Full Stack Pancake

Joined August 2021
138 Photos and videos
Danny 🌊  retweeted
12 Oct 2021
I'm currently using the following @code extensions (fundamentally, Python development): 1. Python 2. GitHub Copilot 3. Docker 4. Jupyter 5. Prettier 6. YAML 7. OpenAPI Swagger 8. Bookmarks 9. AWS Toolkit 10. Cloud Code Is there something else that you'd recommend?
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What’s up ✌️ if you’re interested in… 🐍Python 🤖Machine learning 📊Data Science 🤣Having a laugh Follow me. I'm planning on using Twitter to share a lot of content that you won't want to miss…
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Danny 🌊  retweeted
MLOps Tip: Feature Selection impacts MLOps More features may produce a more accurate ML Model and even achieve more fairness when splitting into more precise groups and compensate for some other useful missing information However, this can have a significant impact on MLOps 👇
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Danny 🌊  retweeted
Keras tip: if you're training models in unreliable environments like spot instances (or for long stretches of time), make sure to use the BackupAndRestore callback to be able to resume training where you left off, in just a couple of lines of configuration tensorflow.org/api_docs/pyth…

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You know a lot of shit that helps other people…
Danny 🌊  retweeted
In a #TwitterSpaces with @svpino summarizing his writing approach: • Consistency - make time to write every day • Simple capture habit - Bear for Santiago • Content calendar - write in advance (2wk), park it, review later • Re-write on posting day - focus on the first tweet
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Danny 🌊  retweeted
1 Oct 2021
Hanging out here… x.com/i/spaces/1ZkKzbMkPdwKv

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Danny 🌊  retweeted
Do you know the Python🐍 unpack assignments using a starred expression? It's also called the catch-all unpacking In some cases, it's better than using slicing and indexing because it's easier to read and maintain. have you used this before?
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Danny 🌊  retweeted
Python 3.10 will be released in 3 days.🐍 So I wrote an article about all the new features in the new version.📒 It's only a short read to bring you up to date with all important changes. patloeber.com/new-features-i…
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Danny 🌊  retweeted
1 Oct 2021
A team led by MIT examined 10 of the most-cited datasets used to test machine learning systems. They found that around 3.4% of the data was inaccurate or mislabeled. Those are very popular datasets. How about yours? ↓
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Danny 🌊  retweeted
Explore digital twins and their potential to combine noisy empirical data with physics in this accessible explainer from Michael Berk. buff.ly/3CQHukl

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Web3 = decentralised Web2 Basically - anything you currently use on the internet decentralised 🕸

ALT Spider Man Someone Explain Now GIF

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What’s up Twitter ✌️ If you're interested in: 🐼 pandas 🐍 Python Follow me! I know next to nothing about the animals… I do know a thing or two about machine learning… and can maybe explain why this goofy engagement strategy could work! Let’s find out… 🤔
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Danny 🌊  retweeted
MLOps: Different Algorithms present different challenges. In this thread, I'll discuss some of the most common algorithms and the challenges they pose to MLOps, and with that, getting Machine Learning into production.
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Danny 🌊  retweeted
WTF is Web 3.0? A thread🧵
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Danny 🌊  retweeted
If you code in Python🐍 for more than an hour, you probably have seen the keyword lambda In essence lambda enables us to create an anonymous function or function without a name When and why should you use it? [1 (⚡️) min] 1/5🧵
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Danny 🌊  retweeted
28 Sep 2021
🎙️ Testing, testing…is this thing on? Don't miss our first @TwitterSpaces on Sept. 29 at 3:30pm ET (19:30 UT)! Join our Chief Scientist Jim Green and @NASAWebb Space Telescope experts for a "Webb 101" and Q&A. ⬇️ Tap the reminder to get notified: x.com/i/spaces/1OwGWzarWnNKQ
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My laptop told me it doesn’t recognise the battery anymore. I’ve no idea what went down while I was away 🤣🤣🤣