https://anuran-roy.github.io/categories/docs/ Recent content in Docs on A Tinkerer's Canvas Hugo -- gohugo.io en-us Sat, 20 Nov 2021 01:33:47 +0530 https://anuran-roy.github.io/post/projects/pymetrix/flow/ Sat, 20 Nov 2021 01:33:47 +0530 https://anuran-roy.github.io/post/projects/pymetrix/flow/ Download as .zip Download as .tar.gz View on Github Introduction The Flow Class objects make the building blocks of Pymetrix (Previously Analyx). All functions of Pymetrix are built upon the Flow Objects. How do they work? Flow objects are of 3 types: Flow Node Flow Layer Flow Graph Here, each successive element is a collection of the previous one. Anatomy FlowNode() The FlowNode is the basic building block of the entire protocol. https://anuran-roy.github.io/post/projects/pymetrix/overview/ Sat, 20 Nov 2021 01:03:40 +0530 https://anuran-roy.github.io/post/projects/pymetrix/overview/ Download as .zip Download as .tar.gz View on Github How does Pymetrix work? (A sample graph visualization) Pymetrix basically tries to be an opensource plug-‘n’-play python analytics library. It can be extended with various plugins that can be implemented in a manner I’ve tried to keep as straightforward as possible. Organization The Flow Graph: The backbone Being heavily inspired from Google Analytics, Pymetrix makes use of graphs to denote the entire flow of control, with each node denoting the function (or object) you want to get metrics of. https://anuran-roy.github.io/post/projects/pymetrix/home/ Sat, 20 Nov 2021 00:33:47 +0530 https://anuran-roy.github.io/post/projects/pymetrix/home/ Download as .zip Download as .tar.gz View on Github Pymetrix-Python What is Pymetrix? Pymetrix is a plug-and-play analytics library written in Python. Usage Pymetrix is really easy to integrate with your projects. Here’s an example: Let’s say you want to monitor a method foo() defined as: 1 2 3 4 from random import randint def foo(): print(f"Hello world {randint(0,1000000)}!") After adding the required lines, the code will look something like this: