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SUMMARY:[Talk] Demistifying Open Source Contribution\; My experience as a 
 Pandas contributor - Kevin Christian Amparado
DTSTART;TZID=Asia/Manila:20250301T143000
DTEND;TZID=Asia/Manila:20250301T150000
DTSTAMP:20260818T181905Z
UID:pretalx-pycon-apac-2025-C3BZXW@pretalx.com
DESCRIPTION:Most beginners think that contributing to Open Source is hard 
 and time-consuming\, but it's actually quite the opposite. It kind of look
 s complicated but is actually simple and straight forward once you do it. 
 \n\nIn this talk\, I’ll share my personal journey contributing to open-s
 ource projects like Pandas\, providing practical insights into how to get 
 started\, how open-source collaboration works\, and the tangible benefits 
 and challenges involved. Through real examples of issues and pull requests
  I’ve worked on\, as well as stories of both successes and struggles\, I
 ’ll offer an honest look at the open-source contribution process and wha
 t it takes to make a meaningful impact.\n\nI'll showcase one PR I submitte
 d where it looks complicated at first glance. The implementation was simpl
 e\, yet the performance yielded 10x results. I improved `df.to_csv`'s perf
 ormance when `Index=False` by 90%. Just by a simple change: I just used an
  `np.empty` as the dataframe's index when `Index=False` since originally\,
  it still builds the index and drops it at the last time.\n\nOne of the be
 st benefits of Open source contribution is being able to navigate\, unders
 tand and trace large multi-file projects\, get hands-on experience on code
  reviews and PRs\, learn how to properly understand documentation and impr
 ove your git/github knowledge.
LOCATION:Main Hall (LH 111)
URL:https://pretalx.com/pycon-apac-2025/talk/C3BZXW/
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