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1668245137388978176 | I've deleted Docker Desktop from my machine.
Because there's something that is 100x better called OrbStack 🔮
It's a drop in replacement which runs faster and eliminates the "memory & cpu hog" features of Docker Desktop.
Download it at https://t.co/sUGXfFvC8p https://t.co/Hqiji6QVT0 | https://twitter.com/i/web/status/1668245137388978176 | [
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1668432878777274368 | Precision in motion. Pushing boundaries with every turn, the speed and agility drill unveils the true finesse of athletic prowess! https://t.co/BenQFCG3Fv | https://twitter.com/i/web/status/1668432878777274368 | [
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] |
1668344449116561442 | Data team at @BBCNews developed an #rstats package and an R cookbook to make the process of creating publication-ready graphics in-house style using R’s #ggplot2 library
https://t.co/YoFAl6JSVm #dataviz #datajournalism #ddj https://t.co/glsgFzTLTE | https://twitter.com/i/web/status/1668344449116561442 | [
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1668038607997747201 | Mobility is a perfect example of use it or lose it and it’s one hell of a wake up call when you discover that it’s slipping. Be deliberate about reinforcing it. #mobility #fitnessover60 #afriendlynudge #abalancedyou #doable #exercisesnacks https://t.co/Drpn6MNZFp | https://twitter.com/i/web/status/1668038607997747201 | [
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1667931619900964864 | I had no idea Italians held such strong views on open source licensing https://t.co/IgiuTUloZs | https://twitter.com/i/web/status/1667931619900964864 | [
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1667628478533861383 | Excited to share a Colab notebook that fires up the Falcon-40-B-Instruct by @TIIuae on @runpod_io , utilizing @huggingface's text-generation-inference.
It's then linked with @LangChainAI
Costs are less than $4/hr running and 5¢/hr stopped.
~25 tokens/s.
https://t.co/sYWgjicCMc | https://twitter.com/i/web/status/1667628478533861383 | [
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1667502838652477440 | MICROSOFT FREE Online Courses:
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Microsoft Data Science for Beginners: https://t.co/5Y3WZwEDxW | https://twitter.com/i/web/status/1667502838652477440 | [
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1667654994399490053 | I don’t know if the correct name for this is goal post or doorway stretch but it’s one I’ll try if my shoulders or chest are feeling tight. I lean in and feel the stretch for 10-12 seconds and then relax and repeat that cycle 2 or 3 times. https://t.co/05uNc5eOIU | https://twitter.com/i/web/status/1667654994399490053 | [
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1667493809738100736 | Microsoft Azure Data Scientist Associate (DP-100) #DataScience https://t.co/fgjg37dK0u | https://twitter.com/i/web/status/1667493809738100736 | [
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1667071928836972547 | Microsoft Fabric Series - 12 Videos so far. What is Microsoft Fabric and How it Works. Keep on posting your questions, new video topics in comments
https://t.co/HjhXr2QCy3
#microsoftfabric #dataPipeline #powerbi #Warehouse #Dataflow #DataflowGen2 #DataFactory #OneLake #Intergated https://t.co/JGvOcktYAw | https://twitter.com/i/web/status/1667071928836972547 | [
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1667190822159220738 | In a new tutorial, Simon Aubury presents an end-to-end workflow for processing, analyzing, and visualizing Fitbit data with DuckDB. https://t.co/gZTPIuWk44 | https://twitter.com/i/web/status/1667190822159220738 | [
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] |
1666826203360010244 | I always get it wrong.
Every time I want to convert dict into Panda's DataFrame I go with:
`pd.DataFrame(data)`
This works most of the time but the problem with dictionaries is that it sets KEYS as columns which is what I rarely want.
The solution is to use a proper method… https://t.co/vbVZX91b4Z | https://twitter.com/i/web/status/1666826203360010244 | [
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1667158010123243520 | You can now annotate your @matplotlib figures on a @tldraw whiteboard in Jupyter 🌟 Latest release highlight: Update the plot while preserving the overlay. JupyterLite demo here 📒 https://t.co/vX1iYEalty https://t.co/OQlDNmqoxN | https://twitter.com/i/web/status/1667158010123243520 | [
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] |
1667172643714334724 | Here’s my general recommendation for using LightGBM vs. XGBoost vs. CatBoost.
