Hacker News Recap cover image

Hacker News Recap

February 6th, 2024 | "Fake Chinese income" mortgages fuel Toronto real estate bubble: HSBC bank leaks

Feb 7, 2024
SQL for data scientists, Fake Chinese income mortgages in Toronto real estate bubble, AI vs. human lawyers, Outdated jQuery, Sea Temperature Records, DNS solutions vs Smart Toothbrush DDoS Attack
25:13

Podcast summary created with Snipd AI

Quick takeaways

  • The podcast provides an extensive tutorial on SQL for data scientists, covering query structure, database management, JSON data handling, joins, window functions, subqueries, and Python integration.
  • The podcast uncovers mortgage fraud in Toronto's real estate market, with HSBC and possibly other banks issuing loans based on exaggerated or falsified Chinese incomes, contributing to inflated housing prices.

Deep dives

Tutorial on SQL for Data Scientists

This podcast episode features an expansive tutorial on SQL for data scientists. The tutorial covers a wide range of topics, including SQL query structure, database management with SQLite, handling JSON data, different types of joins, window functions, subqueries, and integrating database interactions with Python. The material provides both theoretical concepts and practical exercises, making it a valuable resource for educators. The comments section discusses the evolving definition and expectations of data scientists, including concerns about job dilution and varying skill sets.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode