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TZID:Asia/Manila
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SUMMARY:Python for Good: Revealing the Philippines Through Data - Michel O
 nasis S. Ogbinar
DTSTART;TZID=Asia/Manila:20260322T131500
DTEND;TZID=Asia/Manila:20260322T151500
DTSTAMP:20261009T015308Z
UID:pretalx-python-asia-2026-DVUQLM@pretalx.com
DESCRIPTION:The Philippines continues to work toward the Sustainable Devel
 opment Goals (SDGs)\, but its progress becomes clearer—and more actionab
 le—when viewed alongside other countries facing similar social\, economi
 c\, and environmental challenges. Many SDG issues in the Philippines mirro
 r broader regional struggles\, yet the lack of accessible\, comparable dat
 a makes it difficult for citizens and decision-makers to understand where 
 the country is ahead\, where it is falling behind\, and what lessons can b
 e learned from peers.\n\nThis 2-hour\, hands-on workshop uses Python to co
 mpare the Philippines’ SDG performance with that of other nations in Sou
 theast Asia and beyond. Participants will use open global datasets to clea
 n\, explore\, and visualize cross-country indicators—revealing patterns
 \, inequalities\, and standout practices. By grounding the analysis in int
 ernational comparison\, the workshop helps participants understand not onl
 y how the Philippines is doing\, but why some countries progress faster an
 d what strategies may be adapted.\n\nThis workshop is not about politics 
 — it’s about essential skills for meaningful development analysis:\n
 ✔ Data literacy for interpreting global SDG indicators\n✔ Critical thi
 nking through country-to-country benchmarking\n✔ Responsible analytics t
 hat avoid misleading comparisons\n✔ Transparency through reproducible an
 d open Python workflows\n\nBy the end of the session\, participants will h
 ave built a concise\, reusable “SDG Comparison Notebook” that compares
  Philippine performance to regional and global peers. The goal is to demon
 strate how Python can illuminate where the Philippines stands in the world
 —and how data can guide smarter\, more accountable pathways toward achie
 ving the SDGs.
LOCATION:Yuchengco Hall 5th Flr. Y509 (Workshop Room 3)
URL:https://pretalx.com/python-asia-2026/talk/DVUQLM/
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