Use:
• XGBoost when you have a GPU
• LightGBM when you’re only using a CPU
• CatBoost with a lot of categorical features
There’s a lot of wiggle room in there, though.
The best part: they all… | https://twitter.com/i/web/status/1667172643714334724 | [
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1666874538074812417 | Cool, @duckdb adds spatial extension.
https://t.co/9xnyGXgRs4 | https://twitter.com/i/web/status/1666874538074812417 | [
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1667152199128850432 | Building a Flask API with APIFairy
https://t.co/dqCWbcnMDW
Step-by-step tutorial on how to easily build an API in Python with Flask and APIFairy! 💪🐍✨
by @patkennedy79
#Flask #Python #WebDev | https://twitter.com/i/web/status/1667152199128850432 | [
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1667089758806212611 | Looks like duckdb is now pre-installed on Google Colaboratory https://t.co/tVabmQT6kS | https://twitter.com/i/web/status/1667089758806212611 | [
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1666852734501527554 | Show HN: https://t.co/rygf78LCD6 – Private, Text to Entity-Relationship Diagram Tool https://t.co/JWg4KHb7ck | https://twitter.com/i/web/status/1666852734501527554 | [
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1666828741249728513 | Python is a popular programming language that has gained significant traction in the fields of probability, statistics, and machine learning. https://t.co/fHLWRYunFw
#DataScience #Python #DataScientists #MachineLearning #probability #statistics #DataVisualization https://t.co/4Rpr2rWgj6 | https://twitter.com/i/web/status/1666828741249728513 | [
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] |
1666929325906558979 | A good decision-maker:
- recognizes the importance of gathering data before rushing to conclusions
- is calm under pressure
- is willing to experiment and learn from mistakes
- isn't afraid to take risks
- is mindful of the consequences of their decisions | https://twitter.com/i/web/status/1666929325906558979 | [
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] |
1666918868496052229 | Want to create complex visual reports in @matplotlib but don't know how to get started?
Check out my most recent blog post, covering a live-coded session I held last week, where I discuss my approach to creating reports with many metrics and charts!
https://t.co/DADbSwqhq5 https://t.co/QZ32PMRicS | https://twitter.com/i/web/status/1666918868496052229 | [
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] |
1666792862149746688 | Great news: Five Python 🐍 books 📚 from @ManningBooks are today's "Deal of the day" 💰:
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More info: https://t.co/jVnYWouPV2 | https://twitter.com/i/web/status/1666792862149746688 | [
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1666463335599026177 | Inspect. Your. Datasets.
It's now possible to query the 40,000 datasets available on 🤗@huggingface in #SQL with @duckdb !
Select, aggregate, count and visualize samples in just a few lines. Find out how to do it here
👉 https://t.co/JOCteeCphi https://t.co/gjNaWaQn8j | https://twitter.com/i/web/status/1666463335599026177 | [
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1666461895258259461 | ⚡️ Database Tip
There are alternative ways of storing trees in a database without a parent_id relationship or the complex nested set concept. You can store the materialized path for every row for easier tree management!
https://t.co/YsBIwv7KeT https://t.co/PAuqrTK2W9 | https://twitter.com/i/web/status/1666461895258259461 | [
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1666543405864996865 | Thing I’d love for you to check out: I built a DuckDB extension that lets you run SQL on the result of a Python function:
https://t.co/ZzjtTt2pYW
If you’ve ever wanted to run:
> SELECT * FROM hit_the_rest_api()
This will be up your alley. Some more details 👇 | https://twitter.com/i/web/status/1666543405864996865 | [
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1666626926063284225 | This post about Mojo and "programming in the large/small" is interesting: https://t.co/22T9qxCuH7 But I think realistically the "component language" is C or Fortran (https://t.co/DBXYXudJx2 and https://t.co/LV6yUuoZH7) We only have room to innovate in the "connection language". | https://twitter.com/i/web/status/1666626926063284225 | [
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1666468648146587648 | 🧑💻AlphaDev discovered faster sorting algorithms that are now in the C++ standard sorting library. It is the first change to these subroutines in over a decade!
