Validating data with pointblank in python
One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable. Pointblank is a newer tool that allows you to really dig into a dataset and task assumptions in a robust and reproducible manner.
https://www.markpitblado.me/blog/validating-data-with-pointblank-in-python
One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable. Pointblank is a newer tool that allows you to really dig into a dataset and task assumptions in a robust and reproducible manner.
https://www.markpitblado.me/blog/validating-data-with-pointblank-in-python
Mark Pitblado
Validating data with pointblank in python
One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable.…
Update on array API adoption in scikit-learn
The article explains how scikit-learn is adopting the Python Array API standard, allowing machine-learning code to run on different array libraries (NumPy, PyTorch, CuPy) without rewriting algorithms. This enables the same scikit-learn models to automatically leverage accelerators like GPUs and improves interoperability across the scientific Python ecosystem.
https://labs.quansight.org/blog/array-api-scikit-learn-2026
The article explains how scikit-learn is adopting the Python Array API standard, allowing machine-learning code to run on different array libraries (NumPy, PyTorch, CuPy) without rewriting algorithms. This enables the same scikit-learn models to automatically leverage accelerators like GPUs and improves interoperability across the scientific Python ecosystem.
https://labs.quansight.org/blog/array-api-scikit-learn-2026
Python 3.12.13, 3.11.15 and 3.10.20 are now available!
New security releases for 3.10, 3.11 and 3.12 are now available. (As these Python versions are now in security-fix-only mode, these are source-only releases, and there is no pre-set release cadence.)
https://blog.python.org/2026/03/python-31213-31115-31020/
New security releases for 3.10, 3.11 and 3.12 are now available. (As these Python versions are now in security-fix-only mode, these are source-only releases, and there is no pre-set release cadence.)
https://blog.python.org/2026/03/python-31213-31115-31020/
Python Insider
Python 3.12.13, 3.11.15 and 3.10.20 are now available! | Python Insider
Python Releases For Your Security! New security releases for 3.10, 3.11 and 3.12 are now available.
MedKit
MedKit is a high-performance, unified SDK that transforms fragmented medical APIs into a single, programmable platform. It provides a clean interface for OpenFDA, PubMed, and ClinicalTrials.gov, augmented with a clinical intelligence layer and relationship mapping.
https://github.com/interestng/medkit
MedKit is a high-performance, unified SDK that transforms fragmented medical APIs into a single, programmable platform. It provides a clean interface for OpenFDA, PubMed, and ClinicalTrials.gov, augmented with a clinical intelligence layer and relationship mapping.
https://github.com/interestng/medkit
GitHub
GitHub - interestng/medkit: Unified Python SDK for OpenFDA, PubMed, and ClinicalTrials.gov with clinical intelligence, interaction…
Unified Python SDK for OpenFDA, PubMed, and ClinicalTrials.gov with clinical intelligence, interaction detection, and research tools. - interestng/medkit
Serving Private Files with Django and S3
The article shows how to securely serve private user files stored in Amazon S3 from a Django app by keeping the bucket private and generating time-limited pre-signed URLs when a user is authorized to access a file. This approach lets S3 handle file delivery directly while Django controls access, avoiding slow proxying through the app server and making the system more scalable.
https://lincolnloop.com/blog/serving-private-files-with-django-and-s3/
The article shows how to securely serve private user files stored in Amazon S3 from a Django app by keeping the bucket private and generating time-limited pre-signed URLs when a user is authorized to access a file. This approach lets S3 handle file delivery directly while Django controls access, avoiding slow proxying through the app server and making the system more scalable.
https://lincolnloop.com/blog/serving-private-files-with-django-and-s3/
Lincoln Loop
Serving Private Files with Django and S3 | Lincoln Loop
Django’s FileField and ImageField are good at storing files, but on their own they don’t let us control access. When …
Unit testing your code’s performance, part 2: Catching speed changes
Got benchmarks in CI? You can (maybe) use tests to catch performance changes even earlier.
https://pythonspeed.com/articles/speed-unit-tests/
Got benchmarks in CI? You can (maybe) use tests to catch performance changes even earlier.
https://pythonspeed.com/articles/speed-unit-tests/
Python⇒Speed
Unit testing your code’s performance, part 2: Catching speed changes
Got benchmarks in CI? You can (maybe) use tests to catch performance changes even earlier.
