Programming: Flask, Agile, Rust and Python
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How to build an API for a machine learning model in 5 minutes using Flask
As a data scientist consultant, I want to make impact with my machine learning models. However, this is easier said than done. When starting a new project, it starts with playing around with the data in a Jupyter notebook. Once you’ve got a full understanding of what data you’re dealing with and have aligned with the client on what steps to take, one of the outcomes can be to create a predictive model.
You get excited and go back to your notebook to make the best model possible. The model and the results are presented and everyone is happy. The client wants to run the model in their infrastructure to test if they can really create the expected impact. Also, when people can use the model, you get the input necessary to improve it step by step. But how can we quickly do this, given that the client has some complicated infrastructure that you might not be familiar with?
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What is Small Scale Scrum?
Agile is fast becoming a mainstream way industries act, behave, and work as they look to improve efficiency, minimize costs, and empower staff. Most software developers naturally think, act, and work this way, and alignment towards agile software methodologies has gathered pace in recent years.
VersionOne’s 2018 State of Agile report shows that scrum and its variants remain the most popular implementation of agile. This is in part due to changes made to the Scrum Guide’s wording in recent years that make it more amenable to non-software industries.
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This Week in Rust 269
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Async IO in Python: A Complete Walkthrough
Async IO is a concurrent programming design that has received dedicated support in Python, evolving rapidly from Python 3.4 through 3.7, and probably beyond.
You may be thinking with dread, “Concurrency, parallelism, threading, multiprocessing. That’s a lot to grasp already. Where does async IO fit in?”
This tutorial is built to help you answer that question, giving you a firmer grasp of Python’s approach to async IO.
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