Can this approach generalize to other functions? ⬇️ https://t.co/apIsK3xmT6 https://t.co/XnYtucPpg5 | https://twitter.com/i/web/status/1666468648146587648 | [
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1666488906102214656 | UX design for software libraries is hard, but there are best practices you can follow. E.g. https://t.co/4T93FoMtXk | https://twitter.com/i/web/status/1666488906102214656 | [
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] |
1666213931520589824 | At this point, many of these models can overlap in terms of quality. The differences will range in inference performance, and underlying training with some architecture differences
Best model for production NLP tasks? Flan-t5 is hard to beat / justify cost of larger models still | https://twitter.com/i/web/status/1666213931520589824 | [
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] |
1666491278606110720 | Great thread on zorder in matplotlib!
Additionally, if you’re curious what the default zorders are for various Artists, you can check out the @matplotlib docs page here: https://t.co/sUMu3ng9q0 https://t.co/m3WhWT9KeO | https://twitter.com/i/web/status/1666491278606110720 | [
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1666461010549678080 | Latest episode of @pythonbytes is out: #339: Actual Technical People
https://t.co/8tH4ZBSJSu | https://twitter.com/i/web/status/1666461010549678080 | [
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1666447768582332418 | Interesting open source project called Daft that can do distributed processing on complex data represented as Pandas-like data frames: https://t.co/8OxLTNC0ol | https://twitter.com/i/web/status/1666447768582332418 | [
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] |
1666460104747626498 | An interview I did with @somacdivad on why I write Pandas code in a particular style. https://t.co/qm0sfO87wc https://t.co/7ECsSPnhD4 | https://twitter.com/i/web/status/1666460104747626498 | [
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1666399459142508545 | ...the bars, but also the subtitle, annotation, and legend. This ties everything together and minimizes possible confusion.
🎯 So the next time you are creating a data visual, use your colors with intention, not just to make your chart look pretty!
(3/3)
#informationdesign https://t.co/eQvE3VLcdy | https://twitter.com/i/web/status/1666399459142508545 | [
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] |
1666325467396468736 | Git merge vs. Git rebase. The forever debate.
What are the differences?
When we merge changes from one Git branch to another, we can use ‘git merge’ or ‘git rebase’. The diagram below shows how the two commands work.
Git merge
This creates a new commit G’ in the main branch.… https://t.co/Q1Cuz0HqUf | https://twitter.com/i/web/status/1666325467396468736 | [
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1666264574319026181 | If you haven't tried it yet, PiML or #Python Interpretable Machine Learning is an open-access Python toolbox built for interpretable #ML model development and model diagnostics - https://t.co/FgPZo6rCSO https://t.co/Ah9FfCbWtR | https://twitter.com/i/web/status/1666264574319026181 | [
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1666165651579305992 | Mojo, a Superset of Python #python https://t.co/5vHxiDoPFU | https://twitter.com/i/web/status/1666165651579305992 | [
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1666221486909296641 | A mark of maturity is surrendering to the person you actually are instead of the one you wish you were.
Most people never get such clarity, and they’re stunted for life.
The decision to surrender to your gifts is more painful than you’d think. You can’t really choose what… https://t.co/f8rLmmV083 | https://twitter.com/i/web/status/1666221486909296641 | [
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] |
1666054333371150338 | Building a Single Page Application with Python and Pyodide - Part 1
https://t.co/jyhxXM4Nr2
Create an application that fetches data from a remote file, manipulates the data with Pandas, and renders it in the browser.
by @amirtds
#Python @Pyodide #Pandas | https://twitter.com/i/web/status/1666054333371150338 | [
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1666127888679321602 | Apple added #DX12 support to macOS and Apple Silicon via its Game Porting Toolkit. It’s basically a 20k patch to Wine that will make it easy to play AAA Windows games on macOS without using a VM. https://t.co/OFwc0NREb6 | https://twitter.com/i/web/status/1666127888679321602 | [
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] |
1666182244107689985 | Very simple, minimal implementations for LLM inference at the edge with a lot of momentum, and a number of developing extensions across GPU support, quantization++, training/finetuning, etc.
