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Python Mastery Learn to Code and Build AI from Scratch [#1012806]
Python Mastery: Learn to Code and Build AI from Scratch: Start with the Basics, Create Real Applications, and Train AI Models Without Prior Experience
by Danny Vega
English | 2026 | ASIN: B0GKMVGDLS | 170 Pages | PDF | 74 MB
Go from zero to building real Python applications and training your own AI models. Python Mastery is your practical roadmap to modern programming and artificial intelligence-without confusion, fluff, or prior experience.
Book Summary
Python Mastery: Learn to Code and Build AI from Scratch is a hands-on guide designed to take you from foundational Python concepts to real-world software development and applied artificial intelligence. You'll start by learning how Python really works, how to write clean, professional code, and how to build practical programs that solve real problems.
As you progress, you'll move into automation, data processing, and professional development workflows before entering the world of machine learning and deep learning. The book introduces NumPy, pandas, and scikit-learn for data science and model building, then guides you into neural networks with PyTorch-showing you how AI systems are trained, evaluated, and deployed.
By the final chapters, you won't just understand Python-you'll be building intelligent applications, training models from scratch, and designing real AI systems. This book focuses on modern tools, current best practices, and practical implementation so you gain skills you can immediately apply.
Key Features & Benefits
* Learn modern Python programming from the ground up using clean, real-world code
* Build real applications, automation tools, and data-driven programs
* Train machine learning and neural network models from scratch
* Understand the full AI workflow, from raw data to deployed systems
* Designed for beginners and early-intermediate learners who want professional-level skills
Author Bio
Danny Vega is a technology author focused on teaching modern programming, software development, and artificial intelligence through clear, practical, project-driven learning.
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