Custom Application Metrics with Django, Prometheus, and Kubernetes
https://labs.meanpug.com/custom-application-metrics-with-django-prometheus-and-kubernetes/
https://labs.meanpug.com/custom-application-metrics-with-django-prometheus-and-kubernetes/
MeanPug Digital
Custom Application Metrics with Django, Prometheus, and Kubernetes
Learn how to instrument your Django application with custom Prometheus metrics and deploy to a Kubernetes cluster.
Python tricks 101, what every new programmer should know.
https://towardsdatascience.com/python-tricks-101-what-every-new-programmer-should-know-c512a9787022
https://towardsdatascience.com/python-tricks-101-what-every-new-programmer-should-know-c512a9787022
Medium
Python tricks 101, what every new programmer should know.
These are the things I wish I knew about Python when I started.
Python Multiprocessing Tutorial: Run Code in Parallel Using the Multiprocessing Module
https://www.youtube.com/watch?v=fKl2JW_qrso
https://www.youtube.com/watch?v=fKl2JW_qrso
YouTube
Python Multiprocessing Tutorial: Run Code in Parallel Using the Multiprocessing Module
In this video, we will be learning how to use multiprocessing in Python.
This video is sponsored by Brilliant. Go to https://brilliant.org/cms to sign up for free. Be one of the first 200 people to sign up with this link and get 20% off your premium subscription.…
This video is sponsored by Brilliant. Go to https://brilliant.org/cms to sign up for free. Be one of the first 200 people to sign up with this link and get 20% off your premium subscription.…
100+ Coding Interview Questions for Programmers
https://codeburst.io/100-coding-interview-questions-for-programmers-b1cf74885fb7
https://codeburst.io/100-coding-interview-questions-for-programmers-b1cf74885fb7
Medium
100+ Coding Interview Questions for Programmers and Software Engineers in 2025
Solve these frequently asked coding problems to do well on your next programming job interviews.
Speeding up Python Code: Fast Filtering and Slow Loops
https://towardsdatascience.com/speeding-up-python-code-fast-filtering-and-slow-loops-8e11a09a9c2f
https://towardsdatascience.com/speeding-up-python-code-fast-filtering-and-slow-loops-8e11a09a9c2f
Medium
Speeding up Python Code: Fast Filtering and Slow Loops
List comprehensions, boolean indexing and just-in-time (JIT) compilation for up to 200x speed up.
Forwarded from Machinelearning
Torchdata is PyTorch oriented library focused on data processing and input pipelines in general
https://github.com/szymonmaszke/torchdata
https://github.com/szymonmaszke/torchdata
GitHub
GitHub - szymonmaszke/torchdatasets: PyTorch dataset extended with map, cache etc. (tensorflow.data like)
PyTorch dataset extended with map, cache etc. (tensorflow.data like) - szymonmaszke/torchdatasets
Working Around Memory Leaks in Your Django Application
https://adamj.eu/tech/2019/09/19/working-around-memory-leaks-in-your-django-app/
https://adamj.eu/tech/2019/09/19/working-around-memory-leaks-in-your-django-app/
How to master Python’s main data analysis library in 20 Minutes
https://towardsdatascience.com/how-to-master-pandas-8514f33f00f6
https://towardsdatascience.com/how-to-master-pandas-8514f33f00f6
Medium
How to master Python’s main data analysis library in 20 Minutes
A code-along guide for essential Pandas functionalities.
Django on Docker Tutorial - A Simple Introduction
https://www.codingforentrepreneurs.com/blog/django-on-docker-a-simple-introduction
video :https://www.youtube.com/watch?v=KaSJMDo-aPs
https://www.codingforentrepreneurs.com/blog/django-on-docker-a-simple-introduction
video :https://www.youtube.com/watch?v=KaSJMDo-aPs
Coding for Entrepreneurs
Django on Docker - A Simple Introduction - Blog - Coding for Entrepreneurs
This is a simple tutorial but it isn't exactly for beginners. It's for people w…
Filtering & Closing Pull Requests on GitHub using the API
https://pythontips.com/2019/09/18/filtering-closing-pull-requests-on-github-using-the-api
https://pythontips.com/2019/09/18/filtering-closing-pull-requests-on-github-using-the-api
yasoob.me
Filtering & Closing Pull Requests on GitHub using the API - Yasoob Khalid
Hi everyone! 👋 In this post, I am going to show you how you can use the GitHub API to query Pull Requests, check the content of a PR and close it.
The motivation for this project came from my personal website. I introduced static comments on the website using…
The motivation for this project came from my personal website. I introduced static comments on the website using…
Python Tips and Trick, You Haven’t Already Seen
https://towardsdatascience.com/python-tips-and-trick-you-havent-already-seen-37825547544f?source=---------5-----------------------
https://towardsdatascience.com/python-tips-and-trick-you-havent-already-seen-37825547544f?source=---------5-----------------------
Medium
Python Tips and Trick, You Haven’t Already Seen
There are plenty of articles written about lots of cool features in Python, but there is much more to talk about…
Forwarded from Machinelearning
CrypTen: A new research tool for secure machine learning with PyTorch
https://ai.facebook.com/blog/crypten-a-new-research-tool-for-secure-machine-learning-with-pytorch
code: https://github.com/facebookresearch/CrypTen
https://ai.facebook.com/blog/crypten-a-new-research-tool-for-secure-machine-learning-with-pytorch
code: https://github.com/facebookresearch/CrypTen
Meta
CrypTen: A new research tool for secure machine learning with PyTorch
Facebook AI is open-sourcing CrypTen, a research-focused framework to explore encrypted machine learning techniques in the PyTorch environment.
Django Projects – 99 ideas for beginners
https://startcodingnow.com/django-projects-ideas-for-beginners/
https://startcodingnow.com/django-projects-ideas-for-beginners/
Create custom plots in PyQt with PyQtGraph
https://www.learnpyqt.com/courses/graphics-plotting/plotting-pyqtgraph/
https://www.learnpyqt.com/courses/graphics-plotting/plotting-pyqtgraph/
Python GUIs
Plotting in PyQt5 — Using PyQtGraph to create interactive plots in your apps
Create custom plots in PyQt with PyQtGraph. One of the major strengths of Python is in exploratory data science and visualization, using tools such as Pandas, numpy, sklearn for data analysis and matplotlib plotting.