👏 looking forward!
+"Inference at the edge" manifesto good read:… https://t.co/nKMaR6QOwu https://t.co/ff25AQ3JlF | https://twitter.com/i/web/status/1666182244107689985 | [
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] |
1666084577495105537 | Finally Jax+Metal!
It seems that the opening and modularisation of XLA is starting to pay off... https://t.co/zVYNlJxspC
Let's hope Apple open sources it.. | https://twitter.com/i/web/status/1666084577495105537 | [
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1666044563285311489 | If you're looking for small, manageable datasets to practice your #dataviz skills or learn a new tool, here are some of my favorite resources: https://t.co/GKBQeSrU21 https://t.co/GC7qOMKzQ3 | https://twitter.com/i/web/status/1666044563285311489 | [
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1665767990925709314 | It takes 10 lines of code to talk to a PDF using AI with @LangChainAI
Here's the breakdown: https://t.co/AHBnpLHw7E | https://twitter.com/i/web/status/1665767990925709314 | [
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1597602179430612994 | I am not joking https://t.co/tDDwk2VYRS | https://twitter.com/i/web/status/1597602179430612994 | [
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] |
1665689931513995264 | I use 🎲 and gganimate to help students "feel" the riskiness of under-powered tests.
https://t.co/Qvredn4tPr | https://twitter.com/i/web/status/1665689931513995264 | [
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1665699248866750464 | 📚New arrival📚 Looking forward to diving into the new book “Causal Inference and Discovery in Python” by @AleksanderMolak. It even includes some coverage of CausalPy https://t.co/3G7L39e9Sx https://t.co/VQG9aecrUm | https://twitter.com/i/web/status/1665699248866750464 | [
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1665445529944219649 | Excited to share a simple Google Colab notebook that connects Falcon-7B-Instruct by @TIIuae with @LangChainAI! You can run it even on a free plan!
https://t.co/Zsl54fDJQn | https://twitter.com/i/web/status/1665445529944219649 | [
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] |
1665677252707725313 | Thanks to 🤗🤗 @huggingface pipeline, it's super-easy to use FALCON with @LangChainAI 🦜⛓️
This tutorial guides the same - https://t.co/IIP4Qj2U0q
You don't have to reply or comment to get the code 😆
Colab -
https://t.co/w8vYO7gHrM https://t.co/YJSihWvKFq | https://twitter.com/i/web/status/1665677252707725313 | [
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1665554055488323585 | Python's Missing Batteries: Essential Libraries You're Missing Out On #python https://t.co/qEGoYqVtCw | https://twitter.com/i/web/status/1665554055488323585 | [
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] |
1665576220573016065 | 🆓 recommended open access PDF book on
"Algorithms" by Jeff Erickson
with many nice figures and exercises!
👉 https://t.co/fVIdxoYkRr https://t.co/79WmxfxWtT | https://twitter.com/i/web/status/1665576220573016065 | [
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] |
1665335120595922950 | Google has created a Generative AI learning path with 9 FREE courses!
Topics cover:
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- Image Generation/Captioning
- Intro to Responsible AI
From the fundamentals of LLMs to creating & deploying generative AI solutions! 🚀
Read more 🧵👇 https://t.co/ulU6DkfUqf | https://twitter.com/i/web/status/1665335120595922950 | [
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1665402499245961216 | Google just dropped a 100% free learning path on Generative AI with 9 Courses 👇
Intro to Gen AI
Intro to LLMs
Intro to Responsible AI
Intro to Image Generation
Encoder-Decoder
Attention Mechanism
Transformers and BERT
Image Captioning
Gen AI Studio
https://t.co/cyojw6P4Tm | https://twitter.com/i/web/status/1665402499245961216 | [
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1665042618399465473 | Op #WorldBicycleDay lanceren we met @GroenLeuven het voorstel voor een fietsbrug over de Geldenaaksebaan. De brug zou de Tivolistraat verbinden met Ter Spicht en op een zeer drukke fietsas zowel een steile helling als de kruising met de Geldenaaksebaan wegnemen. #toekomstplannen https://t.co/YxbBzB7f3Z | https://twitter.com/i/web/status/1665042618399465473 | [
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] |
1665348630771908610 | This is a follow-up post to my previous post on learning JAX. The previous post simply introduces JAX and isn't ML-specific. This follow-up takes what we've learned and builds full ML training loops!
