Python Programming: A modular approach with graphics, database, mobile and web applications
By: Taneja, Sheetal.
Contributor(s): Kumar, Naveen.
Material type: BookPublisher: Chennai Pearson India Education Services Pvt. Ltd. 2019Description: 582.ISBN: 978-93-325-8534-8.Subject(s): Computer Science Engineering | ProgrammingDDC classification: 005.133Item type | Current location | Call number | Status | Date due | Barcode |
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Books | BSDU Knowledge Resource Center, Jaipur General Stacks | 005.133 TAN (Browse shelf) | Available | 017647 |
Browsing BSDU Knowledge Resource Center, Jaipur Shelves , Shelving location: General Stacks Close shelf browser
005.133 SEV Python for Everybody :Exploring Data Using Python 3 | 005.133 SHA Web Development | 005.133 SOL Programming Computer Vision With Python | 005.133 TAN Python Programming: A modular approach with graphics, database, mobile and web applications | 005.133 THE Python Programming: Using problem solving approach | 005.14 AMM Introduction to Software Testing | 005.14 SIN Software Testing |
Python Programming introduces one of the most rapidly evolving and preferred programming
language using the concept of modularity. One of the highlights of the text is its in-depth
treatment of basic concepts. Advanced topics are discussed with multiple examples of
applications from various fields such as database management, web and, mobile application
development.1. A chapter on debugging ? an essential skill for making the programs work
2. Includes basic sorting and searching techniques? selection sort, bubble sort, insertion sort,
merge sort, quick sort, and linear and binary search
3. Comprehensive treatment of recursion, including problems such as list manipulation, Tower
of Hanoi, permutation generation, n-queens? problem, Sudoku, and plotting Hilbert curves
4. Margin notes and chapter summary for quick review of the concepts
Contents:
1. Python Programming: An Introduction
2. Functions
3. Control Structures
4. Debugging
5. Scope
6. Strings
7. Mutable and Immutable Objects
8. Recursion
9. Files and Exceptions
10. Classes I
11. Classes II
12. List Manipulation
13. Data Structures I: Stack and Queues
14. Data Structures II: Linked Lists
15. Data Structures III: Binary Search Trees
16. More On Recursion
17. Graphics
18. Applications of Python
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