@taupirho.bsky.social
Stop LLM parsing errors. Anthropic Structured Outputs for Claude Sonnet 4.5/Opus 4.1 guarantee JSON output. My guide on @towardsdatascience.com shows how to build reliable agents & data extractors.
towardsdatascience.com/hands-on-wit...
towardsdatascience.com/hands-on-wit...
A Hands-On Guide to Anthropic’s New Structured Output Capabilities | Towards Data Science
A developer’s guide to perfect JSON and typed outputs from Claude Sonnet 4.5 and Opus 4.1
towardsdatascience.com
November 24, 2025 at 9:59 PM
Stop LLM parsing errors. Anthropic Structured Outputs for Claude Sonnet 4.5/Opus 4.1 guarantee JSON output. My guide on @towardsdatascience.com shows how to build reliable agents & data extractors.
towardsdatascience.com/hands-on-wit...
towardsdatascience.com/hands-on-wit...
Reposted
Learn how to make Python code up to 150x faster by offloading computationally heavy algorithms to C. @taupirho.bsky.social covers 3 practical methods, from simple subprocesses to advanced C extensions.
Run Python Up to 150× Faster with C | Towards Data Science
A practical guide to offloading performance-critical code to C without abandoning Python.
towardsdatascience.com
November 22, 2025 at 7:18 PM
Learn how to make Python code up to 150x faster by offloading computationally heavy algorithms to C. @taupirho.bsky.social covers 3 practical methods, from simple subprocesses to advanced C extensions.
Want the lowdown on downloading and running Python 3.14 GIL free? For this and more, you should check out my latest article on the @Medium blogging platform.
levelup.gitconnected.com/python-3-14-...
levelup.gitconnected.com/python-3-14-...
Python 3.14 & the End of the GIL
Exploring the opportunities and challenges of a GIL-free Python
levelup.gitconnected.com
November 20, 2025 at 7:03 PM
Want the lowdown on downloading and running Python 3.14 GIL free? For this and more, you should check out my latest article on the @Medium blogging platform.
levelup.gitconnected.com/python-3-14-...
levelup.gitconnected.com/python-3-14-...
Reposted
Learn how to simplify your RAG pipeline. @taupirho.bsky.social's latest article covers Google's File Search tool, which handles the chunking, embedding, and vectorizing of your documents automatically.
Introducing Google’s File Search Tool | Towards Data Science
The search giant fires its latest salvo against traditional RAG processing.
towardsdatascience.com
November 18, 2025 at 8:15 PM
Learn how to simplify your RAG pipeline. @taupirho.bsky.social's latest article covers Google's File Search tool, which handles the chunking, embedding, and vectorizing of your documents automatically.
Reposted
@taupirho.bsky.social introduces you to Server-Sent Events. Explore what they are, how they compare to WebSockets, and why they are often the perfect tool for the job.
Introducing Server-Sent Events in Python | Towards Data Science
A simpler path to coding real-time web applications.
towardsdatascience.com
August 15, 2025 at 2:10 PM
@taupirho.bsky.social introduces you to Server-Sent Events. Explore what they are, how they compare to WebSockets, and why they are often the perfect tool for the job.
Reposted
The myth that Tkinter is outdated is holding you back.
@taupirho.bsky.social's new article proves that Tkinter is still a versatile and powerful tool, showing how to create a fully-featured dashboard with dynamic filters and clickable, interactive charts.
@taupirho.bsky.social's new article proves that Tkinter is still a versatile and powerful tool, showing how to create a fully-featured dashboard with dynamic filters and clickable, interactive charts.
Building a Modern Dashboard with Python and Tkinter | Towards Data Science
Create polished GUIs and data dashboards with this versatile library
towardsdatascience.com
August 20, 2025 at 9:27 PM
The myth that Tkinter is outdated is holding you back.
@taupirho.bsky.social's new article proves that Tkinter is still a versatile and powerful tool, showing how to create a fully-featured dashboard with dynamic filters and clickable, interactive charts.
@taupirho.bsky.social's new article proves that Tkinter is still a versatile and powerful tool, showing how to create a fully-featured dashboard with dynamic filters and clickable, interactive charts.
Reposted
@taupirho.bsky.social explains how Google’s LangExtract tool enables RAG-style capabilities without traditional RAG. He breaks down what the library offers and why it’s another big step in Google’s recent wave of AI breakthroughs.
Introducing Google’s LangExtract tool | Towards Data Science
Do RAG without doing RAG with this powerful new NLP and data extraction library
towardsdatascience.com
September 4, 2025 at 6:18 PM
@taupirho.bsky.social explains how Google’s LangExtract tool enables RAG-style capabilities without traditional RAG. He breaks down what the library offers and why it’s another big step in Google’s recent wave of AI breakthroughs.
