#data-science — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #data-science, aggregated by home.social.
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Season 1 Lesson 28 Part 7 - Your First Steps in Python Regex Sub Clean Data #vibecoding #pythoncode #softwaredeveloper #softwarengineer #learncoding #datascience #azure #machinelearning #gcp #jupyternotebook #dataengineer #dataanalysis #codingtutorial #pythonprogramming #python #aws
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Season 1 Lesson 28 Part 7 - Your First Steps in Python Regex Sub Clean Data #vibecoding #pythoncode #softwaredeveloper #softwarengineer #learncoding #datascience #azure #machinelearning #gcp #jupyternotebook #dataengineer #dataanalysis #codingtutorial #pythonprogramming #python #aws
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Shiny apps are powerful. In regulated environments, they're also a compliance risk most teams aren't prepared for.
Validation means more than testing your own code. Every R package your app depends on needs to be assessed, documented, and defensible. Most teams don't have a process for that part.
The litmusverse automates it. Transparent risk scoring, audit-ready reports, reproducible regulated environments.
jumpingrivers.com/litmus
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Shiny apps are powerful. In regulated environments, they're also a compliance risk most teams aren't prepared for.
Validation means more than testing your own code. Every R package your app depends on needs to be assessed, documented, and defensible. Most teams don't have a process for that part.
The litmusverse automates it. Transparent risk scoring, audit-ready reports, reproducible regulated environments.
jumpingrivers.com/litmus
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An interesting looking post-doc position, working on training tabular foundation models, with the folks that started and continue to maintain scikit-learn #DataScience #Academia via @GaelVaroquaux
https://team.inria.fr/soda/files/2026/06/tabular_post_doc.pdf
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An interesting looking post-doc position, working on training tabular foundation models, with the folks that started and continue to maintain scikit-learn #DataScience #Academia via @GaelVaroquaux
https://team.inria.fr/soda/files/2026/06/tabular_post_doc.pdf
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Best Penetration Testing Platforms for Enterprise Security Teams https://www.cloudcomputing-news.net/news/best-penetration-testing-platforms-for-enterprise-security-teams/?utm_source=dlvr.it&utm_medium=mastodon #Cloud #Automation #Data #AIArchitecture #EnterpriseAI #CloudComputing #DataScience #Innovation
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Best Penetration Testing Platforms for Enterprise Security Teams https://www.cloudcomputing-news.net/news/best-penetration-testing-platforms-for-enterprise-security-teams/?utm_source=dlvr.it&utm_medium=mastodon #Cloud #Automation #Data #AIArchitecture #EnterpriseAI #CloudComputing #DataScience #Innovation
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Season 1 Lesson 28 Part 6 - Your First Steps in Python Regex Sub Replace Text #dataanalysis #codingtutorial #softwaredeveloper #softwarengineer #vibecoding #pythoncode #learncoding #datascience #azure #machinelearning #gcp #jupyternotebook #dataengineer #pythonprogramming #python #aws
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Season 1 Lesson 28 Part 6 - Your First Steps in Python Regex Sub Replace Text #dataanalysis #codingtutorial #softwaredeveloper #softwarengineer #vibecoding #pythoncode #learncoding #datascience #azure #machinelearning #gcp #jupyternotebook #dataengineer #pythonprogramming #python #aws
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Season 1 Lesson 28 Part 5 - Your First Steps in Python Regex Split Multiple Separators #pythonprogramming #azure #machinelearning #dataanalysis #codingtutorial #softwaredeveloper #softwarengineer #vibecoding #pythoncode #gcp #jupyternotebook #dataengineer #aws #python #learncoding #datascience
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Alright, future engineers!
**Expected Value (E[X]):** The average outcome you'd expect from a random variable over many trials.
Ex: For a fair 6-sided die, E[X] = 3.5.
Pro-Tip: Use it for risk assessment and making smart decisions in uncertain systems!
#Probability #DataScience #STEM #StudyNotes -
Alright, future engineers!
**Expected Value (E[X]):** The average outcome you'd expect from a random variable over many trials.
Ex: For a fair 6-sided die, E[X] = 3.5.
Pro-Tip: Use it for risk assessment and making smart decisions in uncertain systems!
