Marco Gorelli - How you (yes, you!) can write a Polars Plugin | PyData London 2024

(1:28:37)

Marco Gorelli - Understanding Polars Expressions when you're used to pandas | PyData Amsterdam 2024

(35:44)

How you can write a dataframe-agnostic library - Marco Gorelli

(34:28)

815: Polars: Faster DataFrame Ops — with Marco Gorelli

(1:24:33)

Let's Implement Bayesian Ordered Logistic Regression - Marco Edward Gorelli | PyData Global 2021

(27:16)

Marco Gorelli - Polars and time zones: everything you need to know

(30:10)

Marco Gorelli - DataFrame interoperatiblity - what's been achieved, and what comes next?

(21:44)

[20] Contributing to pandas (Marco Gorelli)

(32:57)

Marco Gorelli nbQA run any standard Python code quality tool on a Jupyter Notebook | JupyterCon 2

(15:21)

Day 1: Open Source Contributions | BootCamp

(1:17:3)

Contributing to Open Source for the first time

(18:25)

The Officials with Jorge Montepeque: Gong Xi Fa Cai!

(9:53)

#121 Exploring Bayesian Structural Equation Modeling, with Nathaniel Forde

(1:8:13)

You Should Be Using Polars for DataFrames

(15:11)

Effective Pandas I Matt Harrison I PyData Salt Lake City Meetup

(1:29:)

GRAY \u0026 GOEHLER | Good Morning Marco

(1:9:29)

#113 A Deep Dive into Bayesian Stats, with Alex Andorra, ft. the Super Data Science Podcast

(1:30:52)

The BEST GitHub Copilot ALTERNATIVE... (it's FREE forever)

(5:47)

Bayes theorem, the geometry of changing beliefs

(15:11)

Marco Gorelli - Polars Plugins: how you (yes, you!) can extend Polars Dataframes | PyData Paris 2024

(30:50)

[72] How You Can Contribute to pandas (Marco Gorelli)

(39:20)

Polars, pandas, and Narwhals, oh my! | Marco Gorelli | Data Science Hangout

(58:23)

Marco Gorelli - Polars and time zones: everything you need to know | PyData Global 2023

(28:44)

Polars and Time Series: what it can do, and how to overcome any limitation

(28:52)

[107] Polars \u0026 Narwhals: Translating from pandas (Marco Gorelli)

(36:8)

Important Design Decision Made By Polars

(56)

How Narwhals has many end users ... that never use it directly. - Marco Gorelli

(1:54)

How Polars Can Give You a 100x Improvement

(1:)

815 polars faster dataframe ops with marco gorelli

(6:58)