Do the 2026 #python developers survey https://surveys.jetbrains.com/s3/python-developers-survey-2026
"How to Install Odoo 19 on Ubuntu 24.04"
"Odoo is a popular open-source suite of business apps for CRM, e-commerce, accounting, and more. Learn how to install and deploy Odoo 19 inside a Python virtual environment on Ubuntu 24.04."
https://linuxize.com/post/how-to-install-odoo-on-ubuntu-24-04/
I’ve just filled in the Python Developers Survey 2026 ✅
If you use Python at work or in your projects, it’s worth a few minutes. Python is a community-driven project, and this is one of the ways our voices actually get heard. 📢
Please take part 👇
https://pyfound.blogspot.com/2026/01/your-python-your-voice-join-python.html?m=1

Python Tip #29 (of 365):
When processing small files line-by-line, just read the whole thing into memory.
Reading files line-by-line with a "for" loop is a good practice if your files might be large, but for small files it's often faster to just read the whole file all at once and then call the splitlines() method:
lines = file.read().splitlines()
That should be pretty fast for kilobytes (or even megabytes) of data.
But... why use read() instead of looping?
🧵(1/2)
I lost four nights of sleep to one missing semicolon.
Python lets you redefine functions but it replaces the original.
Python picked double underscores for special names, and I hate it.
Imported cowsay in Python, said Hello world, and it worked.
How do I get #python #ctypes to understand a packed C structure on Linux-y x86_64&macOS w/ gcc and clang? I have:
typedef struct {
int index;
double score;
} __attribute__((__packed__)) hit;
For years I've used:
class Hit(ctypes.Structure):
_fields_ = [
("index", _ctypes.c_int32),
("score", _ctypes.c_double)]
_pack_ = 4
I started migrating to Python 3.14. It warns _pack_ requires _layout_ = "ms" for Microsoft layout.
Is that enough or do I also need __attribute__((ms_struct)) in C?
S1 EP19 Lab 2 - Machine Learning in Python - Python Tuple Unpacking - for Beginners #statistics #datascience #PythonForDataScience #dataengineering #softwaredeveloper #codingforbeginners #machinelearningbasics #machinelearningtutorial #mlforbeginners #machinelearning #learnpython #jupyterlabs #learntocode #algorithims #pythoncoding #python #machinelearningmodels #jupyternotebook #datascienceforbeginners #vscode
Chia sẻ mã code nhỏ cho Homelab! Một số script python hữu ích cho Emby Server. #Homelab #Script #Python #EmbyServer #TựHOST #MãCode #PhầnMềmMiễnPhí #CodeSnippets #SelfHosted
https://www.reddit.com/r/selfhosted/comments/1qqiywk/scripts_share_your_small_snippets_of_code_that/
Parallelism is one source of speed, but not the only one! In this article I demonstrate using it with NumPy, and how additional speedups are possible in other ways.
https://pythonspeed.com/articles/numpy-parallelism/