147: Quantum Computing with Yonatan Cohen

Yonatan Cohen – Co-Founder & CTO of Quantum Machines – joins us in this episode to tackle quantum computing! Did you know anyone can run quantum programs on Amazon Web Services for mere dollars? Learn about this field early to take pole superposition in the race to understand and use quantum computers!

00:00:45 Introductions

00:01:20 Yonatan’s beginnings

00:03:49 The simulation question

00:05:51 How physics led to quantum computing

00:14:56 Richard Feynman

00:16:44 On the irreversibility of normal computers

00:21:25 Logic gates

00:25:04 Qubits

00:30:11 An example of qubits

00:38:19 Why simulating a quantum computer matters

00:42:23 NP-complete problems

00:48:57 More people at a higher development level are needed

00:54:16 Quantum machines in the middle layer

01:02:56 Working at Quantum Machines

01:05:05 Farewells

Resources mentioned in this episode:

Links:

• Quantum Machines:

• Website: https://www.quantum-machines.co/

• Careers: https://www.quantum-machines.co/careers/

• Yonatan Cohen:

• Linkedin: https://www.linkedin.com/in/yonatan-cohen-10076b113/

References:

• Getting Started with Quantum Computing

• https://builtin.com/software-engineering-perspectives/how-to-learn-quantum-computing

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146: RubyShield, Ruby Central, and Shopify with Mike Dalessio and Evan Phoenix

In this tour-de-force, Mike Dalessio – Engineering Director at Shopify – and Evan Phoenix – self-described “long-time Rubyist” – join us for a practical discussion of all things Ruby! Ruby is a beautiful language, and we're really excited to cover the history and present of this language with two experts.

 

00:01:03 Introductions

00:01:49 Mike’s Ruby journey

00:12:28 Evan’s own Ruby experience

00:18:20 The pickaxe book

00:20:34 Weird programming interests

00:25:11 MINASWAN

00:30:33 Language conferences

00:36:38 Wrong answers on StackOverflow

00:41:53 RubyCentral

00:44:50 In-depth examination of Ruby

00:47:57 How Shopify sticks to vanilla Rails

00:50:28 A tale of two developers

00:59:59 Bringing Ruby up to Python’s level

01:04:48 Shopify’s largest app monolith

01:11:12 Tuning the knobs

01:18:01 How not to learn the hard way

01:18:57 Opportunities at Shopify

01:29:14 Working with the RubyShield program

01:32:07 Rails for API servers

01:33:21 Mike and Evan’s advice for listeners

01:36:00 Farewells

Resources mentioned in this episode:

Links:

• RubyCentral:
• Website: https://rubycentral.org/
• RubyShield: https://rubycentral.org/ruby-shield
• Twitter: https://twitter.com/rubycentralorg
• Shopify:
• Website: https://www.shopify.com/
• Careers: https://www.shopify.com/careers
• Dev Degree Program: https://devdegree.ca/pages/program
• HashiCorp
• Website: https://www.hashicorp.com/
• Careers: https://www.hashicorp.com/jobs
• Mike Dalessio:
• Website: http://mike.daless.io/
• Twitter: https://twitter.com/flavorjones
• Evan Phoenix:
• Website: https://github.com/evanphx
• Twitter: https://twitter.com/evanphx
• RubyConf 2022 (Nov. 29 – Dec. 1, 2022):
• Website: https://rubyconf.org/

Other Episodes:

• Episode 47: Ruby
• Show Link: https://www.programmingthrowdown.com/2015/10/episode-47-ruby.html

 

References:

• “The Pickaxe Book” aka Programming Ruby: The Pragmatic Programmer’s Guide 2^nd Edition:
• Amazon: https://www.amazon.com/Programming-Ruby-Pragmatic-Programmers-Second/dp/0974514055

 

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

 

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145: Unsupervised Machine Learning

Today we discuss adventures, books, tools, and art discoveries before diving into unsupervised machine learning in this duo episode!