seomachine
A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience.
https://github.com/TheCraigHewitt/seomachine
A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience.
https://github.com/TheCraigHewitt/seomachine
GitHub
GitHub - TheCraigHewitt/seomachine: A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for…
A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and ser...
hermes-agent
Hermes Agent is an open-source autonomous AI agent that you install on your own server or machine, where it lives persistently, learns over time, and builds reusable skills and memory across sessions instead of resetting like typical chatbots.
https://github.com/NousResearch/hermes-agent
Hermes Agent is an open-source autonomous AI agent that you install on your own server or machine, where it lives persistently, learns over time, and builds reusable skills and memory across sessions instead of resetting like typical chatbots.
https://github.com/NousResearch/hermes-agent
GitHub
GitHub - NousResearch/hermes-agent: The agent that grows with you
The agent that grows with you. Contribute to NousResearch/hermes-agent development by creating an account on GitHub.
Formualizer
The spreadsheet engine that actually evaluates formulas. Parse, evaluate, and mutate Excel workbooks from Rust, Python, or the browser.
https://github.com/psu3d0/formualizer
The spreadsheet engine that actually evaluates formulas. Parse, evaluate, and mutate Excel workbooks from Rust, Python, or the browser.
https://github.com/psu3d0/formualizer
GitHub
GitHub - PSU3D0/formualizer: Embeddable spreadsheet engine — parse, evaluate & mutate Excel workbooks from Rust, Python, or the…
Embeddable spreadsheet engine — parse, evaluate & mutate Excel workbooks from Rust, Python, or the browser. Arrow-powered, 320+ functions. - PSU3D0/formualizer
MicroGPT explained interactively
Walk through Karpathy's 200-line GPT from scratch. Tokenize names into integers, watch softmax convert scores to probabilities, step through backpropagation on a computation graph, explore attention heatmaps, and see a tiny model learn to generate plausible names.
https://growingswe.com/blog/microgpt
Walk through Karpathy's 200-line GPT from scratch. Tokenize names into integers, watch softmax convert scores to probabilities, step through backpropagation on a computation graph, explore attention heatmaps, and see a tiny model learn to generate plausible names.
https://growingswe.com/blog/microgpt
Growingswe
MicroGPT explained interactively
Walk through Karpathy's 200-line GPT from scratch. Tokenize names into integers, watch softmax convert scores to probabilities, step through backpropagation on a computation graph, explore attention heatmaps, and see a tiny model learn to generate plausible…
Using tox to Test a Django App Across Multiple Django Versions
The article shows how to use tox to test a Django app across multiple Python and Django versions by creating isolated environments that install specific dependency combinations and run the same test suite. By defining a version matrix in tox.ini, developers can automatically verify compatibility across many Django releases and catch packaging or environment issues before users encounter them.
https://www.djangotricks.com/blog/2026/02/using-tox-to-test-a-django-app-across-multiple-django-versions/
The article shows how to use tox to test a Django app across multiple Python and Django versions by creating isolated environments that install specific dependency combinations and run the same test suite. By defining a version matrix in tox.ini, developers can automatically verify compatibility across many Django releases and catch packaging or environment issues before users encounter them.
https://www.djangotricks.com/blog/2026/02/using-tox-to-test-a-django-app-across-multiple-django-versions/
DjangoTricks
Using tox to Test a Django App Across Multiple Django Versions
Learn tips and tricks about web development with Django daily
FastAPI error handling: types, methods, and best practices
Learn FastAPI error handling with different types, methods, and best practices. Build robust APIs using custom exception handlers and practical examples.
https://www.honeybadger.io/blog/fastapi-error-handling/
Learn FastAPI error handling with different types, methods, and best practices. Build robust APIs using custom exception handlers and practical examples.
https://www.honeybadger.io/blog/fastapi-error-handling/
Honeybadger
FastAPI Error Handling: Types, Methods, and Best Practices
Learn FastAPI error handling with different types, methods, and best practices. Build robust APIs using custom exception handlers and practical examples.
