PythonHub

I wrote a Python script which can generate any city from the real world in Minecraft https://www.reddit.com/r/Python/comments/xtmxsp/i_wrote_a_python_script_which_can_generate_any/

alibaba / EasyCV An all-in-one toolkit for computer vision https://github.com/alibaba/EasyCV

Use pandas DateOffsets for easy date manipulation An easy way to manipulate dates is pandas DateOffsets. They handle a number of complicated scenarios, including holidays. https://www.wrighters.io/use-pandas-dateoffsets-for-easy-date-manipulation/

High-performance image generation using Stable Diffusion in KerasCV In this guide, we will show how to generate novel images based on a text prompt using the KerasCV implementation of stability.ai's text-to-image model, Stable Diffusion. https://keras.io/guides/keras_cv/generate_images_with_stable_diffusion/

Conda vs. Pip, Venv, and Pyenv — Simplicity Wins Conda is a slick, integrated utility that replaces many other tools. We compare them and include a ... https://codesolid.com/conda-vs-pip/

How I deploy my bootstrapped Python webapp with 150k monthly users https://www.reddit.com/r/Python/comments/xobba8/how_i_deploy_my_bootstrapped_python_webapp_with/

utorial: Scrape Google Search Results One neat little trick it can do is scrape Google search results. https://www.scrapingdog.com/blog/scrape-google-search-results/

Automated Deployment of TensorFlow Models with TensorFlow Serving and GitHub Actions In this post, we will share how we serve a TensorFlow image classification model as RESTful and gRPC based services with TensorFlow Serving on a Kubernetes (k8s) cluster running on Google Kubernetes Engine (GKE) through a set of GitHub Actions workflow https://blog.tensorflow.org/2022/09/automated-deployment-of-tensorflow-models-with-tensorflow-serving-and-github-actions.html

Making Python fast for free – adventures with mypyc https://blog.meadsteve.dev/programming/2022/09/27/making-python-fast-for-free/

Show HN: Refurb – A tool for refurbishing and modernizing Python codebases https://github.com/dosisod/refurb

The Definitive Guide to Graph Problems Do you want to learn how to solve graph problems? Are you preparing for a coding interview? Do you want to polish your problem-solving skills? In this article I will try to answer these questions and more, and you will learn the patterns necessary to deal with these problems. https://www.giulianopertile.com/blog/the-definitive-guide-to-graph-problems/

EvanLi / Github-Ranking ⭐Github Ranking⭐ — Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. https://github.com/EvanLi/Github-Ranking

jquesnelle / txt2imghd A port of GOBIG for Stable Diffusion https://github.com/jquesnelle/txt2imghd

CodeGeeX An Open Multilingual Code Generative Model. https://github.com/THUDM/CodeGeeX

How to Build the World's Ugliest Podcast Search Engine with Python In this post, you'll learn how to search podcast episode transcripts to find words and phrases that were discussed. https://blog.deepgram.com/podcast-search-engine/

Guido was right, there should be no lambda in Python (2018) https://pbrown.me/blog/vslambda/

5 ways to schedule Jupyter Notebook Jupyter Notebook is an excellent tool for creating computational documents. There is often a requirement to update the notebook’s results at a selected time interval and publish it to the rest of the team. This post summarizes five different approaches for Jupyter Notebook scheduling. https://mljar.com/blog/schedule-jupyter-notebook/

Show HN: OpenZiti Python SDK https://openziti.io/openziti-python-sdk-introduction

Image segmentation In this article, we will define image segmentation, discover the right metrics to use in these tasks, build an end-to-end pipeline that can be used as a template for handling image segmentation problems, and talk about some useful applications of it. https://blog.paperspace.com/image-segmentation-using-segmentation_models_pytorch/

Infrastructure-as-Code: Easy Cloud Deployment In Python Depending on the technology and type of cloud product you choose, cloud deployment can be intimidating, but it's often not that complex. This video walks you through a couple of fairly simple methods for deploying an application, that don't call for a deep understanding of DevOps and are quick and easy to implement. https://www.youtube.com/watch?v=YGcd0lAQCl8