00:00:22 Introductions

00:01:28 Email & inbox organization is very important

00:07:28 The Douglas-Peucker algorithm

00:11:48 Starter project selection

00:17:01 Tic-Tac-Toe 

00:21:41 Artemis 1

00:26:25 Space slingshots

00:29:47 Flex Seal tape

00:32:38 The Meditations

00:37:58 Flour, Water, Salt, Yeast

00:40:55 Pythagorea

00:46:13 Google Keep

00:48:05 Visual-IF

00:50:49 Data insights

01:03:07 Self-supervised learning

01:10:26 A practical example of clustering

01:15:10 Word embedding

01:24:02 Farewells

Want to learn more? Check out these previous episodes:

• Episode 27: Artificial Intelligence Theory

• https://www.programmingthrowdown.com/2013/05/episode-27-artificial-intelligence.html

• Episode 28: Applied Artificial Intelligence

• https://www.programmingthrowdown.com/2013/06/episode-28-applied-artificial.html

• Episode 109: Digital Marketing with Kevin Urrutia

• https://www.programmingthrowdown.com/2021/03/episode-109-digital-marketing-with.html

Resources mentioned in this episode:

News/Links:

• Simplify lines with the Douglas-Peucker Algorithm

• https://ilya.puchka.me/douglas-peucker-algorithm/ 

• How to pick a starter project

• https://amir.rachum.com/blog/2022/08/07/starter-project/

• Tic-Tac-Toe in a single call to printf()

• https://github.com/carlini/printf-tac-toe 

• Artemis 1

• https://www.nasa.gov/artemis-1/

• Visual-IF

• https://www.visual-if.com/

Book of the Show:

• Jason’s Choice: “The Meditations” by Marcus Aurelius

• https://amzn.to/3C3Kg7b

• Patrick’s Choice: “Flour, Water, Salt, Yeast” by Ken Forkish

• https://amzn.to/3CqFwKa

Tool of the Show:

• Jason’s Choice: Pythagorea

• Android: https://play.google.com/store/apps/details?id=com.hil_hk.pythagorea&hl=en&gl=US

• iOS: https://apps.apple.com/us/app/pythagorea/id994864779

• Patrick’s Choice: Google Keep

• https://keep.google.com/

References:

• Clustering: https://en.wikipedia.org/wiki/Cluster_analysis

• Autoencoding: https://en.wikipedia.org/wiki/Autoencoder

• Contrastive Learning: https://towardsdatascience.com/understanding-contrastive-learning-d5b19fd96607

• Matrix Factorization: https://en.wikipedia.org/wiki/Matrix_factorization_(recommender_systems)

• Stochastic factorization: https://link.medium.com/ytuaUAYBjtb

• Deep Learning: https://en.wikipedia.org/wiki/Deep_learning

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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144: Kotlin Coroutines with Marcin Moskala

Today we go back to our programming language roots with author, KT Academy founder, and Kotlin rockstar Marcin Moskala! We talk about how Kotlin makes itself doubly useful for app and backend development. 

00:00:55 Introductions

00:01:38 Java frustrations 

00:09:37 Why a well-organized typing system is important

00:11:59 What Kotlin is

00:14:58 Obsidian 

00:20:13 Learning new things can be a prudent future investment

00:23:46 A pleasant coding experience

00:26:41 Co-routines in Kotlin

00:34:37 Where co-routines are best in app development

00:44:54 Thread balancing in practice

00:57:39 Kotlin’s integrated cancellation mechanism

01:05:10 Getting started with Kotlin

01:18:16 Farewells

Resources mentioned in this episode:

Marcin Moskala:

