production-ready Python frameworks - scikit-learn and TensorFlow. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data and gain deeper business insight, ...

Lesson plans and code walkthroughs for each pattern. Example-driven explanations optimized for learning and memory. Markdown-formatted versions ideal for study or RAG ingestion.

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and ...

The instructor uses the Anaconda distribution of Python and writes code in Jupyter Notebook. She doesn’t skip over any of the building blocks of the language and her lessons are nicely paced and ...

We've rounded up the best laptops for programming that we've reviewed - and what I'm looking for are lightweight, portable models with plenty of power, displays that won't cause eye-strain, and ...

In this paper the identification of design patterns from source code is described to improve the reusability of software. The methodology for parsing scheme to recover the design pattern from the ...

Abstract: Diagnostic trouble codes (DTCs) are steadily produced by a vehicle's control ... In fact, a concrete problem can mostly be diagnosed if an already known pattern of DTCs is present. However, ...