Urgent.News

What's breaking now, across thousands of outlets.

Tech

Our favourite space-saving air fryer just hit an all-time low price — the Ninja DoubleStack XXXL is just AU$179 in this Prime Day deal

We named the Ninja DoubleStack XXXL the best overall air fryer in Australia for its clever design and uncompromised performance, and it can be yours for a whopping 64% off.

Our favourite space-saving air fryer just hit an all-time low price — the Ninja DoubleStack XXXL is just AU$179 in this Prime Day deal

The Ninja DoubleStack XXL air fryer, known for its space-saving design and impressive performance, has dropped to its all-time low price of AU$179 during Amazon Prime Big Deal Days. This deal is a steal, as it surpasses its previous all-time low price of AU$189.95 during Prime Day in July. The air fryer's unique stacked drawer design allows it to occupy the same space as a single-drawer air fryer, making it perfect for those with limited counter space.

Each drawer is relatively small, measuring at 4.75L, but it can easily feed 2-3 people. TechRadar's Josephine Watson praised the Ninja DoubleStack for delivering perfectly crispy chicken wings and fluffy fries without the need for oil. The extra stainless steel racks included with the air fryer provide additional cooking surface area.

However, some larger food items might not fit, and the price is still relatively high. Nonetheless, this discount makes the Ninja DoubleStack XXL a highly tempting purchase for those in the market for an air fryer.

Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at techradar.com →

More in Tech

MLH Hack At Home 2020: Hearth

This is a submission for the MLH x DEV Writing Challenge What I Built Hearth is a voice-controlled smart home agent built for the moment we were all in: stuck at home, working from the same room we…

  • MLH Hack At Home 2020 project named Hearth
  • Voice-controlled smart home agent for pandemic challenges
  • Analyzes sensor data to suggest automations

Building an ETL Pipeline with Python, Docker, and PostgreSQL (And Debugging the Real Errors)

Most ETL tutorials show a perfect, frictionless flow. The reality? My pipeline turned into a festival of KeyError's , outdated schemas, and API payload typos.

  • Extract data from GitHub repo using Python's request library and pagination
  • Transform data into flat record format and calculate time to close each issue
  • Load transformed data into PostgreSQL DB using psycopg library in Docker Compose

More from Tuesday 29 September →