• Website: https://marcinmoskala.com/

• Twitter: https://twitter.com/marcinmoskala

• KT Academy: https://kt.academy/

Kotlin Learning Resources

• Marcin on KT: https://kt.academy/user/marcinmoskala

• Kotlin Coroutines: https://leanpub.com/coroutines

• Effective Kotlin: https://leanpub.com/effectivekotlin

• Functional Kotlin (Early Access): https://leanpub.com/kotlin_functional

• More Kotlin Publications on Leanpub

Information Organization Tools

• WorkFlowy: https://workflowy.com/

• Obsidian: https://obsidian.md/

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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143: The Evolution of Search with Marcus Eagan

Finding something online might seem easy - but as Marcus Eagan tells it, it’s not easy to get it right. In today’s episode, MongoDB’s Staff Product Manager on Atlas Search speaks with Jason and Patrick about his own journey in software development and how to best use search engines to capture user intent.

 

00:00:34 Introductions

00:01:30 Marcus’s unusual origin story

00:05:10 Unsecured IoT devices

00:09:56 How security groupthink can compromise matters

00:12:48 The Target HVAC incident

00:17:32 Business challenges with home networks

00:21:51 Damerau-Levenshtein edit distance factor ≤ 2

00:23:58 How do people who do search talk about search

00:30:35 Inferring human intent before they intend it

00:46:13 Ben Horowitz

00:47:32 Seinfeld as an association exercise

00:52:27 What Marcus is doing at MongoDB

00:58:30 How MongoDB can help at any level

01:01:00 Working at MongoDB

01:08:14 Farewells

Resources mentioned in this episode:

 

Marcus Eagan:

• Website: https://marcussorealheis.medium.com
• The Future of Search Is Semantic & Lexical: https://marcussorealheis.medium.com/the-future-of-search-is-semantic-and-lexical-e55cc9973b63
• 13 Hard Things I Do To Be A Dope Product Manager: https://marcussorealheis.medium.com/13-hard-things-i-do-to-be-a-dope-database-product-manager-7064768505f8
• Github: https://github.com/MarcusSorealheis
• Twitter: https://twitter.com/marcusforpeace

MongoDB:

• Website: https://www.mongodb.com/
• Atlas: https://www.mongodb.com/cloud/atlas/register
• Careers: https://www.mongodb.com/careers

Others:

• Damerau-Levenshtein distance: https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance
• Lucene: https://lucene.apache.org/core/
• Target HVAC Incident (2014, Archive Link): https://archive.is/Wnwob 

Mergify:

• Website: https://mergify.com/

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

 

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142: Data Ops with Douwe Maan

Douwe Maan’s journey sounds too fantastic to be true, yet the tale that Meltano’s founder shares with Jason and Patrick today is very, very real. Whether it’s about doing software development by 11, joining Gitlab while juggling college responsibilities, or building his own company during today’s challenging times, he has quite the story to tell. In today’s episode, he speaks on Twitter, his perspective on remote work, and why data operations are a critical part of developer stacks in today’s world.

00:01:00 Introductions

00:03:44 Hustling online at 11

00:08:08 From iOS to web-based development

00:10:20 How Douwe balanced school and work

00:12:05 Sid Sijbrandij

00:19:13 Why Twitter was integral in Douwe’s journey

00:21:01 What Meltano offers for data teams

00:22:01 Remote work

00:30:59 Gitlab’s data team and what they do

00:44:40 What tools do data engineers use

00:47:40 Singer

00:50:26 Game designer travails

00:58:59 Where data operations come in

01:05:12 Getting started with Meltano

01:12:00 Meltano as a company

01:22:09 Farewells

Resources mentioned in this episode:

Douwe Maan:

• Website: https://douwe.me/

• Twitter: https://twitter.com/douwem

• GitLab: https://github.com/DouweM

Meltano:

• Website: https://meltano.com/

• Careers: https://boards.greenhouse.io/meltano

Singer:

• Website: https://www.singer.io/

Mergify:

• Website: https://mergify.com/

If you’ve enjoyed this episode, you can listen to more on Programming Throwdown’s website: https://www.programmingthrowdown.com/

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