Python List Print — 7 Different Ways to Print a List You Must Know by Dario Radečić via @TDataScience

Explore endless possibilities of printing and formatting lists in Python.

Some of these were new for me and so I expect others will discover something new here too.

Get a Master's In Data Science for FREE! by Yash Gupta via @Medium

Education has been provided by schools and universities for a very long time. But in today’s digital era, there is nothing in this world you cannot learn using the Internet.

Some of the free online courses and sources of data are well worth the time investment in time and effort.

50 python one-liners everyone should know by Allwin Raju via @Medium

He was always amazed by how easily things can be done using python. Some of the tedious tasks can be done in a single line of code using python. He has gathered some of his favourite one-liners from python.

This is a great resource and something that you may learn from. 

WEBINAR: How to Create a Keyword Spotting System in 20 minutes - 29 March 2022

Workshop Series How to Create a Keyword Spotting System in 20 minutes Register Today Date: Tuesday, March 29, 2022 Time: 9:00 am PDT | 4 pm UTC | 6:00 pm EET Duration: 27 minutes In this IoT Central MicroSession, learn how to create a keyword spotting system to recognize spoken words. In this demonstration, you will learn how to capture data using an Arduino board and classify spoken words using Edge Impulse. Instructor: Shawn Hymel, Senior DevRel Engineer, Edge Impulse Optional Hardware: Arduino Nano 33 BLE Sense Preperation: Free sign-up at https://studio.edgeimpulse.com/signup Register Today

8 Essential Python Techniques for Data Engineers and Analysts (with code samples) by @camwarrenm via @TDataScience

These are the Python code snippets he re-uses the most.

Something to bookmark for sure. I'm sure we all have a basic toolset of code scripts in various languages that we use and edit every time we need to do something.

10 Python operations for 70% of your Data Analysis by Anmol Tomar via @Medium

Day to day work of a Data Scientist involves a variety of tasks such as data pre-processing, data analysis, machine learning model creation, model deployment.

This is so good I almost feel as if we need to give a commission to Anmol every time we run this kind of code!

Take 5 Minutes to Get Started With Multi-threading in Python by Amit Chauhan via @Medium

 Run several applications at the same time.

I needed to find a way to do this so I am really grateful to Amit for showing me how to in this article. Definitely a must-read if you want to do anything interesting in Python.

Top 3 Free Resources to Learn Linear Algebra for Machine Learning by Natassha Selvaraj via @kdnuggets

This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.

I suggest you do something to get your mathematics up to a great standard - I actually did a course on Coursera which again was free.

WEBINAR: Modernise Your Data Warehouse - 22 March 2022

 

Hi there, Hundreds of companies have already moved their traditional ETL and data warehouse workloads to the Databricks Lakehouse Platform in the cloud. Join us at the Modernize Your Data Warehouse Webinar on March 22, 2022, at 10 AM PT to learn more about why the lakehouse is your next data warehouse — and to better understand the architecture, customers’ modernization journeys, and how to plan and execute your data warehouse migration to Databricks. In this webinar, we will cover: How Databricks experts can help you plan a comprehensive EDW and ETL migration process How to implement your migration and highlight some key migration partners Live Q&As throughout the presentation

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How Blockchain Could Contribute to Ending Poverty in All Its Forms by/via @VanRijmenam

Technological advancements have reduced global poverty significantly in the past 100 years. Many people have been able to leave poverty due to this.

I can see that this is much cheaper and that it can (via cost savings) open up banking and that can then be available to businesses as well as people to spread prosperity across the world. We just need to think about the best way to implement it to ensure it is secure and trustworthy.

WEBINAR: Shadow AI: The Silent Killer of Deep Learning Productivity - 17 March 2022

 

Sponsored News from Data Science Central

Shadow AI: The Silent Killer of Deep Learning Productivity What: A free online webinar exclusively for IT Pros When: Thursday, March 17th, 12:00 PM EDT Where: From the convenience of your personal computer  Register Now In this latest Data Science Central webinar, meet Shadow IT’s younger sibling. Shadow AI is the result of one-off AI initiatives inside organizations, where siloed AI teams buy their own infrastructure or use cloud compute resources. While no organization wants to stifle the ambition of its data science teams, this decentralized approach results in many AI initiatives never making it to production. Learn from Gijsbert Janssen van Doorn at Run:ai how to centralize AI so that it is accessible and productive across an entire organization. In this webinar, you will learn: Why Shadow AI exists, and how to prevent it at your organization The benefits of centralizing your AI compute resources What a best-practice centralized AI infrastructure looks like Hope to see you there, Sean Welch Data Science Central

An Easy Guide to Choose the Right Machine Learning Algorithm by Yogita Kinha via @kdnuggets

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

This is really useful and in many ways, I wish it had been available years ago. Worth a bookmark.

