Posts

As we discussed in previous post, in this series we will be working on different type of regression problem and will try to parse them as sklearn model objects. Here are we will be working with ExponentialSmoothing from statsmodels library.

Those who are working in ML space of sometime must be aware that there are multiple python libraries out there which support different algorithms/models. When you are trying to implement best model it is not possible to use just a single library or even a single language and compute infra.

Exploring poetry for dependency management in python In general pip & venv is a good combination of tool when you don’t have to manage multiple dependencies for your project. But imaging that in a project you need to management multiple dependency files to deploy code into multiple envs.

When we are working in an collaborative work environment, this is important to share a common set of convention which makes collaboration easier. Here are some of the common gitops best practice which has helped to collaborate better,

In this post I’m going to discuss three docker tools which I find really useful in my day to day workflow. These tools are, Dive Portainer dozzle Dive: quick check of docker images Dive is super useful to check if there any unnecessary data stored in a docker image.

List of tools used in this post commitizen conventionalcommits Git Hooks Pre-commit hook GitHub Action Semantic Versioning Here is a sample repository which show the implementation below. Context & overview Lets assume that we are going to build a python library.

This is important to have a working local development environment for quick prototyping and developing CRUD application using Fast API. Here in this post we are going to explore how we can quickly spin up and a local development environment.