#226 Building Flask APIs for data scientists
Talk Python To Me
English - August 23, 2019 08:00 - 1 hour - 36.4 MB - ★★★★★ - 418 ratingsTechnology Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
If you're a data scientist, how do you deliver your analysis and your models to the people who need them? A really good option is to serve them over Flask as an API. But there are some special considerations you might keep in mind. How should you structure this API? What type of project structures work best for data science and Flask web apps? That and much more on this episode of Talk Python To Me with guest AJ Pryor.
Links from the show
AJ on Twitter: @pryor_aj
AJ's blog: alanpryorjr.com
AJ's direct email: [email protected]
AJ on LinkedIn: linkedin.com
American Tire Distributors blog: medium.com
Job at ATD: Submit your resume to: [email protected]
Flaskerize CLI: github.com/apryor6/flaskerize
Flask_accepts: github.com/apryor6/flask_accepts
Example project using the API structure: github.com/apryor6/flask_api_example
See AJ speak @ Data Science North Carolina 2019, 40% off with code AJP40: dsncconf.com
Presentation on advanced Flask: speakerdeck.com
Original artcile regarding Flask structure: alanpryorjr.com
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