About Laura Langdon
Laura Langdon is a Developer Advocate at Suborbital Software Systems, where she manages documentation and participates in outreach activities, especially around the intersections data science, Python, and extensibility. Previously a math lecturer at CSU East Bay, Laura is devoted to issues in pedagogy, neurodivergence, and social responsibility in tech. In her free time, she enjoys recreational research, optimising all the things, and not trying to think of a third thing with which to end this sentence.
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[00:00:53] Laura opting out of high school and going through community college instead.
[00:04:33] Why college was a better fit for Laura.
[00:07:04] The path of human experience.
[00:11:48] Coming to settle her explorations with mathematics.
[00:14:00] Laura's epiphany with mathematics.
[00:17:35] Practical considerations when it comes to choosing your path.
[00:22:59] The beauty of pure mathematics that we miss out on at school.
[00:23:31] Sometimes material is hard. But sometimes it's hard because people have different modes of learning.
[00:25:25] Resources can be crutches. What do you want to get out of this?
[00:26:31] Speak to course advisors and coordinators. There may be options you weren't aware of.
[00:29:25] Why homeschooling.
[00:32:20] The Montessori m ethod
[00:36:12] AI, Reinforcement Learning, and DeepMind.
[00:38:20] Finding her way to technical writing.
[00:43:48] Ethics, algorithms, and society.
[00:47:39] A day in the life of developer relations.
[00:49:01] Bringing all those accumulated skills together.
[00:51:15] What advice would you give someone who wants to do what you do? And what advice should they ignore?
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