A Comprehensive Introduction to Bayesian Deep Learning by Joris Baan via @TOPBOTS

Even knowing basic probability theory, you may have a hard time understanding and connecting that to modern Bayesian deep learning research. In this article, Joris Baan aims to bridge that gap and provides a comprehensive introduction.

I found this useful especially if you can do with a reminder of Bayesian DL and certainly I appreciated the reminder and was able to approach it with a fresher viewpoint.

Python’s Most Confusing Operator by @emmettboudgie via @TDataScience

An interesting look at the quirks and features of Python’s plus-equals operator. 

It takes a little getting used to and I still have to work code around in my head just to be sure it does what I want it to do. A great article that gave me a much better summary of the plus-equals usage and meaning.

WEBINAR: Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh 10 June 2021

 

Data Science Central Webinar Series Event

Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh Join us for this latest DSC Webinar on June 10th, 2021 Converting production databases into live data streams for Apache Kafka can be labor intensive and costly. As Kafka architectures grow, complexity also rises as data teams begin to configure clusters for redundancy, partitions for performance, as well as for consumer groups for correlated analytics processing. In this latest Data Science Central webinar, you’ll discover how Qlik’s data integration platform lets organizations automatically produce real-time transaction streams into Kafka, Confluent Platform, or Confluent Cloud, deliver faster business insights from data, enable streaming analytics, as well as streaming ingestion for modern analytics. Speakers:   Adam Mayer, Senior Technical Product Marketing Manager - Qlik     Rankesh Kumar, Partner Solutions Engineer - Confluent    Hosted by:   Sean Welch, Host and Producer - Data Science Central   Title:  Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh Date:  Thursday, June 10th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your seat now

Stop Using Python Lists Everywhere — Consider Using Deques Instead by Yong Cui via @BttrProgramming

Know when to use deques as an alternative to Python lists.

I had no idea these existed and I am SO glad I read this - so thank you - because it has changed the way I write some python code (for the better).

WEBINAR: Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh - 10 June 2021

 

Data Science Central Webinar Series Event Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh Join us for this latest DSC Webinar on June 10th, 2021 Converting production databases into live data streams for Apache Kafka can be labour-intensive and costly. As Kafka architectures grow, complexity also rises as data teams begin to configure clusters for redundancy, partitions for performance, as well as for consumer groups for correlated analytics processing. In this latest Data Science Central webinar, you’ll discover how Qlik’s data integration platform lets organizations automatically produce real-time transaction streams into Kafka, Confluent Platform, or Confluent Cloud, deliver faster business insights from data, enable streaming analytics, as well as streaming ingestion for modern analytics. Speakers:   Adam Mayer, Senior Technical Product Marketing Manager - Qlik     Rankesh Kumar, Partner Solutions Engineer - Confluent    Hosted by:   Sean Welch, Host and Producer - Data Science Central   Title:  Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh Date:  Thursday, June 10th, 2021 Time:  9:00 AM - 10:00 AM PST   Space is limited so please register early: Reserve your seat now

6 side hustles for an aspiring data scientist by Ahmad Bin Shafiq via @kdnuggets

The ideas the author is about to suggest would certainly help you upskill, earn a good side income as a data scientist, and most importantly, be your own boss.

This was interesting.

Kedro: The Best Python Framework for Data Science!! by Josue Luzardo Gebrim via @Medium

Kedro: Python Framework for data sciences!

I liked this and all the code snippets. It certainly introduced me to something I was not familiar with and it gives me something to investigate further.