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Why Taskgroup and timeout Are so Crucial in Python 3.11 Asyncio | Structured Concurrency

New features of the Python 3.11 asyncio package1. IntroductionFor every data scientist, improving Python code’s efficiency is essential. Two ideas can help us achieve this goal:Due to the existence of GIL in Python, multi-threading has never been as efficient as expected, and each thread switch needs to compete for GIL locks leading to a severe waste of resources.So, starting with version 3.4, Python introduced a new approach to concurrent programming: coroutine. Without GIL, the coroutine puts the timing of background…

A structured approach for comparing monetary theories

Credit: Pixabay/CC0 Public Domain A research paper in the International Journal of Pluralism and Economics Education has taken a structured approach to comparing monetary theories. In it the team proposes a taxonomy, a classification, for comparing monetary theories based on their primary monetary function. The work is pertinent in the wake of the 2007/2008 financial crisis as monetary systems face increased scrutiny, and…

ESOPDhan: Financial services startup ESOPDhan looking to raise structured debt to drive growth

Financial services firm, ESOPDhan, is looking to raise structured debt in the coming weeks to fund its business model of lending to employees of high-growth unicorns to exercise vested ESOPs. So far, founders Shravan Shroff and Nitin Agarwal have funded the start up, ESOPDhan, through equity. ESOPDhan is planning to go for raising structured debt from investors and large family offices, once its current corpus is fully used up.It has lent Rs 20 crore to 15 Bengaluru and Hyderabad-based employees of two US-based tech…

Build low-latency and scalable ML model prediction pipelines using Spark Structured Streaming and MLflow | by YUNNA WEI | Jan, 2023

MLOps in practice series — sharing design and implementation patterns of critical MLOps component. The focus of today’s article is on building model prediction pipelines.To make ML models work in a real production environment, one of the most critical steps is to deploy the trained models for predictions. Model deployment (release) is a process that enables you to integrate trained ML models into production to make decisions on real-world data. When it comes to model deployment, there are generally two types:One is batch…

A Fast Look at Spark Structured Streaming + Kafka | by João Pedro | Nov, 2022

Learning the basics of how to use this powerful duo for stream-processing tasksPhoto by Nikhita Singhal on UnsplashRecently I started studying a lot about Apache Kafka and Apache Spark, two leading technologies in the data engineering world.I’ve made several projects using them in the last few months; “Machine Learning Streaming with Kafka, Debezium, and BentoML” is an example. My focus is to learn how to create powerful data pipelines with these modern famous tools and get a sense of their advantages and disadvantages.In…

A Stepped Approach for Balancing and Augmenting Structured Data for Classification | by Bruce H. Cottman, Ph.D. | Oct, 2022

Class ImbalanceData augmentation generates simulated data from a dataset. The more data we have, the better the chosen learner will be at classification or prediction.Balancing classes of rocks. Photo by Karsten Winegeart on UnsplashStructured Data Augmentation is rarely discussed in theoretical approaches and rarely appears in real-world production systems. When it does, it is called class balancing or over-sampling.I will show a simplistic approach to Structured Data Augmentation. In a future follow-on to this article,…

Google Search Console mislabeled structured data errors as errors

Instead of labeling many of the structured data issues as “warnings” Google labeled many as “errors” within the rich results reports in Google Search Console. Google fixed the reporting issue on October 25th and as a result, you may see a lot of the errors move from a critical status to a warning status. Google’s statement. Google posted a statement saying that on October 25, 2022 “Some structured data issues were mislabeled as errors, when in fact they are warnings.” Action…

Deliverance reviewed: ‘a finely structured allegory about America’ – archive, 1972 | Deliverance

The great thing about John Boorman’s Deliverance (Warner Rendezvous, X) is that it’s a cracking good story. One puts it in these terms first because that’s just what most new films meanderingly aren’t. The cinematic art of narrative drive, often the prime quality of those film-makers we tend to deride, has largely been lost by less instinctive successors it is possible to admire too much for what they are saying, rather than how.This is not to say that Deliverance is purely a commercial undertaking, though there is no…

Google adds 3 new content guidelines for Education Q&A structured data

Google has added a new Content Guidelines section to its help document on Education Q&A structured data. The new guidelines. Here are the new guidelines Google has added: Education Q&A pages must follow the same content guidelines for Q&A pages.Your page must contain education related questions and answers. There must be at least one question and answer pairing on your page, and the answer must be related to and answer the user’s question.You are responsible for the…

How To Develop Structured Thinking As A Product Manager?

“Build this feature”, ”Where is this integration?”, ”Our competitor is doing it, why aren’t we?” etc etc etc. And to make things worse, all these requests are probably coming in from 10 different platforms.As a Product Manager, your days are filled with incessant requests from internal and external stakeholders. And when you’re already working on your current roadmap and on your 5th cup of coffee for the day, it can be hard to get your thoughts around all these never-ending incoming requests. I mean, c’mon, we’re still…