https://t.co/TtJnUoDJr5 | https://twitter.com/i/web/status/1665348630771908610 | [
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] |
1665348628641185792 | Wrote (another) lengthy blog post covering how to develop #AI training loops in JAX, with the help of Flax and Optax!
If you have some #ML experience and are interested in learning JAX, Flax and Optax, this is a good place to start! 🤗
https://t.co/axzMdkkbCw | https://twitter.com/i/web/status/1665348628641185792 | [
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1664645619628081155 | Harvard Library have a free 95-slide masterclass by a visualisation specialist, going through best practice for creating visual diagrams, graphs and other images for your data.
Access the presentation here: https://t.co/fo6XGUEim2 | https://twitter.com/i/web/status/1664645619628081155 | [
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] |
1664929823301443586 | Here are the slides for my @PyDataLondon keynote on LLMs from prototype to production ✨
Including:
◾ visions for NLP in the age of LLMS
◾ a case for LLM pragmatism
◾ solutions for structured data
◾ @spacy_io LLM + https://t.co/j3J6mQ9xJf
https://t.co/yWO4koiEi8 https://t.co/6cGGlQljAl | https://twitter.com/i/web/status/1664929823301443586 | [
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1664736790463520768 | What is the best way to make decisions? Hierarchy or consensus? Time to stop the false dichotomy. At GitLab, we have the benefits and avoid the drawbacks of both: https://t.co/KNYX17yTtE 🤯 | https://twitter.com/i/web/status/1664736790463520768 | [
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1664754424747622406 | Good decisions come from thoughtful considerations.
Great decisions come from anticipating the consequences. | https://twitter.com/i/web/status/1664754424747622406 | [
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1664822213751570434 | "I recently came across a dataset containing registered accidents involving a bicycle, and as a data scientist who enjoys an occasional ride around my city this seemed like a good opportunity to have fun with the data."
Read more from Antonio Ramos' post. https://t.co/BIIIeB5KT0 | https://twitter.com/i/web/status/1664822213751570434 | [
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1664654295248039939 | LOVE this cheeky out-of-home (OOH) campaign from Impact 👏 https://t.co/6zIZ9PJcYA | https://twitter.com/i/web/status/1664654295248039939 | [
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1664729353060491265 | 🔍📊 Explore the FDIC Bank Fail dataset with @__mharrison__ using #pandas resample, groupby, and rolling. All powered by Ponder running on @SnowflakeDB!
https://t.co/lWyErNH7xx
#python #pandas #finance #datascience | https://twitter.com/i/web/status/1664729353060491265 | [
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1664742441927290880 | This one feels wonderful! First time I saw Scott Bailey with TWSTRAINING I was a fan. It’s basically a figure 4 stretch on steroids. My glutes and piriformis haven’t been this happy in a while. https://t.co/2v9Bqv8Kte | https://twitter.com/i/web/status/1664742441927290880 | [
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] |
1518972316054663168 | I got into #DataScience to help improve decisions w/ data and #ML is one tool to do so. But it can have several fatal assumptions:
1) the data generation process can be trusted
2) ML engineer's choices have no impact on #bias
3) if accuracy is high, we can trust predictions 🧵 https://t.co/pNspiesbvk | https://twitter.com/i/web/status/1518972316054663168 | [
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] |
1664368229232328709 | Oooh! FALCON-7B fits perfectly on a Free Colab instance!
Full Code & Tutorial - https://t.co/AJMYBVqMH5
This poem on @elonmusk was pretty dark tbh! https://t.co/RBj6taM9KK | https://twitter.com/i/web/status/1664368229232328709 | [
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1664226240730103808 | Google has a Generative AI learning path with 7 courses.
