DuckDB: Hi-performance SQL queries on pandas dataframes
A hands-on tutorial to executing SQL queries against pandas dataframe and external csv files! 🤯
youtu.be/6iyuMJeGhZk
A 10-min tour of Dall-E 2 (using our first 50 free credits)
if anyone wanna give it a try, drop your prompt and I'll run it for you - still have some credits left!
#dalle2 #dalleyoutu.be/L_3jS8GAA3c
Finally got around to making the widely requested Data Visualization in Python: Altair 4.2 (altair-viz) course. 7-10 videos in total!
youtu.be/umTwkgQoo_E
As promised, a thread of amazing folks working in Open Source. Like most people in FOSS they probably don't get the recognition they deserve.
If you like #Python and programming, I suggest you following everyone in this tread.
Doubles as #FF
Please RT for visibility.
🧵
Surely somebody knows a @code extension that generates awesome comments? Imagine taking a Django models.py and generates a simplified ER? 🤯 like a “prettier” or Python’s black formatted but for comments
reddit.com/r/ProgrammerHu…
Adding code blocks in Twitter will reduce the usage of carbon (webapp that makes those fancy code snippet w/ soft bgcolor png for tech influencers) by 50%.
Too many unnecessary pngs. Less memory. Less bandwidth. 🌲Green. 🌍. Copy/Paste-able.
Adding code blocks in Twitter will reduce the usage of carbon (webapp that makes those fancy code snippet w/ soft bgcolor png for tech influencers) by 50%.
Too many unnecessary pngs. Less memory. Less bandwidth. 🌲Green. 🌍. Copy/Paste-able.
Create awesome-looking art using `math`, `random` and samila in Python!
A simple generative art, step-by-step tutorial to make your awesome art collection (nft?).
50 original art in less than 5 minutes!
youtu.be/SyUBti7uMFk
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✧ 🖥️ Focused on web screens only
—
Also check @designswipefile
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Curated by @usrnk1 📀
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357K Followers 2K Following👨⚕️ Doctor-turned-Entrepreneur + Productivity Expert + YouTuber (6M+ Subs) ✍️ I share evidence-based strategies and tools to help you build a life you love 🚀
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2K Followers 104 Following#HoloViz is a set of #OpenSource tools that make data visualization in Python easier to use, easier to learn, and more powerful. Supported by @AnacondaInc.
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