I wrote a lot of web scraping libraries back in the day in C#. I had considered porting my library to Python.
Python Simplified discusses the benefits of using Mechanical Soup over Beautiful Soup for web scraping.
Code First covers the top 5 Python GUI libraries to amp up your Python projects.
Up and Atom talks about the physics of randomness.
Two Minute Papers explores the paper “High-performance brain-to-text communication via imagined handwriting.”
As much as I’d like the idea of sending a text message without typing, this is a tad creepy.
Microsoft has announced a new Employee Experience Platform [EXP], which contains four modules Viva Connections, Viva Learnings, Viva Topics, and Viva Insights.
In this video tutorial, Giuliano De Luca will show you in Preview the new Viva Insights App released recently by Microsoft in the Team Apps Store.
In this latest episode of Azure Unblogged join Sarah as she talks to Bharath Sivaraman, Senior Program Manager on the Azure Migrate team.
Bharath covers off how Azure Migrate can help companies with their migration projects, whether it involves servers, web apps or databases.
Bharath walks us through demos of the discovery and assessment capabilities of the product as well as showing us how it can help with your Azure VMware Solution (AVS) migration.
The abundance of automation and tooling made it relatively manageable to scale designs in complexity and performance as demand grew.
However, the power being consumed by AI and machine learning applications cannot feasibly grow as is on existing processing architectures.
Where do we go from here?
New Mind explores.
Steve Brunton explains reinforcement learning.
Reinforcement learning is a powerful technique at the intersection of machine learning and control theory, and it is inspired by how biological systems learn to interact with their environment. In this video, we provide a high level overview of reinforcement learning, along with leading algorithms and impressive applications.
Anastasia Marchenkova explains what a quantum annealer is, and what can it do?
While they rely on the same quantum mechanical concepts, quantum annealers are especially great for optimizing solutions to problems by quickly searching over a space and finding a minimum (or “solution”) and also sampling problems.
For optimizing solution, you can think of this as looking over a landscape and finding where the low point is. An annealer does that!