4 Tools to Automatically Extract Data from Datetime in Python by Khuyen Tran via @TDataScience

How to Extract Datetime From Text and Data From Datetime.

This is just SO useful.

Estimating Solar Panel Output with Open-Source Data by Ang Li-Lian via @TDataScience

A comprehensive guide for what it takes to estimate solar panel output using Python and QGIS.

I encourage everyone to go to her GitHub to look at this much more fully and find ways to do the same in your area or country.

Cheat sheet of important Docker commands by Yash Salvi via @TDataScience

He tried to list most of the commands, which you’ll find useful many times using docker. The commands follow logical order of pulling image, running container, deleting. Any core commands, which may be missed are more than welcomed in the comments!

Very useful.

WEBINAR - DataOps: A New Methodology for Data Lakehouse Management - 27 September 2022

DataOps: A New Methodology for Data Lakehouse Management       REGISTER             Tuesday, September 27, 2022   10 AM PT | 1 PM ET         Speakers         Anushka Anand Director of Product Management Dremio Kevin Petrie VP of Research Eckerson Group         Hi there, Trying to become a data-driven organization, yet struggling to solve the complexities of data lake management? As the demand for data requests increases, it becomes more difficult to deliver data products to end users. So what’s the solution to simplifying data lake management at scale? DataOps -- a new paradigm taking software engineering principles of source code repositories and treating your data as code.     In this webinar on Sep 27 at 10 am PT / 1 pm ET, learn new capabilities for data lake management as we discuss DataOps best practices on:   Continuous integration and deployment (CI/CD)     Data pipeline testing for quality     Data lake governance

Arabica: A Python Package for Exploratory Analysis of Text Data by Petr Korab via @TDataScience

Arabica provides unigrams, bigrams, and trigrams frequencies by a period in a single line of code. Learn more in this tutorial.

This looks really useful!

WEBINAR: Connected Machines: Everything You Need for Complete IIoT System Management - 20 September 2022

Webinar Series Register Today Date: Tuesday, September 20, 2022 Time: 8 am PT | 11 am ET | 5 pm CEST Duration: 60 minutes SUMMARY In this IoT Central webinar, learn how Industrial Internet of Things (IIoT) connected machine solutions empower factories and enterprises to accelerate IIoT deployments. Connected machines enable digital transformation of machines into profit centers with remote access to eliminate costly engineer travel costs and data collection in real time. Connecting assets empowers manufacturers to deliver new business opportunities, all while gaining complete visibility from collected data to make better decisions and enhance quality and efficiency. IIoT enables remote connectivity to industrial machines throughout the value chain for increased uptime and recurring revenue generation. Connected machines require IoT system management services, including:   Device management Data orchestration  Edge logic  Digital twins  Secure remote access  Enterprise integration  Attendees will learn:  How connected machines enable digital transformation for their enterprise  Why data visualization is critical for IIoT deployments  How to create and manage IIoT connected machine solutions from one dashboard  Join Telit and IoT Central for a deep dive into connected machines. You’ll learn everything you need to connect your machines and experience success with IIoT.  Speaker: Bill Dykas, Product Manager at Telit   Register Today

WEBINAR: How to Maximize the Capabilities of your Data Assets, a Focus on Third-Party Data - 14 September 2022

How to Maximize the Capabilities of your Data Assets, a Focus on Third-Party Data You're invited! When needing to make data-led decisions, businesses have often tried to run before they can walk—in this case, it means teams are not making the most of their data in order to aid their decisions. Third-party data can help to optimize infrastructures and services. Join this webinar to hear from leaders at AWS Data Exchange, Foursquare, and senior industry experts about how leveraging insights from third-party data as part of a wider data strategy can help to provide business growth, increased productivity, and a competitive edge. Register now   WEDNESDAY, SEPT 14   North America 1:00 PM EDT | 10:00 AM PDT   Length: 60 minutes   You will learn: How leveraging the insights of 3P data assists in creating enhanced processes and services The importance of enabling the team as the first step in making the most of data insights Understanding the role of ‘intelligent’ data to aid the decision-making process How to overcome concerns and create trust between wider teams and data-led decisions How AWS Data Exchange and Foursquare services combine to create the ultimate solution in 3P data-led process optimization Who should attend: Chief Data Officers, data scientists, business intelligence, and analytics professionals *The views and opinions of Foursquare and their presenters are their own and do not necessarily reflect the positions of AWS Register now

WEBINAR: The Life of an Apache Iceberg Query - 13 September 2022

The Life of an Apache Iceberg Query       REGISTER

Tuesday, September 13, 2022   10 AM PT / 1 PM ET

Hi there, Apache Iceberg offers the tools for query engines to make fast and efficient query plans on your data lakehouse. In this webinar, we’ll learn how Iceberg queries play out through planning and execution. In this webinar we will learn: The step-by-step process of an INSERT query The step-by-step process of a DELETE query The step-by-step process of an UPSERT/MERGE query The step-by-step process of a SELECT query Understanding of Iceberg delete files Register for this webinar to gain a deeper understanding of how Iceberg brings to you fast queries on your data lakehouse.

Speaker

Alex Merced Developer Advocate Dremio

The Complete Data Science Study Roadmap by Nisha Arya via @kdnuggets

In this article, she is going to map out the things you need to do to become a Data Scientist. This article may solely be for beginners, however, there may be a thing or two that current Junior Data Scientists may have missed out on. This is where I am here to help fill in those gaps so that you don’t have to feel imposter syndrome or lack of confidence in your data science journey.

Interesting and as the introduction says, everyone can fill in gaps of knowledge from this roadmap.