T-Strings: Do They Actually Make SQL Better in Python 3.14?
The video explains that t-strings are a new string format in Python 3.14 designed to help with SQL query sanitization by separating query parts and parameters for better readability and safety. While t-strings can improve managing complex queries with many parameters, for simple queries they add unnecessary complexity compared to traditional parameterized queries, making them useful main...
https://www.youtube.com/watch?v=R5ov9SbLaYc
The video explains that t-strings are a new string format in Python 3.14 designed to help with SQL query sanitization by separating query parts and parameters for better readability and safety. While t-strings can improve managing complex queries with many parameters, for simple queries they add unnecessary complexity compared to traditional parameterized queries, making them useful main...
https://www.youtube.com/watch?v=R5ov9SbLaYc
YouTube
T-Strings: Do They Actually Make SQL Better in Python 3.14?
T-Strings are one of the most talked-about features coming in Python 3.14. But what exactly are t-strings, and should you use them in your projects?
In this video, we’ll break down: (1) What t-strings are and how they work in Python, (2) how t-strings compare…
In this video, we’ll break down: (1) What t-strings are and how they work in Python, (2) how t-strings compare…
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Why Reactive Programming Hasn't Taken Off in Python (And How Signals Can Change That)
Reactive programming offers significant benefits for Python applications - it reduces bugs, simplifies complexity, and improves maintainability. Yet most Python developers avoid it. The problem isn't reactive programming itself, it's how we've been doing it. Python's reaktiv makes reactive programming as simple as spreadsheet formulas.
https://bui.app/why-reactive-programming-hasnt-taken-off-in-python-and-how-signals-can-change-that/
Reactive programming offers significant benefits for Python applications - it reduces bugs, simplifies complexity, and improves maintainability. Yet most Python developers avoid it. The problem isn't reactive programming itself, it's how we've been doing it. Python's reaktiv makes reactive programming as simple as spreadsheet formulas.
https://bui.app/why-reactive-programming-hasnt-taken-off-in-python-and-how-signals-can-change-that/
bui.app
Why Reactive Programming Hasn't Taken Off in Python (And How Signals Can Change That)
TL;DR: Reactive programming offers significant benefits for Python applications - it reduces bugs, simplifies complexity, and improves maintainability. Yet most Python developers avoid it. The problem isn't reactive programming itself, it's how we've been…
Training a Deep Learning Model for Echogram Semantic Segmentation
In this tutorial we build a deep-learning pipeline for echogram segmentation using open-source tools. Echograms are two-dimensional plots of acoustic echo intensity versus time and depth recorded using sonar instruments, in our case echosounders.
https://oceanstream.io/training-a-deep-learning-model-for-echogram-semantic-segmentation/
In this tutorial we build a deep-learning pipeline for echogram segmentation using open-source tools. Echograms are two-dimensional plots of acoustic echo intensity versus time and depth recorded using sonar instruments, in our case echosounders.
https://oceanstream.io/training-a-deep-learning-model-for-echogram-semantic-segmentation/
OceanStream
Training a Deep Learning Model for Echogram Semantic Segmentation
In this tutorial we build a deep‑learning pipeline for echogram segmentation using open‑source tools. Echograms are two‑dimensional plots of acoustic echo intensity versus time and depth recorded using sonar instruments, in our case echosounders.
Python 3.14 Is Here. How Fast Is It?
Python 3.14 delivers notable performance improvements, including up to 27% speedup in some benchmarks compared to Python 3.13, and enhanced free-threaded execution for better multithreading. The new release also adds features like syntax highlighting in the REPL and improved concurrency support.
https://blog.miguelgrinberg.com/post/python-3-14-is-here-how-fast-is-it
Python 3.14 delivers notable performance improvements, including up to 27% speedup in some benchmarks compared to Python 3.13, and enhanced free-threaded execution for better multithreading. The new release also adds features like syntax highlighting in the REPL and improved concurrency support.
https://blog.miguelgrinberg.com/post/python-3-14-is-here-how-fast-is-it
Miguelgrinberg
Python 3.14 Is Here. How Fast Is It?
In November of 2024 I wrote a blog post titled "Is Python Really That Slow?", in which I tested several versions of Python and noted the steady progress the language has been making in terms of…
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How to Level Up Your Python Logs with Structlog
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability.
https://www.dash0.com/guides/python-logging-with-structlog
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability.
https://www.dash0.com/guides/python-logging-with-structlog
Dash0
How to Level Up Your Python Logs with Structlog · Dash0
This Structlog guide covers configuration context JSON output error handling and OpenTelemetry integration to make your logs a useful signal for Observability
PyTorch 2.9
PyTorch 2.9 introduces new features including a stable libtorch ABI for C++/CUDA extensions, symmetric memory programming for easy multi-GPU kernel development, and enhanced control over graph break handling in torch.compile. It expands wheel support for AMD ROCm, Intel XPU, and CUDA 13, adds FlexAttention optimizations on Intel GPUs and X86 CPUs, and improves Arm platform performance wi...
https://pytorch.org/blog/pytorch-2-9/
PyTorch 2.9 introduces new features including a stable libtorch ABI for C++/CUDA extensions, symmetric memory programming for easy multi-GPU kernel development, and enhanced control over graph break handling in torch.compile. It expands wheel support for AMD ROCm, Intel XPU, and CUDA 13, adds FlexAttention optimizations on Intel GPUs and X86 CPUs, and improves Arm platform performance wi...
https://pytorch.org/blog/pytorch-2-9/
Neural Networks: Simpler Than You Think
The post presents a straightforward implementation of a neural network from scratch in Python, explaining core concepts such as neurons, layers, weights, biases, activation functions, and training through backpropagation. It demonstrates building and training a simple neural network to approximate a sine wave, highlighting that despite its simplicity, the network can learn complex patter...
https://www.hamza.se/blog/neural-networks
The post presents a straightforward implementation of a neural network from scratch in Python, explaining core concepts such as neurons, layers, weights, biases, activation functions, and training through backpropagation. It demonstrates building and training a simple neural network to approximate a sine wave, highlighting that despite its simplicity, the network can learn complex patter...
https://www.hamza.se/blog/neural-networks
Hamza's Portfolio & Blog
Neural Networks: Simpler Than You Think | Hamza's Blog
A walkthrough of implementing a neural network from scratch in Python, exploring what makes these seemingly complex systems actually quite straightforward.