Python & Python Library with Artificial Intelligence Programming: A Practical Guide to Python Programming, Essential Libraries, Artificial Intelligence, Machine Learning, Data Science, Automation and Real-World Projects
Par šo e-grāmatu
Python & Python Library with Artificial Intelligence is a complete and practical guide designed for students, developers, data scientists, AI enthusiasts, and professionals who want to master Python programming and leverage its powerful libraries for Artificial Intelligence and Machine Learning applications.
The book begins with Python fundamentals, covering variables, data types, operators, control structures, functions, modules, file handling, exception handling, and object-oriented programming. It then introduces essential Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, OpenCV, NLTK, and many others used in modern AI development.
Readers will explore the core concepts of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and intelligent automation. Through step-by-step examples, practical exercises, case studies, and real-world projects, this book helps learners build AI-powered applications using industry-standard tools and frameworks.
Whether you are a beginner entering the world of programming or an experienced developer seeking AI expertise, this book provides a structured path from Python basics to advanced Artificial Intelligence solutions.
Key Topics Covered
Python Programming Fundamentals
Variables, Data Types, and Operators
Control Statements and Loops
Functions and Modules
Object-Oriented Programming (OOP)
Exception Handling and File Processing
NumPy for Numerical Computing
Pandas for Data Analysis
Matplotlib and Seaborn for Data Visualization
Scikit-learn for Machine Learning
TensorFlow and Keras for Deep Learning
Natural Language Processing (NLP)
Computer Vision with OpenCV
Artificial Intelligence Fundamentals
Machine Learning Algorithms
Neural Networks and Deep Learning Models
AI-Powered Applications and Automation
Real-World AI Projects and Case Studies
Best Practices for Python and AI Development
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Par autoru
Arvind Choudhary is an experienced Software Developer, Corporate Trainer, and Technology Mentor from India with around 12 years of professional experience in the IT industry. He has worked extensively for 8 years as a developer and 4 years as a corporate trainer, helping students, professionals, and organizations build strong technical skills in modern software technologies.
He specializes in Java Full Stack Development, Python Full Stack Development, MERN Stack, Flutter, Android Development, Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Agentic AI, AI Agents, and Android Firmware Development.
Throughout his career, Arvind Choudhary has trained and mentored numerous students and working professionals through live projects, practical implementation, industry-focused training, and real-world application development. His teaching approach focuses on simplifying complex technical concepts into easy-to-understand practical learning experiences.
As an author and trainer, he is passionate about sharing knowledge in emerging technologies including Generative AI, AI Automation, Prompt Engineering, Large Language Models (LLMs), and modern software engineering practices. His goal is to help learners become industry-ready developers and technology innovators.
Arvind Choudhary continues to contribute to the technology community through technical training, content creation, software development, and educational initiatives focused on next-generation technologies.
