| | Chapters (Titles) | | :--- | :--- | | Fundamentals | 1. Introduction to Python 2. Writing Our First Python Program 3. Datatypes in Python 4. Operators in Python 5. Input and Output 6. Control Statements | | Core Python | 7. Arrays in Python 8. Strings and Characters 9. Functions 10. Lists and Tuples 11. Dictionaries | | Object-Oriented Prog. | 12. Introduction to OOPS 13. Classes and Objects 14. Inheritance and Polymorphism 15. Abstract Classes and Interfaces | | Intermediate Topics | 16. Exceptions 17. Files in Python 18. Regular Expressions in Python | | Advanced Python | 19. Data Structures in Python 20. Date and Time 21. Threads 22. Graphical User Interface 23. Networking in Python 24. Python's Database Connectivity 25. Data Science Using Python |
In the ever-evolving landscape of programming languages, Python has secured its throne as the go-to language for beginners and experts alike. From web development to data science and artificial intelligence, Python’s simplicity and power are undeniable. However, the journey from novice to proficient coder hinges on one critical factor:
Fully updated to eliminate legacy Python 2.x syntax, focusing exclusively on modern Python environments.
"Core Python Programming" by R. Nageswara Rao is a trusted, comprehensive, and well-structured textbook that can serve as an excellent guide on your Python journey. While the temptation to find a "PDF new" for free is understandable, supporting the author and publisher by purchasing a legitimate copy is the right and legal choice, ensuring the continued creation of quality educational resources. Whether you choose this book or one of the excellent alternatives, the most important step is to start coding and practicing consistently. core python programming by r nageswara rao pdf new
Core Python Programming by is a comprehensive guide designed for both beginners starting from scratch and professionals seeking a reliable reference. The latest edition (3rd Edition, 2021) expands on foundational concepts to include advanced topics such as data science and networking. Key Features and Content
The new edition spans from basic fundamentals to specialized data science topics: PYTHON PROGRAMMING [R18A0513]
Exceptional, granular coverage of Object-Oriented Programming concepts, which is often a pain point for beginners. | | Chapters (Titles) | | :--- | :--- | | Fundamentals | 1
Slicing, indexing, nested lists, and memory efficiency.
: Written in easy-to-understand English to help students grasp intricate logic.
| Feature | Rao’s Book | "Automate the Boring Stuff" (Sweigart) | "Learning Python" (Lutz) | | :--- | :--- | :--- | :--- | | | College students, test-takers | Absolute beginners, hobbyists | Hardcore developers | | Depth | Medium-High | Low | Very High (encyclopedic) | | Exercises | Excellent (topic-wise & lab exams) | Project-based | Minimal | | Price Range | Moderate (affordable in INR) | Free online (CC license) | Expensive | | Indian Syllabus | Matches AICTE/UPTU exactly | No | No | | Latest Edition | Python 3.10+ (new) | Python 3.x | Python 3.x | Datatypes in Python 4
The review questions are specifically designed to mimic technical interview rounds. Try to solve them without looking back at the text.
| Edition | Publisher | Year | ISBN | Pages | | :--- | :--- | :--- | :--- | :--- | | 3rd Edition | Dreamtech Press | 2021-2022 | 9789390457151 | ~765 pages | | 2nd Edition | Dreamtech/Wiley | 2018-2019 | 9789386052308 | 733 pages | | 1st Edition | Dreamtech Press | 2017 | 9789351199427 | 715 pages |
Dr. R. Nageswara Rao is an experienced computer science educator and author of other successful programming books like "Core Java – An Integrated Approach" and "Core C" . With a teaching career starting in 1993, he has taught at various universities and as a freelance developer. His aim is to teach Python to both college students and professionals.
"As a university instructor, I have recommended Dr. Rao's book for years. Its coverage is exhaustive, and the solved problems are perfectly tailored for our syllabus. Students consistently perform better after studying from this text." –