BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CFP.DEV//CFP.DEV shortcodes//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Voxxed Days Ticino 2026
X-WR-RELCALID:c426493a-54d4-472b-b975-6f3aaa7163fa
X-WR-TIMEZONE:Europe/Zurich
BEGIN:VEVENT
UID:cfp-1151-8689@cfp.dev
DTSTAMP:20260920T122418Z
SEQUENCE:0
STATUS:CONFIRMED
DTSTART:20260205T080000Z
DTEND:20260205T110000Z
SUMMARY:No Pandas Were Harmed: Elegant and Efficient Data Analytics with Po
 lars
DESCRIPTION:Data analytics doesn&#39\;t have to be slow or cumbersome. With
  Polars\, a next-generation DataFrame library built for performance and si
 mplicity\, you can process massive datasets faster than ever. In this hand
 s-on workshop\, you will discover how to leverage Polars to support your d
 ata workflows from the fundamentals to the more advanced analytics scenari
 os.In the first part of the workshop\, we will introduce Polars as the mod
 ern library for data analytics in Python\, covering its data model\, engin
 e design\, and how it compares to other analytics tools like Pandas\, whic
 h is effective for smaller datasets\, and Apache Spark\, which is horizont
 ally scalable but inefficient for smaller datasets because of the overhead
  of the distributed infrastructure. The second part will dive into a real-
 world dataset of NYC taxi trips\, containing hundreds of millions of rows.
  We will walk through efficient data ingestion and cleaning\, and then exp
 lore how to perform lightning-fast queries and groupings directly in a not
 ebook environment. You will also learn how to visualize your findings with
  simple yet powerful plotting techniques.Finally\, we will tackle more com
 plex and realistic analytics scenarios\, such as identifying the top-earni
 ng drivers over a specific time window\, and visualizing their most profit
 able trips and neighborhoods. Through these scenarios\, we will showcase h
 ow Polars empowers you to move seamlessly from raw data to meaningful insi
 ghts.\nSpeakers: Andrea Mocci\, Jesper Findahl\, Marco D'Ambros\nTrack: Da
 ta
URL:https://vdt26.voxxeddays.ch/talk/no-pandas-were-harmed-elegant-and-effi
 cient-data-analytics-with-polars/
LOCATION:ws2\nPalazzo dei Congressi\nLugano\, Switzerland
CATEGORIES:Data 
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