PythonHub
2.44K subscribers
2.35K photos
49.4K links
News & links about Python programming.
https://pythonhub.dev/
Download Telegram
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
👍1
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/
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/
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
👍1
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
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