#Probability #DataScience #STEM #StudyNotes -
Season 1 Lesson 28 Part 4 - Your First Steps in Python Regex Split Limits #softwaredeveloper #softwarengineer #datascience #vibecoding #pythonprogramming #pythoncode #azure #machinelearning #dataanalysis #codingtutorial #gcp #learncoding #python #aws #dataengineer #jupyternotebook
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Season 1 Lesson 28 Part 4 - Your First Steps in Python Regex Split Limits #softwaredeveloper #softwarengineer #datascience #vibecoding #pythonprogramming #pythoncode #azure #machinelearning #dataanalysis #codingtutorial #gcp #learncoding #python #aws #dataengineer #jupyternotebook
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ICYMI: Almedia opens London office to hire data talent alongside OpenAI and Anthropic: Almedia, ranked Europe's third fastest-growing company, opened a London office at King's Cross today to recruit data scientists and machine learning engineers. https://ppc.land/almedia-opens-london-office-to-hire-data-talent-alongside-openai-and-anthropic/ #DataScience #MachineLearning #OpenAI #TechJobs #Hiring
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ICYMI: Almedia opens London office to hire data talent alongside OpenAI and Anthropic: Almedia, ranked Europe's third fastest-growing company, opened a London office at King's Cross today to recruit data scientists and machine learning engineers. https://ppc.land/almedia-opens-london-office-to-hire-data-talent-alongside-openai-and-anthropic/ #DataScience #MachineLearning #OpenAI #TechJobs #Hiring
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DeepSeek DSpark : 85% faster LLM inferencing What is DeepSeek DSpark? Continue reading on Data Science in Your Pocket »
#machine-learning #programming #data-science #artificial-intelligence #technology
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China's LineShine Supercomputer: A Sense of Scale ⚡🖥️
China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than 2 quintillion (2×10¹⁸) calculations every second 🚀. The system consumes 42.2 megawatts of electricity ⚡ and is powered by more than 13.7 million conventional CPU cores 🧠.
The Scale of Its Computing Power 📊
Compared to Humanity 👥: If every person on Earth performed one mathematical calculation every second, without stopping ⏱️, it would take the entire global population about 4 years 📅 to equal the amount of computation LineShine completes in a single second.
Consumer Hardware 💻: Matching LineShine's sustained performance would require more than 20 million of today's fastest consumer graphics cards 🖥️, such as an RTX 5090, working together in perfect synchronization 🔗.
LineShine demonstrates the extraordinary scale of modern high-performance computing (HPC), enabling scientific calculations that would be practically impossible using conventional computers 🚀.
#Supercomputer #LineShine #Exascale #Exaflop #HPC #HighPerformanceComputing #Technology #Innovation #Science #Engineering #Computing #CPU #ParallelComputing #ClimateScience #WeatherForecasting #Neuroscience #QuantumChemistry #Physics #MolecularScience #DataScience #ArtificialIntelligence #AI #Research #STEM #FutureTech #DigitalEarth #ComputerScience #TechFacts #NextGenComputing #TOP500
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China's LineShine Supercomputer: A Sense of Scale ⚡🖥️
China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than 2 quintillion (2×10¹⁸) calculations every second 🚀. The system consumes 42.2 megawatts of electricity ⚡ and is powered by more than 13.7 million conventional CPU cores 🧠.
The Scale of Its Computing Power 📊
Compared to Humanity 👥: If every person on Earth performed one mathematical calculation every second, without stopping ⏱️, it would take the entire global population about 4 years 📅 to equal the amount of computation LineShine completes in a single second.
Consumer Hardware 💻: Matching LineShine's sustained performance would require more than 20 million of today's fastest consumer graphics cards 🖥️, such as an RTX 5090, working together in perfect synchronization 🔗.
LineShine demonstrates the extraordinary scale of modern high-performance computing (HPC), enabling scientific calculations that would be practically impossible using conventional computers 🚀.
#Supercomputer #LineShine #Exascale #Exaflop #HPC #HighPerformanceComputing #Technology #Innovation #Science #Engineering #Computing #CPU #ParallelComputing #ClimateScience #WeatherForecasting #Neuroscience #QuantumChemistry #Physics #MolecularScience #DataScience #ArtificialIntelligence #AI #Research #STEM #FutureTech #DigitalEarth #ComputerScience #TechFacts #NextGenComputing #TOP500
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Season 1 Lesson 28 Part 3 - Your First Steps in Python Regex Search Explained #dataengineer #azure #machinelearning #vibecoding #pythonprogramming #pythoncode #dataanalysis #softwaredeveloper #softwarengineer #datascience #codingtutorial #gcp #learncoding #python #aws #jupyternotebook