9 free Resources to master Python
Resources that help to either teach or improve knowledge skills
This is the 40th edition of CrunchX and here are the stories and resources we thought were worth spending time on.
1. 7 SQL Concepts you should know for Data Science
Knowledge in SQL is essential when working in the field of data science. This article describes seven SQL concepts one should know when working in the area of data science. Written by Kanwal Mehreen on KDNuggets and editorial selection by Christianlauer. Read the article here:
https://www.kdnuggets.com/2022/11/7-sql-concepts-needed-data-science.html
2. 9 free Resources to master Python
Knowledge in Python is very important when one wants to pursue a working career in the field of data science. This article features nine free resources that help to either teach or improve knowledge skills in the programming language of Python. Written by Nahla Davies on KDNuggets and editorial selection by Christianlauer. Read the article here:
https://www.kdnuggets.com/2022/11/9-free-resources-master-python.html
3. What to expect for AI Quality Trends in 2023
AI plays an increasing role in today’s society and world. Therefore, it is important to focus on how AI quality is ensured. This article talks about possible trends for AI quality for the upcoming year 2023. Written by Anupam Datta on KDNuggets and editorial selection by Christianlauer. Read the article here:
https://www.kdnuggets.com/2022/11/expect-ai-quality-trends-2023.html
4. How LinkedIn uses Machine Learning to rank your Feed
LinkedIn is used by millions of people who want to connect with the economy. This article describes how the online career network is using machine learning in order to rank one’s feed within their infrastructure. Written by Youssef Hosni on KDNuggets and editorial selection by Christianlauer. Read the article here:
https://www.kdnuggets.com/2022/11/linkedin-uses-machine-learning-rank-feed.html
5. Only Solve One New Problem At A Time
It’s important, in software engineering as well as many other areas, to only solve one problem at a time lest you get overwhelmed and distracted and also to also solve problems incrementally and not bite off more than you can easily chew at one time. Ben Nadel’s short article gives an example of this and links to another article detailing 10 important pieces of practical advice that he and his colleagues have learned from their experience of running a SaaS company. An excellent read for both aspiring founders and everyday coders. Written and published by Ben Nadel and editorial selection by Dr. Stuart Woolley. Read the article here:
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https://www.bennadel.com/blog/4352-only-solve-one-new-problem-at-a-time.htm
6. Is Kubernetes Too Complicated? How About ClickOps With Qovery?
The DevOps Toolkit YouTube channel occasionally produces some excellent videos and sage advice, and in this episode “Is Kubernetes Too Complicated?” they delve into “shifting left” by enabling developers to do tasks themselves via clever uses of infrastructure and automation. If you’re into DevOps knee-deep in Kubernetes it’s well worth a watch — along with many of their other videos. Published by DevOps Toolkit and editorial selection by Dr. Stuart Woolley. Watch the video on YouTube here:
https://www.youtube.com/watch?v=EznBV1km580
7. Abi Noda on Developer Experience
Great podcast on why developer experience matters. Abi created Pull panda which helps with PRs and code reviews and sold the startup to Github. What better person to talk to than this guy. Great listen for any developer. Published on Software Engineering Radio and editorial selection by Miloš Živković. Read the article here:
https://www.se-radio.net/2022/08/episode-524-abi-noda-on-developer-experience/
8. Scaling Data — Monoliths, Migrations, and Microservices with Randy Shoup
Randy Shoup goes deeper in what are the main issues in scaling data in microservices. Denormalization is something most developers encounter in microservices. Randy has a lot of experience in microservices and knows what he talks about. Published on CernerEng and editorial selection by Miloš Živković. Watch the video on YouTube here:
https://www.youtube.com/watch?v=WNJVETWAQkc
9. How I over-engineered a Fast Fourier Transform for Arduino
At some point, any accomplished programmer has tried to implement an FFT, but most rely on pre-made libraries for speed and efficiency. Hugo Levy-Falk takes it up a serious notch by not only taking on an implementation of an FFT but also in the high-performance Julia language on an Arduino. Read about how he did, over the 18 months he spent on it. Written and published on Klafyvel and editorial selection by Dr. Stuart Woolley. Read the article here:
https://klafyvel.me/blog/articles/fft-arduino/
10. 2 years at Twitter
If you’re following the news regarding Twitter it’s hard to know what to think and how things are going to pan out over the longer term. However, it’s also a great opportunity to learn about how things were designed and implemented at Twitter based on how the people leaving are writing up their experiences there. Eugene Yokota has an excellent write-up on his 2 years at Twitter, working with the Build team, with some focus on their use of Scala. Written by Eugene Yokota on eedesign and editorial selection by Dr. Stuart Woolley. Read the article here:
Closing Note
These are our picks for this week. Hope you found something new, inspiring, astonishing, and knowledgeable news going around the tech space. Thank you very much for taking the time to read this edition of CrunchX. Look out for the next edition the following week.
Regards,
CodeX Team