Reposted
Struggling to test tricky time-based logic like month-ends or leap years? @taupirho.bsky.social shows why Freezegun is the elegant solution. It allows you to travel through time within your tests, simulating any date or time with ease.
Useful Python Libraries You Might Not Have Heard Of: Freezegun | Towards Data Science
Bring time to a standstill in your Python tests
towardsdatascience.com
September 4, 2025 at 9:05 PM
Struggling to test tricky time-based logic like month-ends or leap years? @taupirho.bsky.social shows why Freezegun is the elegant solution. It allows you to travel through time within your tests, simulating any date or time with ease.
Reposted
@taupirho.bsky.social breaks down Google’s LangExtract tool, a powerful new NLP and data extraction library that rethinks how we approach RAG. He explains the features, use cases, and why it stands out in Google’s AI streak.
Introducing Google’s LangExtract tool | Towards Data Science
Do RAG without doing RAG with this powerful new NLP and data extraction library
towardsdatascience.com
September 8, 2025 at 2:04 PM
@taupirho.bsky.social breaks down Google’s LangExtract tool, a powerful new NLP and data extraction library that rethinks how we approach RAG. He explains the features, use cases, and why it stands out in Google’s AI streak.
Reposted
Reposted
Data analysts and ML engineers waste countless hours manually extracting data from PDFs. @taupirho.bsky.social's latest article introduces Docling, an open-source library from IBM Research designed to automate this critical step.
Docling: The Document Alchemist | Towards Data Science
Why do we still wrestle with documents in 2025? Spend some time in any data-driven organisation, and you’ll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes,…
towardsdatascience.com
September 12, 2025 at 9:05 PM
Data analysts and ML engineers waste countless hours manually extracting data from PDFs. @taupirho.bsky.social's latest article introduces Docling, an open-source library from IBM Research designed to automate this critical step.
Reposted
@taupirho.bsky.social explains how Tkinter remains a powerful tool for building polished dashboards. He breaks down how Python’s original GUI library still holds up, showing how to create modern dashboards with a classic approach.
Building a Modern Dashboard with Python and Tkinter | Towards Data Science
Create polished GUIs and data dashboards with this versatile library
towardsdatascience.com
September 14, 2025 at 6:18 PM
@taupirho.bsky.social explains how Tkinter remains a powerful tool for building polished dashboards. He breaks down how Python’s original GUI library still holds up, showing how to create modern dashboards with a classic approach.
Reposted
With Google’s release of URL context grounding, RAG might not be the only option anymore. @taupirho.bsky.social breaks down how this tool can be used stand-alone or with Google search grounding to deliver powerful insights from web data.
Google’s URL Context Grounding: Another Nail in RAG’s Coffin? | Towards Data Science
Google’s hot streak in AI-related releases continues unabated. Just a few days ago, it released a new tool for Gemini called URL context grounding. URL context grounding can be used stand-alone or…
towardsdatascience.com
September 18, 2025 at 3:28 PM
With Google’s release of URL context grounding, RAG might not be the only option anymore. @taupirho.bsky.social breaks down how this tool can be used stand-alone or with Google search grounding to deliver powerful insights from web data.
Reposted
@taupirho.bsky.social explains how Google’s new URL context grounding works and why it could reshape how we extract insights from web content. He breaks down how it avoids traditional RAG pipelines while enabling deeper, more accurate analysis.
Google’s URL Context Grounding: Another Nail in RAG’s Coffin? | Towards Data Science
Google’s hot streak in AI-related releases continues unabated. Just a few days ago, it released a new tool for Gemini called URL context grounding. URL context grounding can be used stand-alone or…
towardsdatascience.com
September 20, 2025 at 3:27 PM
@taupirho.bsky.social explains how Google’s new URL context grounding works and why it could reshape how we extract insights from web content. He breaks down how it avoids traditional RAG pipelines while enabling deeper, more accurate analysis.
Reposted
Are computationally heavy tasks like generating a Mandelbrot set grinding your Python code to a halt? This new analysis by @taupirho.bsky.social shows how calling a Mojo module makes it almost 20x faster than pure Python.
Python Can Now Call Mojo | Towards Data Science
Boost your runtimes with lightning-fast Mojo code
towardsdatascience.com
September 22, 2025 at 8:34 PM
Are computationally heavy tasks like generating a Mandelbrot set grinding your Python code to a halt? This new analysis by @taupirho.bsky.social shows how calling a Mojo module makes it almost 20x faster than pure Python.
Reposted
Testing code with time-dependent logic can be tricky. @taupirho.bsky.social breaks down how Freezegun helps by “freezing” time in Python tests, making debugging and validation much easier, epecially in AI and ML workflows.
