Generative Programming And Component Engineering

Machine Learning in practice with Python’s own scikit-learn on real-world datasets!

Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.

Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.

Practical Oriented Explanations by solving more than 80 projects with Numpy, Scikit-learn, Pandas, Matplotlib, Pytorch.

CATIA automation via Python scripts

CATIA automation via Python scripts

Apply Machine Learning techniques to solve real-world problems with Python, scikit-learn and TensorFlow

Learn AI, Machine Learning, Deep Learning, Neural Networks and more in a weekend! No coding or tech background needed!

Unlock the future with AI — from foundational concepts to practical AWS deployment in one comprehensive course.