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python-apple-fm-sdk
Python bindings for access to the on-device model at the core of Apple Intelligence through the Foundation Models framework.
https://github.com/apple/python-apple-fm-sdk
Python bindings for access to the on-device model at the core of Apple Intelligence through the Foundation Models framework.
https://github.com/apple/python-apple-fm-sdk
GitHub
GitHub - apple/python-apple-fm-sdk: Python bindings for access to the on-device model at the core of Apple Intelligence through…
Python bindings for access to the on-device model at the core of Apple Intelligence through the Foundation Models framework - apple/python-apple-fm-sdk
Resume-Tailor
The Resume Tailor is a small tool used to quickly and automatically tailor your resume to a job description. This allows you to have the best odds of getting your resume into the hands of actual humans.
https://github.com/farmerTheodor/Resume-Tailor
The Resume Tailor is a small tool used to quickly and automatically tailor your resume to a job description. This allows you to have the best odds of getting your resume into the hands of actual humans.
https://github.com/farmerTheodor/Resume-Tailor
GitHub
GitHub - farmerTheodor/Resume-Tailor: The Resume Tailor is a small tool used to quickly and automatically tailor your resume to…
The Resume Tailor is a small tool used to quickly and automatically tailor your resume to a job description. This allows you to have the best odds of getting your resume into the hands of actual hu...
Designing for Model Swaps
When LLM providers ship breaking changes, a poor architecture turns a config tweak into a 400-line PR. This post introduces seam-driven design - five narrow interfaces (provider, prompt, tools, config, observability) each independently swappable - illustrated with a working FastAPI + LangChain reference app, a practical checklist, and two hands-on drills readers can run immediate
https://garybake.com/seams1.html
When LLM providers ship breaking changes, a poor architecture turns a config tweak into a 400-line PR. This post introduces seam-driven design - five narrow interfaces (provider, prompt, tools, config, observability) each independently swappable - illustrated with a working FastAPI + LangChain reference app, a practical checklist, and two hands-on drills readers can run immediate
https://garybake.com/seams1.html
Programming, Machine learning and Electronics chit chat
Designing for Model Swaps
Part of the Change Seams series - architecture patterns for LLM applications that survive the real world.
Validating data with pointblank in python
One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable. Pointblank is a newer tool that allows you to really dig into a dataset and task assumptions in a robust and reproducible manner.
https://www.markpitblado.me/blog/validating-data-with-pointblank-in-python
One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable. Pointblank is a newer tool that allows you to really dig into a dataset and task assumptions in a robust and reproducible manner.
https://www.markpitblado.me/blog/validating-data-with-pointblank-in-python
Mark Pitblado
Validating data with pointblank in python
One of the most common tasks of any organization is reviewing data to ensure that it is accurate and does not contain errors. Commonly, this is done by producing graphs or summary information like a median or mean and confirming that it looks reasonable.…
You’ve Been Underusing Dataclasses (These Tricks Are Wild)
The video demonstrates seven powerful, lesser-known techniques using Python dataclasses, including automatic class registration, lightweight validation, cached derived values, and context manager patterns. It also shows practical uses such as CLI generation and explains advanced features like InitVar, highlighting how dataclasses can enable cleaner and more expressive Python designs.
https://www.youtube.com/watch?v=Y9_h7ehjhO4
The video demonstrates seven powerful, lesser-known techniques using Python dataclasses, including automatic class registration, lightweight validation, cached derived values, and context manager patterns. It also shows practical uses such as CLI generation and explains advanced features like InitVar, highlighting how dataclasses can enable cleaner and more expressive Python designs.
https://www.youtube.com/watch?v=Y9_h7ehjhO4
YouTube
You’ve Been Underusing Dataclasses (These Tricks Are Wild)
🧱 Build software that lasts. Join the Software Design Mastery waiting list → https://arjan.codes/mastery.
In this video, I show you 7 powerful and lesser-known things you can do with dataclasses in Python. From automatic class registration and lightweight…
In this video, I show you 7 powerful and lesser-known things you can do with dataclasses in Python. From automatic class registration and lightweight…
100 days 100 iot project with Micropython
https://github.com/kritishmohapatra/100_Days_100_IoT_Projects
https://github.com/kritishmohapatra/100_Days_100_IoT_Projects
GitHub
GitHub - kritishmohapatra/100_Days_100_IoT_Projects: A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266…
A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and ...
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