?? Will the Moon Have a Cave Colony?

?? Will the Moon Have a Cave Colony?

Catch up on the current tech tidbits:

?? Potential lunar cave identified as a stable base for future moon colonies.

?? Lesson of the Week: Packaging Python web applications.

?? OpenAI's secret "Strawberry" project aims to enhance AI reasoning, enabling autonomous web navigation and deep research.

?? Weekly Tech Tip: Borrow e-books for free.

?? What’s New: Revamped leaderboard and achievements tab, LTI integration, and time zone customization.

?? Book of the Week: “Designing Data-Intensive Applications” by Martin Kleppmann.


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Astronomers Find Potential Moon Colony Site

Moon cave opening and analysis diagram.

Italian astronomers have identified a potential lunar cave using data from the Lunar Reconnaissance Orbiter, suggesting it could serve as a stable base for future lunar colonies.

The discovery, detailed in Nature Astronomy, underscores the advantages of lunar caves in providing protection from radiation, meteorites, and temperature extremes.

This finding is expected to spur significant interest and investment from startups, governments, and space companies aiming to establish long-term lunar habitats.

Read More.

Lesson of the Week

This lesson of the week features a guide on how to efficiently package and deploy your Python web applications.


Question of the Week:

Mary emails you with a question: “Hey, I just came across this line of code. Could you explain to me what output this command produces?”

pip freeze > requirements.txt

Select one:

A) This command lists all the contributors who worked on the project and writes them into a text file that named?requirements.txt.

B) This command lists all the Python dependencies of the project and writes them into a text file named?requirements.txt.

C) This command lists all the hardware requirements of the project and writes them into a text file named?requirements.txt.


See if you’re right–the answer is at the bottom!

Lesson Here.

One Step Closer to AGI?

OpenAI logo in front of a keyboard.

OpenAI is developing a groundbreaking AI model codenamed "Strawberry," designed to significantly enhance the reasoning capabilities of artificial intelligence.

This ambitious project aims to create an AI that can autonomously navigate the internet and conduct deep research, tackling tasks that have long challenged existing models.

Strawberry represents a major step towards bridging the gap between current AI capabilities and Artificial General Intelligence (AGI), potentially revolutionizing how AI systems plan, reason, and execute complex tasks.

While still in development, this innovative project could transform various fields by dramatically improving AI's efficiency and accuracy in handling sophisticated cognitive challenges.

Read More.

Weekly Tech Tip

Borrow E-books for Free

Instead of buying e-books, borrow them!

With a library card and free apps like Libby or OverDrive, access your library's digital collection on your device. Books return automatically on the due date, avoiding late fees.

OverDrive works on Android, Apple, Amazon devices, and Kobo e-readers.

Kindle users with Amazon Prime can access Prime Reading for free book rentals.


What’s New

Leaderboard section highlighted from dropdown main menu.

We've revamped our leaderboard! Learners can now view their leaderboard status in the top right, earn crowns, and more.

We also offer LTI integration with platforms like Canvas and the ability to customize your time zone.

Full Update.

Book of the Week

"Designing Data-Intensive Applications" by Martin Kleppmann.

"Designing Data-Intensive Applications" by Martin Kleppmann serves as a mini-encyclopedia for modern data engineering, providing an in-depth look at the principles and challenges of distributed big data systems.

It covers fundamental concepts, data models, database building blocks, data encoding, and the complexities of distributed systems, making it a valuable reference for understanding and working with various data processing technologies.


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Lesson of the Week Answer:

B) This command lists all the Python dependencies of the project and writes them into a text file named requirements.txt.

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