Tutorial: Blazingly Fast Exploratory Data Analysis in Python

1 year ago - 33:02

PyData Triangle: September 2023 Meeting

PyData

PyData Triangle: September 2023 Meeting

1 year ago - 1:06:45

Tutorials - Matt Harrison: Getting Started with Polars

PyCon US

Tutorials - Matt Harrison: Getting Started with Polars

2 years ago - 2:14:28

Why should you switch from Pandas to Polars?

Rho-Signal Data Analytics

Why should you switch from Pandas to Polars?

2 years ago - 0:46

Ensuring Correct Distributed Writes to Delta Lake in Rust with Formal Verification

Databricks

Ensuring Correct Distributed Writes to Delta Lake in Rust with Formal Verification

2 years ago - 34:27

CSV: easy as 1-2-3 with ibis and duckdb

Phillip in the Cloud

CSV: easy as 1-2-3 with ibis and duckdb

Streamed 2 years ago - 12:16

Fastest table sort in the West - Redesigning DuckDB’s sort by Laurens Kuiper (CWI)

DSDSD - Dutch Seminar on Data Systems Design

Fastest table sort in the West - Redesigning DuckDB’s sort by Laurens Kuiper (CWI)

3 years ago - 21:06

Wes McKinney & Jon Keane - Apache Arrow in an Interconnected World

Lander Analytics

Wes McKinney & Jon Keane - Apache Arrow in an Interconnected World

3 years ago - 22:49

Pandas Workout: A new book to improve your fluency with Python Pandas

Python and Pandas with Reuven Lerner

Pandas Workout: A new book to improve your fluency with Python Pandas

3 years ago - 1:02

easy try rust as a python dev (intermediate) anthony explains #468

anthonywritescode

easy try rust as a python dev (intermediate) anthony explains #468

2 years ago - 3:31

How to spend ¾ of your yearly budget in 3 weeks: a PySpark cautionary tale - Nicole Carlson

PyData

How to spend ¾ of your yearly budget in 3 weeks: a PySpark cautionary tale - Nicole Carlson

6 years ago - 27:24

Goyal & Ramakrishnan - Enterprise-grade Full Stack ML Platform | PyData Seattle 2023

PyData

Goyal & Ramakrishnan - Enterprise-grade Full Stack ML Platform | PyData Seattle 2023

2 years ago - 35:45

HOW THE AVALANCHE CONSENSUS MECHANISM MAKES AVAX SO BLAZINGLY FAST

Cryptogene

HOW THE AVALANCHE CONSENSUS MECHANISM MAKES AVAX SO BLAZINGLY FAST

3 years ago - 9:35

Convert huge Polars dataframe to dict without consuming too much RAM

Mixible

Convert huge Polars dataframe to dict without consuming too much RAM

2 years ago - 0:58

Pypolars :  an alternative to Pandas???

Subham Sarkar

Pypolars : an alternative to Pandas???

4 years ago - 13:48

Hamilton: An Open Source Python Micro-Framework for Data Engineering // Applied AI Virtual Meetup

Applied AI

Hamilton: An Open Source Python Micro-Framework for Data Engineering // Applied AI Virtual Meetup

2 years ago - 57:02

Rudolf Eremyan - Building Data Pipelines on AWS | PyData Yerevan 2022

PyData

Rudolf Eremyan - Building Data Pipelines on AWS | PyData Yerevan 2022

2 years ago - 37:37

Joris Van den Bossche - On copies and views: updating pandas' internals | PyData Global 2022

PyData

Joris Van den Bossche - On copies and views: updating pandas' internals | PyData Global 2022

2 years ago - 27:28

Julia and DuckDB together to scan 45M rows and read them into a data frame which is then plotted

Ted Dunning

Julia and DuckDB together to scan 45M rows and read them into a data frame which is then plotted

3 years ago - 0:17

Last Week in a Byte (2022-12-20)

Delta Lake

Last Week in a Byte (2022-12-20)

2 years ago - 2:36

Fast and Flexible Analytics at Scale: Ibis Selectors

Phillip in the Cloud

Fast and Flexible Analytics at Scale: Ibis Selectors

Streamed 2 years ago - 25:56

Working with larger-than-memory datasets with Polars

Rho-Signal Data Analytics

Working with larger-than-memory datasets with Polars

2 years ago - 2:04

Creating Plotly Charts in Mito

Mito

Creating Plotly Charts in Mito

3 years ago - 2:23

Parallel processing with Dask Delayed

Rho-Signal Data Analytics

Parallel processing with Dask Delayed

3 years ago - 8:30

Design an Arrow Library to be `Async`

Voltron Data

Design an Arrow Library to be `Async`

3 years ago - 32:41

Trying DuckDB Database For The First Time P1 | Tech Discovery Series

Monkhaus

Trying DuckDB Database For The First Time P1 | Tech Discovery Series

1 year ago - 10:38

PyTorch BERT NLP Tutorial: Running PyTorch on the IPU

Graphcore

PyTorch BERT NLP Tutorial: Running PyTorch on the IPU

4 years ago - 12:52

Kolja Maier:  Specifying behavior with Protocols, Typeclasses or Traits. Who wears it better?

PyData

Kolja Maier: Specifying behavior with Protocols, Typeclasses or Traits. Who wears it better?

2 years ago - 29:27

Polars is much slower than DuckDB in conditional join + groupby/agg context

Sophia Wagner

Polars is much slower than DuckDB in conditional join + groupby/agg context

1 year ago - 3:23

DuckDB vs Pandas vs Polars For Python devs

MotherDuck

DuckDB vs Pandas vs Polars For Python devs

2 years ago - 12:05

Bristech Bytesize #17 - Ritchie Vink - Polars DataFrame library built on Apache Arrow

Bristech

Bristech Bytesize #17 - Ritchie Vink - Polars DataFrame library built on Apache Arrow

3 years ago - 1:17:55

Alejandro Herrera - Supercharging your pandas workflows with Modin | PyData Global 2022

PyData

Alejandro Herrera - Supercharging your pandas workflows with Modin | PyData Global 2022

2 years ago - 23:21

Comparing Brown, Polar, and Panda Bears | Never Stop Learning

Explore Live Nature Cams

Comparing Brown, Polar, and Panda Bears | Never Stop Learning

2 years ago - 3:12

The Mystery  of Multiplication Tables Java | Processing | IntelliJ

GTS MEG

The Mystery of Multiplication Tables Java | Processing | IntelliJ

5 years ago - 1:30

Rust Notebook on Github Codespace to do Data Science?

AI Scott

Rust Notebook on Github Codespace to do Data Science?

2 years ago - 33:19

Start-up with AWS Startups: Episode 10 | Generative AI Founders

Amazon Web Services

Start-up with AWS Startups: Episode 10 | Generative AI Founders

2 years ago - 2:34

Roy Kishony: Quibbler: Your Data - Interactive! | PyData Tel Aviv 2022

PyData

Roy Kishony: Quibbler: Your Data - Interactive! | PyData Tel Aviv 2022

2 years ago - 35:36

Most popular pandas alternatives 2015-2023

Xinyi2016

Most popular pandas alternatives 2015-2023

1 year ago - 2:42

Is Rust Blazingly Fast?

krscleancode

Is Rust Blazingly Fast?

3 years ago - 34:53