Issue #46 - More tools to manipulate your time series data
💊 Pill of the week
Last week we introduced the importance of correctly handling dates when working with time series data. In Python, there are multiple use cases and tools that must be known. This article is a continuation of the previous one, and we will explore more advanced techniques and tools to manipulate dates and datetime-related features.
Read it here:
You can play with the notebook we share at the end of this issue, specially created to illustrate the concepts of this article!
Check the previous article here:
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🤖 Tech Round-Up
No time to check the news this week?
This week's TechRoundUp comes full of AI news. From Google’s brand new model to collaboration between humans and AI, the future is zooming towards us! 🚀
Let's dive into the latest Tech highlights you probably shouldn’t this week 💥
1️⃣ 𝗚𝗼𝗼𝗴𝗹𝗲'𝘀 𝗚𝗲𝗺𝗶𝗻𝗶
Google unveils the Gemini app, promising a new era where AI assists with writing, planning, and creativity.
It's a game-changer aiming to make info universally accessible.
Google's Gemini stores conversations for years by default.
While it offers unparalleled convenience, it raises questions about privacy and data use.
Injecting design into AI, Microsoft introduces design-centric features to CoPilot, blending creativity with AI's precision.
A step towards more intuitive, visually appealing digital spaces.
4️⃣ 𝗠𝗲𝘁𝗮'𝘀 𝗔𝗜 𝗟𝗮𝗯𝗲𝗹𝘀
Meta embarks on AI-generated image labeling, enhancing accessibility and context in digital content.
A move towards more informative, inclusive online experiences.
5️⃣ 𝗔𝗜 & 𝗛𝘂𝗺𝗮𝗻𝘀
Perfect Teammates?
The dynamic duo of human-AI teams could revolutionize workplaces, promising efficiency and innovation.
It's time to embrace this hybrid future.
🪐Get the code!
Here you have the code to play with your data:
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