Often when we learn about or work with Math, it's done so in a very detached style. You might learn the rules and techniques for differentiation, for example. But how often do you get to apply them to meaningful and interesting problems? In this episode, we have Vince Knight and Geraint Palmer on to discuss solving a wide variety of applied and approachable math problems using Python. Whether you're deeply into math or not so much, I think there is a lot to enjoy from this episode.

Links from the show

Applied Mathematics with Open-Source Software: taylorfrancis.com

Book source files: ithub.com

Vince on Twitter: @drvinceknight

Geraint on Twitter: @geraintpalmer

Traces Package: traces.readthedocs.io

A Beautiful Mind: wikipedia.org

Nashpy: github.com

e: The Story of a Number: amazon.com

SymPy episode: talkpython.fm

8451: 8451.com

Stack Overflow Trends: stackoverflow.com

PYCON UK 2017: Python for conducting operational research in healthcare: youtube.com

Ciw package: github.com

Python ternary: github.com

Michael's in-person FastAPI course: maven.com

Reimbursement templates for our courses

Expense a Course at Talk Python: zoho.com

Expense Course Bundle at Talk Python: zoho.com

Expense Cohort Course at Talk Python: zoho.com

Watch this episode on YouTube: youtube.com

Episode transcripts: talkpython.fm

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