DataCamp is geared towards data science and analytics, offering specialized Python tracks with practical exercises using ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first ...

NotebookLM made complex topics manageable and proved that targeted learning is the key to mastering any skill quickly. If you want to transform your own Excel practice, don’t just search for a list of ...

Abstract: With the advent of new-generation depth sensors, the use of three-dimensional (3-D) data is becoming increasingly popular. As these sensors are commodity hardware and sold at low cost, a ...

The first section is an intentionally brief, functional, data science centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

Two sets of SageMaker notebooks and entry point scripts to develop the Headpose Estimator model on Amazon SageMaker. HeadPose_SageMaker_PySDK.ipynb: SageMaker notebook to invoke an entry point python ...