WEBINAR - Microsession - How to Classify Motions Using Embedded ML and Accelerometers - 15 March 2022

 

Workshop Series How to Classify Motions Using  Embedded ML and Accelerometers Register Today Date: Tuesday, March 15, 2022 Time: 9:00 am PDT | 4 pm UTC | 6:00 pm EET Duration: 15 minutes In this IoT Central MicroSession, learn how to classify three-axis motion signatures with machine learning using Edge Impulse. You will navigate through the full MLOps pipeline from the data collection to the live inferencing passing by the digital signal processing features extraction and the neural network training. Instructor: Louis Moreau, Senior DevRel Engineer, Edge Impulse Optional Hardware: Sensor or smartphone with 3-axis accelerometer Preparation: Free sign-up at https://studio.edgeimpulse.com/signup Register Today

D-Tale: One of the Best Python Libraries You Have Ever Seen by Ismael Araujo via @TDataScience

Here is his take on this must-have Python library and why you should give it a try.

I like this - it looks incredibly easy to use and very intuitive. Definitely, one to add to your list of very useful Python libraries.

Blockchain Use Cases, Advantages, Issues, and Implementation Tips by Terry Wilson via @Datafloq

Blockchain use cases expand to different industries, and businesses can leverage this technology to replicate Jones’ success. And many are already doing this by turning to blockchain consultancy firms to build a suitable solution. MarketsandMarkets project the global blockchain market size to amount to $67.4 billion by 2026, jumping from $4.9 billion in 2021 at a CAGR of 68.4%. 

This was really clear and very useful if you want to understand more about blockchain as well as how you could use one. I particularly like the examples of organisations that use one and what it is used for.

WEBINAR: Designing an Effective SQL Data Lakehouse - 10 March 2022

 

See Dremio Cloud in action and ask our product experts questions. Join Wednesdays at 10:00 AM PT. Register Here.           Designing an Effective SQL Data Lakehouse       REGISTER             Thursday, March 10, 2022   09 AM PT 12 PM ET         Speakers         Deepa Sankar VP of Portfolio Marketing Dremio Kevin Petrie Vice President of Research Eckerson Group       Hi, SQL data lakehouses are a growing trend among organizations looking to run SQL queries for analytics and BI directly on their cloud data lakes. What's needed for success with this cloud data architecture? Learn how to design an effective SQL Data Lakehouse with experts Kevin Petrie, VP of Research at Eckerson Group, and Deepa Sankar VP Portfolio Marketing at Dremio. You will learn:   Why organizations are adopting SQL data lakehouses     7 must-have characteristics and architectural components     How to build and execute a successful SQL data lakehouse strategy

Decision Tree Algorithm, Explained by Nagesh Singh Chauhan via @kdnuggets

All you need to know about decision trees and how to build and optimize decision tree classifiers.

A very clear and easy to understand guide that you might want to share with any folks that need the detailed information in it.

WEBINAR: How McLaren Racing Keeps Fans Loyal - 15 March 2022

 

Winning a new customer costs a lot more than keeping an old one. That’s business 101. But building loyalty is easier said than done. The McLaren Racing team has done just that, and now they’re ready to share.   McLaren Racing’s fan engagement strategy has been as much of a secret as what’s under the hood of their cars. Now their top engagement expert is talking, and here’s just a little of what he’ll cover:   Surveys: what they say about fans, and how to parse their rich insights   Segmentation: how McLaren Racing uses analytics to maximize loyalty and engagement   Optimization: how the team improves business results by making data accessible across their team     Join the webinar   Date   Tuesday, March 15, 2022   Time   9 a.m. Pacific   Save My Spot   Speakers     Edward Green Head of Commercial Technology McLaren Racing     David Sweenor Senior Director Product Marketing Alteryx   Partner