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UID:pretalx-europython-2024-CL3NZ9-0@programme.europython.eu
DTSTART;TZID=CET:20240709T134500
DTEND;TZID=CET:20240709T151500
DESCRIPTION:When you take interesting data from public sources\, when you i
 nstall a highly efficient Python library for data analysis (polars)\, and 
 you start asking fundamental questions\, what can possibly go wrong?\n\nIn
  this course\, we will grab public data about the countries of the world a
 nd while playing with them\, we will explore (a small subset of) what the 
 polars library has to offer. While traditionally the first steps into data
  analysis are taken with pandas (a true hero in the Python data world)\, p
 olars is a fresh newcomer that boasts high efficiency and clearly designed
  API - so why not start with it?\n\nYou will learn how to:\n\n- load\, man
 ipulate and clean your data\;\n- gather insights using grouping\, aggregat
 ion and joining data from various sources\;\n- understand and present you 
 data visually.\n\nYou should possess:\n\n- a modest knowledge of Python (f
 unctions\, basic containers)\n- some familiarity with Jupyter (or some oth
 er) notebooks (recommended)\n- optionally some knowledge of pandas (not re
 quired at all)\n- a computer with a pre-installed virtual environment\n\nI
 f possible\, come with your laptop prepared - you will find all the instal
 lation instructions and notebooks we will be using in the tutorial here: h
 ttps://github.com/janpipek/eda-polars-way
DTSTAMP:20260517T234749Z
LOCATION:Club A
SUMMARY:Data Analysis\, the Polars Way - Jan Pipek
URL:https://programme.europython.eu/europython-2024/talk/CL3NZ9/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-europython-2024-CL3NZ9-1@programme.europython.eu
DTSTART;TZID=CET:20240709T153000
DTEND;TZID=CET:20240709T170000
DESCRIPTION:When you take interesting data from public sources\, when you i
 nstall a highly efficient Python library for data analysis (polars)\, and 
 you start asking fundamental questions\, what can possibly go wrong?\n\nIn
  this course\, we will grab public data about the countries of the world a
 nd while playing with them\, we will explore (a small subset of) what the 
 polars library has to offer. While traditionally the first steps into data
  analysis are taken with pandas (a true hero in the Python data world)\, p
 olars is a fresh newcomer that boasts high efficiency and clearly designed
  API - so why not start with it?\n\nYou will learn how to:\n\n- load\, man
 ipulate and clean your data\;\n- gather insights using grouping\, aggregat
 ion and joining data from various sources\;\n- understand and present you 
 data visually.\n\nYou should possess:\n\n- a modest knowledge of Python (f
 unctions\, basic containers)\n- some familiarity with Jupyter (or some oth
 er) notebooks (recommended)\n- optionally some knowledge of pandas (not re
 quired at all)\n- a computer with a pre-installed virtual environment\n\nI
 f possible\, come with your laptop prepared - you will find all the instal
 lation instructions and notebooks we will be using in the tutorial here: h
 ttps://github.com/janpipek/eda-polars-way
DTSTAMP:20260517T234749Z
LOCATION:Club A
SUMMARY:Data Analysis\, the Polars Way - Jan Pipek
URL:https://programme.europython.eu/europython-2024/talk/CL3NZ9/
END:VEVENT
END:VCALENDAR