handcalcs on GitHub forallpeople on GitHub handcalcsstats: downloads 115k JOIN THE WAITLIST NOW Python for Structural Engineers is amongthe best courses I have taken since graduate school. I am challenged by the material, learning a lot, and am seeingdirect practical applications. ...
handcalcs on GitHub forallpeople on GitHub handcalcs stats: downloads 115kJOIN THE WAITLIST NOW Python for Structural Engineers is among the best courses I have taken since graduate school. I am challenged by the material, learning a lot, and am seeing direct practical applications. Dr. Eva La...
This particular repository aims in providing as well another resource for structural engineers or any other curious mind with a simple algorithm that can be easily replicated and applied. The whole process can be read directly in the script and compared with the manuals and standards published by ...
for monitoring neural network training beyond conventional methods like loss and accuracy metrics.Blog Modernisation with Claude: A Python Makeover: Describes how the author modernised his 18-year-old Python blog generator using Claude AI, improving it with Poetry, pre-commit hooks, GitHub Actions, ...
Image courtesy:https://github.com/getsentry/sentry Sentry is a bit more commercial among these open-sourced projects in this top list. It is a "developer-first" platform for error tracking and performance monitoring. Basically, the developers could use this tool to monitor the health of their ...
https://pystra.github.io/pystra/ Support email for questionscolin.caprani@monash.edu 1. Motivation and significance Structural reliability engineering consists of methods for assessing the degree of safety of built infrastructure such as buildings, bridges, and power plants. Infrastructure safety is ev...
Featured Toptal Python Publications Using an LLM API As an Intelligent Virtual Assistant for Python Development ByTarek Mohamed Mehrez Advancing AI Image Labeling and Semantic Metadata Collection ByNeven Pičuljan Top Python Developers Are in High Demand. ...
The function get_clean_data is responsible for getting data from source, cleaning it, and returning it to the caller. How do we test this function? One way of doing this is to call it and then make sure that load_data was called once with source as its only argument. Then we have ...
To make these proceedings easy for software engineers, the use ofprogramming frameworksis ideal. Thus, frameworks don’t only keep your development procedures in order but also provide an appropriate basic structural support to your coding.
This book is for machine learning engineers, data scientists, and machine learning researchers looking to extend their data science toolkit and explore causal machine learning. It will also help developers familiar with causality who have worked in another technology and want to switch to Python, and...