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

WEBINAR: Masters of the Universe? How MDM Leaders Solve - 25 February 2021

 

Thursday, February 25, 2021, 3 PM ET Master Data Management remains a cornerstone of information systems. It’s essentially a methodology for virtually reconciling specific entities across a variety of sources. Done correctly, MDM allows companies to track inventory, revenue, and a range of other entities. Why does this matter in the modern world of far-flung systems? Check out this episode of DM Radio to find out! Host Eric Kavanagh will interview MDM experts Aaron Zornes of the MDM Institute, Scott Taylor, the “data whisperer,” and Bob Eve of TIBCO. REGISTER HOST: Eric Kavanagh CEO,  The Bloor Group GUEST: Aaron Zornes Chief Research Officer, The MDM Institute GUEST: Robert Eve Senior Data Management Strategist, Thought Leadership & Digital Content Executive, TIBCO Software Inc GUEST: Scott Taylor The Data Whisperer & Principal Consultant, MetaMeta Consulting

7 Useful Tricks for Python Regex to Learn by Christopher Tao via @TDataScience

 Write powerful and readable regex with them.

This is very useful and well worth a 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

Poison packages – “Supply Chain Risks” user hits Python community with 4000 fake modules by/via @NakedSecurity

If you’ve ever used the Python programming language or installed software written in Python, you’ve probably used PyPI, even if you didn’t realise it at the time.

Definitely something to be cautious of!

Are You Still Using Pandas to Process Big Data in 2021? Here are two better options by Roman Orec via @kdnuggets

When its time to handle a lot of data -- so much that you are in the realm of Big Data -- what tools can you use to wrangle the data, especially in a notebook environment? Pandas does not handle really Big Data very well, but two other libraries do. So, which one is better and faster?

These are some great suggestions and well worth an experiment as you may find if you benchmark against all of them (including Pandas) that you find something much better which will be to your advantage.

A Simple Way To Time Code in Python by @edkruegerdata via @TDataScience

Use a decorator to time your functions in Python.

This looks very helpful if you want to write any Python that does something with dates.

10 Best Free Websites To Learn Programming by Bharath K in @TDataScience

Take a quick sneak peek at the 10 best free websites to learn programming from and improve your coding skills.

I would add to this list that many languages are also available in MOOCs like Udemy and EDX for free too. 

Import all Python libraries in one line of code by @aigeek7 via @TDataScience

Annoyed writing multiple import statements? Let PyForest do the work for you. 

This is really useful and definitely something worth considering. What I don't know, is if the loading of so many libraries would affect performance in some way.

WEBINAR: 7 Ways to Accelerate Business Insights 10 March 2021

 

Sponsored News from Data Science Central

Forward to a Colleague » WEBINAR Modern Data Analytics: 7 Ways to Accelerate Business Insights Wednesday, March 10, 2021 11:00 CET REGISTER   Better insights. Empowered people. Smarter action. Today’s business challenges are outpacing yesterday’s traditional BI and analytics tools. Whether you’re a BI leader, business analyst or someone who makes critical business decisions, you need to be able to respond quickly to changes and stay ahead of the curve. In the webinar 7 Ways to Accelerate Business Insights, speakers from IDC and Qlik® will explore why organizations must modernize their data analytics capabilities. Topics include: How data and analytics are accelerating the decision-making process Tips for serving up the right data and insights at the right times How to empower all types of decision makers to use BI to make sense of their data Why establishing a data-driven culture is crucial for success Register now to reserve your spot. Wednesday, March 10, 2021 at 11:00 CET REGISTER   Webinar Speakers Dan Vesset Group Vice President, Analytics and Information Management IDC   Chris Mabardy Senior Director Product Marketing Qlik REGISTER HERE

Top 10 Python Libraries for Data Science in 2021 by Terence Shin via @TDataScience

What You Should Learn and How You Can Learn them.

There were a few new ones to me and it has given me some "homework" to go and play with them and see how they can help me.

Unit Testing in Deep Learning by @msminhas93 via @TDataScience

In this article, Manpreet talks about unit tests and why as well as how to incorporate these in your code. He will start with a brief introduction of unit tests, followed by an example of unit tests in deep learning and how to run these both via command line and VS Code test explorer.

I really enjoyed reading this and it helps you understand why deep learning might be new but it is not exempt from the need to use unit testing on it before you put it live just like any other piece of code.

How AI (not automation) will revolutionize commercial trucking by @gcnichs via @ZDNet

Beset with labour shortages and the whims of markets and new technologies, truckers are getting a boost from digital brains.

This sounds like a great use for AI but if you read about this you can also see how your own business could use the same technology for something else.