Do we have a diversity problem in Python community
summary
Counts from a video-review of conference talks and a small survey find concrete gaps: most European conferences show 75%+ male speakers by gender inference from introductions, while PyCon numbers improve (around 40% women speakers in 2017). Survey (n=20) and submission data show fewer proposals from women and a leadership skew, pointing to a passive bias rather than pervasive toxicity. Suggested fixes that actually get used: diversity scholarships, childcare and accessibility, beginner workshops and mentorship, diversified topics to attract underrepresented groups.
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chapters (29)
- 0:00Intro
- 1:48About me
- 2:36Why women are flourishing in Python
- 3:15Why Python has a strong community
- 4:32Where the users come from
- 7:25Data leadership
- 9:21Active vs Passive Diversity
- 13:54Congress Diversity
- 15:04Gender Diversity
- 17:17Survey
- 25:30Diversity in theater
- 26:03Walking Roses
- 27:02National Theatre
- 28:37Accessibility measures
- 30:06Python
- 31:35Diversity in Science
- 33:14Diversity in Engineering
- 34:20Summary
- 37:47Survey results
- 38:32Questions
- 39:08Make an effort
- 39:47Balance the numbers
- 40:13Personal feelings
- 40:52What can we do
- 46:19Unconscious Bias
- 47:40Gender Diversity Bias
- 50:41Python Diversity
- 51:30Leadership of Python
- 53:09Class diversity
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