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 
 
<div>Applied Mathematics with Open-Source Software: <a href="https://www.taylorfrancis.com/books/mono/10.1201/9780429328534/applied-mathematics-open-source-software-vincent-knight-geraint-palmer" target="_blank" rel="noopener">taylorfrancis.com</a> 
Book source files: <a href="https://github.com/drvinceknight/amwoss" target="_blank" rel="noopener">ithub.com</a> 
Vince on Twitter: <a href="https://twitter.com/drvinceknight" target="_blank" rel="noopener">@drvinceknight</a> 
Geraint on Twitter: <a href="https://twitter.com/geraintpalmer" target="_blank" rel="noopener">@geraintpalmer</a> 
Traces Package: <a href="https://traces.readthedocs.io/en/latest/" target="_blank" rel="noopener">traces.readthedocs.io</a> 
A Beautiful Mind: <a href="https://en.wikipedia.org/wiki/A_Beautiful_Mind_(film)" target="_blank" rel="noopener">wikipedia.org</a> 
Nashpy: <a href="https://github.com/drvinceknight/Nashpy" target="_blank" rel="noopener">github.com</a> 
e: The Story of a Number: <a href="https://www.amazon.com/Story-Number-Princeton-Science-Library/dp/0691168482" target="_blank" rel="noopener">amazon.com</a> 
SymPy episode: <a href="https://talkpython.fm/episodes/show/364/symbolic-math-with-python-using-sympy" target="_blank" rel="noopener">talkpython.fm</a> 
8451: <a href="https://www.8451.com" target="_blank" rel="noopener">8451.com</a> 
Stack Overflow Trends: <a href="https://insights.stackoverflow.com/trends?tags=r%2Cjulia%2Cpython" target="_blank" rel="noopener">stackoverflow.com</a> 
PYCON UK 2017: Python for conducting operational research in healthcare: <a href="https://www.youtube.com/watch?v=CcEURL392-w" target="_blank" rel="noopener">youtube.com</a> 
Ciw package: <a href="https://github.com/CiwPython/Ciw" target="_blank" rel="noopener">github.com</a> 
Python ternary: <a href="https://github.com/marcharper/python-ternary" target="_blank" rel="noopener">github.com</a> 
 
Michael's in-person FastAPI course: <a href="https://talkpython.fm/fastapi-cohort1-c27e" target="_blank" rel="noopener">maven.com</a> 
 
Reimbursement templates for our courses 
Expense a Course at Talk Python: <a href="https://workdrive.zohoexternal.com/external/43bcb430d722b4bf0c0368d977e25fe28ae7af0b7380937bf59d988fc844402b" target="_blank" rel="noopener">zoho.com</a> 
Expense Course Bundle at Talk Python: <a href="https://workdrive.zohoexternal.com/external/06c545cfe2c2bf51033cc6c5de01fbe60483d46237a194ebf91711943b6fa715" target="_blank" rel="noopener">zoho.com</a> 
Expense Cohort Course at Talk Python: <a href="https://workdrive.zohoexternal.com/external/a7800c11fc08060aaf08c0d616814e0ce454e4438854011cf6d7476cc46701d4" target="_blank" rel="noopener">zoho.com</a> 
Watch this episode on YouTube: <a href="https://www.youtube.com/watch?v=RgOJjF8EteU" target="_blank" rel="noopener">youtube.com</a> 
Episode transcripts: <a href="https://talkpython.fm/episodes/transcript/372/applied-mathematics-with-python" target="_blank" rel="noopener">talkpython.fm</a> 
 
--- Stay in touch with us --- 
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Follow Michael on Twitter: <a href="https://twitter.com/mkennedy" target="_blank" rel="noopener">@mkennedy</a> </div> 
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#372: Applied mathematics with Python

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