5 Super Handy Linux Commands that Everyone Should be Aware of by @CintoSunny via @gitconnected

Mastering the various terminal commands is a must for everybody.

This is something I badly needed as I am not very good at all at Linux and any other type of unix.

It’s Time to Develop a Cloud Exit Strategy by Martin Hosken via @VMware

Multi-cloud is emerging as a strategy for many organizations looking to innovate and build a competitive edge. However, just because “everyone is doing it” doesn’t mean they’re doing it right.

I hadn't thought about a need to always have an exit strategy for whatever you are planning to implement but if you think about it some more, it does make sense. Plan to leave before you are actually already there. Then you are covered for the future of your organisation.

WEBINAR: Making Scaled Data Science Work For People - 30 March 2021

 

Making Scaled Data Science Work For People, March 30, 5 pm ET

Making Scaled Data Science Work For People, March 30, 5 pm ET Data science is too often discussed as a technical discipline, rather than a social and cultural one. But the role of data science is to both inform and automate decision-making processes, which require, in turn, humans to collaborate and communicate with each other and humans to collaborate with machines, both of which have key cultural and social dimensions. This webinar, presented by Hugo Bowne-Anderson, Head of Data Science Evangelism and Marketing at Coiled, will answer key questions, including Why do so many executives feel that so little of the data work in their organizations actually deliver returns? How can we reduce friction in factoring the process of turning business questions into business answers through the intermediaries of data questions and data answers? What provisions need to be in place to make sure that everybody is speaking enough of the same data languages to excel at their jobs? How do we promote data literacy throughout organizations while getting the job done? Join us on March 30th at 5 pm ET by signing up here Register Now

6 Alternatives to Classes in Python by Martin Thoma in @BttrProgramming

Speed of development, execution time, (de)serialization, and maintainability all play a role in making your code shine.

I found this really interesting and it made me think a bit harder about how I should write my code and what alternatives I could use to make it a bit more efficient.

New Algorithm Breaks Speed Limit for Solving Linear Equations by @KSHartnett via @QuantaMagazine

By harnessing randomness, a new algorithm achieves a fundamentally novel - and faster - way of performing one of the most basic computations in math and computer science.

I found this fascinating and it shows that progress is made all of the time - the tech world does not standstill.

Data-as-a-Service: DaaS Benefits & Trends by Ekaterina Novoseltseva via @Apium_hub

Businesses across the globe highlight DaaS not only as a unique revenue channel but also a path to reshape the business world through competitive intelligence. The increasing importance of data and analytics is driving the importance of data as a service. External DaaS services enable companies to easily access external data. Internal DaaS services make it easier for companies to democratize analytics and empower their business users. So, in this article, she will discuss Daas benefits and the latest trends. 

I found this really interesting and it was a very comprehensive piece and so well worth the time investment to read.

WEBINAR: Solving Problems with Commercial & Open Source - 25 March 2021

 

Data Science Central Webinar Series Event

Solving Problems with Commercial & Open Source Join us for this latest DSC Webinar on March 25th, 2021 By combining CDC datasets with academic and industry research, IndiOmics has created multi-omics methods for modeling the impacts of chemical exposure on cellular behavior and health. The IndiOnomics data science approach combines open-source tools and secure SAS environments to analyze variables in chemistry, microscopy, and biomarker detection, resulting in visualizations of both individual and population-level outcomes. In this webinar, Melissa Strong, PhD, discusses how IndiOnomics leverages data science to generate awareness about environmental exposures and preventative measures. Speakers:   Melissa Strong, PhD, Founder & Lead Data Scientist - IndiOmics Hosted by:   Rafael Knuth, Contributing Editor - Data Science Central   Title:  Solving Problems with Commercial & Open Source Date:  Thursday, March 25th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your Webinar seat now