Python Single Responsibility Principle by/via PYTHONTUTORIAL.NET

In this tutorial, you’ll learn about the single responsibility principle and how to implement it in Python.

This was very clear and easy to use. I really think you should use this website to learn more about Python.

21 Cheat Sheets for Data Science Interviews by Nate Rosidi by @kdnuggets

This article has researched and presents the best data science cheat sheets from around the internet, so you don’t have to do it yourself.

Very useful whether you are working as a Data Scientist already or not. Definitely some worth a bookmark, saving in Evernote or a printout.

Data Science Projects That Will Land You The Job in 2022 by Natassha Selvaraj via @kdnuggets

Project ideas and portfolio tips from a self-taught data scientist.

Some great ideas for you to prove that you know what you are talking about.

Thorough examination of bias and variance in the linear regression by Arnaud Capitaine via @TDataScience

The connection between probability definition and machine learning explanation.

Great guide and clear explanation.

Parallelization with MultiProcessing in Python by Vatsal via @TDataScience

Run your data science tasks in parallel to speed up computation time.

Great examples with code to make is easier to do this with your code.

WEBINAR: Future-Ready Analytics | Make Data Everyone’s Business - 9 June 2022

 

Exclusive Virtual Event   Future-Ready Analytics     Register Now

Cloud tech + self-service analytics + even bigger data = even more change. So, how do you keep up when the future is arriving at breakneck speed?   At this exclusive 90-minute virtual event, Alter.Next: Future-Ready Analytics, you'll hear about the critical opportunities that lie ahead for anyone using data: The latest insights from Dr. Michio Kaku, Co-Founder of String Field Theory, Bestselling Author and Professor of Theoretical Physics   How Inchcape has taken their analytics enterprise-wide   New enhancements in automated analytics and cloud-native data engineering from Alteryx     Webinar Details   Date   June 9, 2022   Time   9-10:30am Pacific   Save My Spot   Speakers     Dr. Michio Kaku Bestselling Author, Theoretical Physicist, Futurist, and Popularizer of Science     Boris Evelson Vice President, Principal Analyst Forrester Research     Trevor Schulze CIO Alteryx     Ram Thilak Chief Data Scientist Inchcape     Ian Monk Product Manager ERP & Finance Systems Inchcape     Suganthi Shivkumar Regional Vice President, Asia Alteryx     Jay Henderson SVP Product Management Alteryx     Tiffany Apczynski VP Corporate Social Responsibility Alteryx     Simon Dudley Managing Consultant KBBS     Adam Wilson SVP Product Engineering Alteryx     Heidi Badgery ANZ Managing Director Alteryx

WEBINAR: How Enel Group built a data mesh architecture with Dremio and Agile Lab - 9 June 2022

 

How Enel Group built a data mesh architecture with Dremio and Agile Lab       Register Now             Thursday, June 09, 2022   11 AM CET         Speakers         Jeremiah Morrow Partner Solution Marketing Director Dremio Nicolò Bidotti Big Data Architect Agile Lab         Achille Barbieri Senior Project Manager ENEL         Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases, yet they are challenged with providing access to all of their data across business units, regions, and cloud environments. In this webinar, learn how Enel Group worked with Agile Lab to implement Dremio as a data mesh solution for providing broad access to a unified view of their data, and how they use that architecture to enable a multitude of use cases. In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance. An example of datamesh paradigm adoption. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units Leveraging Dremio for data governance and multi-cloud with Arrow Flight.