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The Awesome Python feed

doccano

python

Package Added by Hironsan into category Django

Calibrating Stochastic Processes using Bayesian Inference & PYMC3

Demonstrating the benefits of using Bayesian Inference and PYMC3 for estimating the parameters of stochastic process commonly used in quantitative finance.

Tutorial Added by: AlexIoannides // alexioannides.com

Deploying Python ML Models with Flask, Docker and Kubernetes

An introduction to Python machine learning model deployment operations (MLOps) using Flask, Docker, Kubernetes and Seldon-Core.

Tutorial Added by: AlexIoannides // alexioannides.com

Eliot

Author of Eliot here: if you're tired of just seeing a bunch of unrelated facts in your logs, Eliot can help. Because it shows you causality—this was caused by that—it's a lot more like reading an execution trace than most logging systems. I've used it in a complex scientific batch process to figure out where the calculation went wrong, pinpoint performance problems, and debug small-scale distributed systems.

Package Recommended by itamarst

Farewell to fsync(): 10× faster database tests with Docker

When your Python application uses a database, tests can be frustrating: they're either unrealistic if you use a fake, or slow to run if you use the real database. But with a little bit of trickery (made easier by Docker) you can have your tests run much much faster and still be just as realistic.

Article Added by: itamarst // pythonspeed.com

pipelines

A compile-to-Python language for writing high-level pipelines

Package Added by calebwin into category Concurrency and Parallelism