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News & links about Python programming.
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Build ChatGPT-like Apps with AI

If you're interested in the practical applications of AI and Large Language Models (LLMs), you'll find value in this talk and live demo. The presentation goes beyond theory to include real-world examples and best practices, including a GitHub repository packed with Python code and ChatGPT-like app examples that will help you spin up your own app.

https://sixfeetup.com/company/news/build-chatgpt-like-apps-with-ai
De4py

De4py are an Advanced python deobfuscator with a beautiful UI and a set of Advanced features that enables malware analysts and reverse engineers to deobfuscate python files and more.

https://github.com/Fadi002/de4py
Generate images in one second on your Mac using a latent consistency model

Latent consistency models (LCMs) are based on Stable Diffusion, but they can generate images much faster, needing only 4 to 8 steps for a good image (compared to 25 to 50 steps). By running an LCM on your M1 or M2 Mac you can generate 512x512 images at a rate of one per second.

https://replicate.com/blog/run-latent-consistency-model-on-mac
Show HN: Jeeves – A Pythonic Alternative to GNU Make

https://jeeves.sh
Do not use requirements.txt

This post discusses the limitations of using requirements.txt for package management in Python projects. The author suggests using Poetry instead, which is a package manager that simplifies dependency management and provides additional features such as virtual environments and lock files.

https://quanttype.net/posts/2023-10-31-do-not-use-requirements.txt.html
7 Tips To Structure Your Python Data Science Projects

This video will cover 7 tips to streamline the structure of your Python data science projects. With the right setup and thoughtful software design, you'll be able to modify and enhance your projects more efficiently.

https://www.youtube.com/watch?v=xVuqDBCQAYc
Python obfuscation traps

In the realm of software development, open-source tools and packages play a pivotal role in simplifying tasks and accelerating development processes. Yet, as the community grows, so does the number of bad actors looking to exploit it. A recent example involves developers being targeted by seemingly legitimate Python obfuscation packages that harbor malicious code.

https://checkmarx.com/blog/python-obfuscation-traps/