You can find it here: https://t.co/MzhEr05Dl3 https://t.co/1EPhFngw5D | https://twitter.com/i/web/status/1664226240730103808 | [
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1664392520346873857 | There’s a common misconception that generative AI is going to replace us.
But it's not replacing us – it's simply a tool that enhances human creativity, amplifying what we can do. | https://twitter.com/i/web/status/1664392520346873857 | [
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1663919629692030978 | Python is a popular programming language for data visualization, thanks to its versatility and numerous libraries available for data visualization. https://t.co/MUXIPT0QPl
#DataScience #Python #DataVisualization #DataAnalytics #coding https://t.co/rhaKXq282R | https://twitter.com/i/web/status/1663919629692030978 | [
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1663945331875119124 | Office Back Stretching 💻 Share With Your Colleagues... https://t.co/xtiX47DqJG | https://twitter.com/i/web/status/1663945331875119124 | [
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1664020005061574657 | It’s easy to convince ourselves that something is impossible based on where we are today. I get it. I think we’re better served by seeing just how strong and resilient we can become. Frequently we’ll amaze ourselves. Patience, relentlessness and a sense of humor help. https://t.co/BXrw02LCad | https://twitter.com/i/web/status/1664020005061574657 | [
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1663810450939625472 | Interesting visualization library that supports large-scale data in the browser, and has @duckdb WASM support as well:
https://t.co/Hc6Cviw96M | https://twitter.com/i/web/status/1663810450939625472 | [
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1663969125616549890 | 🚨 The moment we have been waiting for:
A Top-Ranked AI Model released under Apache license 🔥 https://t.co/kAFCwtAkpV | https://twitter.com/i/web/status/1663969125616549890 | [
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] |
1663923378737098756 | Did you know that the Pandas .sort_values method accepts a key function (like the Python sorted function)?
You can use this to control how sorting works.
In this example, we sort by magnitude (ignoring sign). https://t.co/lxTc2LFIu5 | https://twitter.com/i/web/status/1663923378737098756 | [
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1663773463264501761 | Your periodic reminder that the greatest gift you can give a team member who is early to mid-career is telling them what you see as their superpower, with sincere optimism about what this superpower might enable for them in the future.
https://t.co/jyZYb5bOf5 | https://twitter.com/i/web/status/1663773463264501761 | [
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1663668728569970690 | Don't make decisions on autopilot.
Think intently about the consequences, then make your choice.
That is the path toward a life that you have control over. | https://twitter.com/i/web/status/1663668728569970690 | [
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1663645529257943040 | Unleash your creativity with Generative AI! @googlecloud just released a short course covering the fundamentals of LLMs and how to deploy generative AI solutions.
Check it out here: https://t.co/KRH04Y5PJ6 | https://twitter.com/i/web/status/1663645529257943040 | [
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1663557280737144833 | @BenjiNaesen I have the scicon aeroconfort. I like it. You can fold it when you are home and you dont need to remove the handlebar to travel | https://twitter.com/i/web/status/1663557280737144833 | [
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1663594080436375558 | 🔩 We've published Colab's Docker runtime image! You can connect to Colab from any machine via Docker and our local runtime connection flow. Follow the instructions below for the connection:
https://t.co/WkI2u14Vv8 | https://twitter.com/i/web/status/1663594080436375558 | [
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1663560918922567680 | Orchestrating data pipelines with #Airflow? Now it can quack with @duckdb's speed, memory efficiency, & Python-friendly design!
Discover the provider by @astronomerio : https://t.co/cqKSbMcxGs
& learn how to use it:
https://t.co/xxGBhz7zwZ | https://twitter.com/i/web/status/1663560918922567680 | [
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1663457187161858048 | The Ultimate Microsoft Azure Bootcamp Drive 🎉🌟
From Zero-to-Hero 🦸♂️💡
#Microsoft #Azure #CloudComputing #cloudsecurity #Udemy #ChatGPT #AWS
https://t.co/DpUwTvOkR5 | https://twitter.com/i/web/status/1663457187161858048 | [
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] |
1663313673581105152 | I wrote this extraordinarily dumb CLI today to merge a bunch of csvs into one excel file (where files are on diff tabs) based on a file glob (couldn’t find anything to my exact liking on pypi)
https://t.co/3klqNWaRsN
This is perhaps the most uncool thing I’ve shared 🫣 | https://twitter.com/i/web/status/1663313673581105152 | [
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1663002251143806977 | Learn Notion for FREE in 30 days: https://t.co/erxURymUOd | https://twitter.com/i/web/status/1663002251143806977 | [
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] |
1560642798822588416 | Always use a simple model as a baseline.
