https://anuran-roy.github.io/tags/python/ Recent content in python 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: https://anuran-roy.github.io/post/blog/machine-learning/ Sun, 29 Aug 2021 00:00:00 +0000 https://anuran-roy.github.io/post/blog/machine-learning/ “Predicting the future isn’t magic, it’s artificial intelligence” ~Dave Waters Yes, and machine learning is one of the most fascinating aspects of Artificial Intelligence. So what is machine learning? Machine learning leverages the power of statistical modelling to learn patterns in data that can be leveraged to predict outcomes from previously unseen data. Sounds too jargon-y? Let me break it up for you: Imagine a situation, where you are one of the decision makers in a business, and you want to increase the company profits for the next quarter, based on various products of your company. https://anuran-roy.github.io/post/blog/offline-speech-with-vosk/ Sat, 24 Jul 2021 20:43:12 +0530 https://anuran-roy.github.io/post/blog/offline-speech-with-vosk/ No more Sphinx The long-lived and long-loved CMU Sphinx, a brainchild of Carnegie Mellon University, is not maintained actively anymore, since 5 years. But does that mean that we need to move to more production-oriented solutions? No, we actually don’t. The team CMU Sphinx Project has slowly rolled in a new child project - Vosk. Note that there are many other production-oriented solutions available (like OpenVINO, Mozilla DeepSpeech, etc.), which are equally as good, if not better at speech recognition.