Useful Python Libraries You Might Not Have Heard Of: Freezegun | Towards Data Science
Bring time to a standstill in your Python tests
towardsdatascience.com
September 27, 2025 at 6:18 PM
Testing code with time-dependent logic can be tricky. @taupirho.bsky.social breaks down how Freezegun helps by “freezing” time in Python tests, making debugging and validation much easier, epecially in AI and ML workflows.
Reposted
Finding it difficult to display your data for users? For Python developers who need to build a front-end, @taupirho.bsky.social's new article shows you how to create a data dashboard from scratch using HTML, CSS, and JavaScript.
Build a Data Dashboard Using HTML, CSS, and JavaScript | Towards Data Science
A framework-free guide for Python programmers
towardsdatascience.com
October 4, 2025 at 1:47 PM
Finding it difficult to display your data for users? For Python developers who need to build a front-end, @taupirho.bsky.social's new article shows you how to create a data dashboard from scratch using HTML, CSS, and JavaScript.
Reposted
Python users looking for speed gains should take note. @taupirho.bsky.social breaks down how integrating Mojo can supercharge runtimes.
Python Can Now Call Mojo | Towards Data Science
Boost your runtimes with lightning-fast Mojo code
towardsdatascience.com
October 5, 2025 at 12:34 AM
Python users looking for speed gains should take note. @taupirho.bsky.social breaks down how integrating Mojo can supercharge runtimes.
Reposted
I would use React instead of vanilla JS for such dashboard. Still, very interesting article!
October 7, 2025 at 11:19 AM
I would use React instead of vanilla JS for such dashboard. Still, very interesting article!
Reposted
Making hundreds of API calls sequentially can take forever. In this this article, @taupirho.bsky.social explains how httpx and asyncio can complete the same tasks in a fraction of the time, with a practical test case you can replicate.
Beyond Requests: Why httpx is the Modern HTTP Client You Need (Sometimes) | Towards Data Science
A comprehensive comparison of these two Python libraries
towardsdatascience.com
October 16, 2025 at 12:34 AM
Making hundreds of API calls sequentially can take forever. In this this article, @taupirho.bsky.social explains how httpx and asyncio can complete the same tasks in a fraction of the time, with a practical test case you can replicate.
Reposted
@taupirho.bsky.social breaks down how to build clean, functional data dashboards from scratch using just HTML, CSS, and JavaScript. No frameworks required.
Build a Data Dashboard Using HTML, CSS, and JavaScript | Towards Data Science
A framework-free guide for Python programmers
towardsdatascience.com
October 17, 2025 at 2:07 PM
@taupirho.bsky.social breaks down how to build clean, functional data dashboards from scratch using just HTML, CSS, and JavaScript. No frameworks required.
Reposted
Reduce the complexity of deploying OpenAI agents. @taupirho.bsky.social's newest article simplifies the process of using ChatKit to get your chatbot onto a public website.
Deploy an OpenAI Agent Builder Chatbot to a Website | Towards Data Science
Using OpenAI’s Agent Builder ChatKit
towardsdatascience.com
October 24, 2025 at 6:18 PM
Reduce the complexity of deploying OpenAI agents. @taupirho.bsky.social's newest article simplifies the process of using ChatKit to get your chatbot onto a public website.
After URL Context Grounding and LangExtract, Google launches File Search—managed RAG baked into the Gemini API. Upload docs, query instantly.
For a deep dive, read my article for FREE on the @towardsdatascience.com blog at
towardsdatascience.com/introducing-...
For a deep dive, read my article for FREE on the @towardsdatascience.com blog at
towardsdatascience.com/introducing-...
Introducing Google’s File Search Tool | Towards Data Science
The search giant fires its latest salvo against traditional RAG processing.
towardsdatascience.com
November 18, 2025 at 12:57 PM
After URL Context Grounding and LangExtract, Google launches File Search—managed RAG baked into the Gemini API. Upload docs, query instantly.
For a deep dive, read my article for FREE on the @towardsdatascience.com blog at
towardsdatascience.com/introducing-...
For a deep dive, read my article for FREE on the @towardsdatascience.com blog at
towardsdatascience.com/introducing-...
Reposted
Learn how to make Python code up to 150x faster by offloading computationally heavy algorithms to C. @taupirho.bsky.social's new article covers 3 practical methods, from simple subprocesses to advanced C extensions.
Make Python Up to 150× Faster with C | Towards Data Science
A practical guide to offloading performance-critical code to C without abandoning Python.
towardsdatascience.com
November 11, 2025 at 7:18 PM
Learn how to make Python code up to 150x faster by offloading computationally heavy algorithms to C. @taupirho.bsky.social's new article covers 3 practical methods, from simple subprocesses to advanced C extensions.