Here an exponential smoothing model beats fancier "deep learning" models.
https://t.co/2NFNljC1kR | https://twitter.com/i/web/status/1560642798822588416 | [
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1662705581629784065 | Querying Tables from #fabric #Onelake in your local computer using #DuckDB, I think Duckdb don't particularly likes V-order thing :) https://t.co/6to926JRw9 | https://twitter.com/i/web/status/1662705581629784065 | [
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1661833563069620247 | State of GPT - Andrej Karpathy at Microsoft Build
Such awesome talk on state of GPT and other LLMs. Karpathy in his usual best teaching style talks about the training paradigms of large language models(pretraining, supervised finetuning, reward modelling, RLHF), prompting… https://t.co/on4hGxLQWv | https://twitter.com/i/web/status/1661833563069620247 | [
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] |
1661906875737321472 | Brothers and Sisters, there is no catch, #fabric #lakehouse is legit, reading the same data using either #synapse SQL
#synapse Spark
#DuckDB with @DeltaLakeOSS https://t.co/Hj9GkSuLOx | https://twitter.com/i/web/status/1661906875737321472 | [
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1661848288889298945 | Leg strength is important for a lot of things but it’s essential for our mobility and yesterday we gave our adductors some work and today we’re focusing on our abductors. 30 seconds each leg and then repeat. #abductors #mobility #afriendlynudge #abalancedyou #exercisesnacks https://t.co/R9iNmPpU0q | https://twitter.com/i/web/status/1661848288889298945 | [
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1661570321281871872 | This is a very interesting talk by @karpathy on the research history of transformers. The insight for discovering attention (the core of transformers) came actually from an analogy on how the main author learnt English in his middle school! https://t.co/eFcsAgy8mq | https://twitter.com/i/web/status/1661570321281871872 | [
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] |
1661771618442698753 | Python tip:
Use ZoneInfo to define timezones for your datetime objects
It's part of the standard library - nothing to install/update
👇 https://t.co/QwarX6nRcc | https://twitter.com/i/web/status/1661771618442698753 | [
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1851321939346014255 | Anthropic published a repo with courses on how to use LLMs https://t.co/X6VGGSsgAQ | https://twitter.com/i/web/status/1851321939346014255 | [
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1851273837922472116 | 1. Go to storm[.]genie[.]stanford[.]edu and click on "Get Started."
Create a account and log in. https://t.co/wrQTfyQjPC | https://twitter.com/i/web/status/1851273837922472116 | [
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] |
1851297819581432105 | Gemini is officially coming to @GitHub Copilot!
Starting with Gemini 1.5 Pro, developers will get access to the 2 million token context window and native multimodal capabilities. It’s time to build.
https://t.co/e4OarEuypC | https://twitter.com/i/web/status/1851297819581432105 | [
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1850306967840940057 | Do we really need all the git features and complexity for personal projects? https://t.co/2g2uu2RE85 | https://twitter.com/i/web/status/1850306967840940057 | [
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] |
1850831937620922800 | One of the less discussed advantages of @astral_sh's uv is how quickly and easily you can run tests on multiple Python versions.
This runs (from cold) in 25 seconds, 7s when cached. https://t.co/vWBtBKMhLo | https://twitter.com/i/web/status/1850831937620922800 | [
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] |
1850693375491477976 | Cumulative table design is a very powerful! At Facebook, it reduced the cost of computing monthly active user metrics by over 95%!
Few things in data engineering can divide your costs by 20 like this!
I created an open source repo detailing it!
https://t.co/hdNSixvZT5 | https://twitter.com/i/web/status/1850693375491477976 | [
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Subsets and Splits