000			05023nam a22002177a 4500
999			_c5007 _d5007
005			20230322103746.0
008			230322b ||||| |||| 00| 0 eng d
020			_a9789351198147
082			_a005.133 _bDOW
100			_aDowney, Allen _911457
245			_aLearning with Python
260			_bWiley India Pvt. Ltd. _aNew Delhi _c2016
300			_axxviii, 250 p.
365			_aINR _b369.00
504			_aTable of content 1. The way of the program The Python programming language What is a program? What is debugging? Formal and natural languages The first program 2. Variables, expressions and statements Values and types Variables Variable names and keywords Statements Evaluating expressions Operators and operands Order of operations Operations on strings Composition Comments 3. Functions Function calls Type conversion Type coercion Math functions Composition Adding new functions Definitions and use Flow of execution Parameters and arguments Variables and parameters are local Stack diagrams Functions with results 4. Conditionals and recursion The modulus operator Boolean expressions Logical operators Conditional execution Alternative execution Chained conditionals Nested conditionals The return statement Recursion Stack diagrams for recursive functions Infinite recursion Keyboard input 5. Fruitful functions Return values Program development Composition Boolean functions More recursion Leap of faith One more example Checking types 6. Iteration Multiple assignment The while statement Tables Two-dimensional tables Encapsulation and generalization More encapsulation Local variables More generalization Functions 7. Strings A compound data type Length Traversal and the for loop String slices String comparison Strings are immutable A find function Looping and counting The string module Character classification 8. Lists List values Accessing elements List length List membership Lists and for loops List operations List slices Lists are mutable List deletion Objects and values Aliasing Cloning lists List parameters Nested lists Matrices Strings and lists 9. Tuples Mutability and tuples Tuple assignment Tuples as return values Random numbers List of random numbers Counting Many buckets A single-pass solution 10. Dictionaries Dictionary operations Dictionary methods Aliasing and copying Sparse matrices Hints Long integers Counting letters 11. Files and exceptions Text files Writing variables Directories Pickling Exceptions 12. Classes and objects User-defined compound types Attributes Instances as arguments Sameness Rectangles Instances as return values Objects are mutable Copying 13. Classes and functions Time Pure functions Modifiers Which is better? Prototype development versus planning Generalization Algorithms 14. Classes and methods Object-oriented features printTime Another example A more complicated example Optional arguments The initialization method Points revisited Operator overloading Polymorphism 15. Sets of objects Composition Card objects Class attributes and the str method Comparing cards Decks Printing the deck Shuffling the deck Removing and dealing cards 16. Inheritance Inheritance A hand of cards Dealing cards Printing a Hand The CardGame class OldMaidHand class OldMaidGame class 17. Linked lists Embedded references The Node class Lists as collections Lists and recursion Infinite lists The fundamental ambiguity theorem Modifying lists Wrappers and helpers The Linked List class Invariants 18. Stacks Abstract data types The Stack ADT. . . Implementing stacks with Python lists Pushing and popping Using a stack to evaluate postfix Parsing Evaluating postfix Clients and providers 19. Queues The Queue ADT Linked Queue Performance characteristics Improved Linked Queue Priority queue The Golfer class 20. Trees Building trees Traversing trees Expression trees Tree traversal Building an expression tree Handling errors The animal tree Debugging Syntax errors Runtime errors Semantic errors Creating a new data type Fraction multiplication Fraction addition Euclid’s algorithm Comparing fractions Taking it further
520			_aThe book is designed to introduce the important concepts of Python programming language in detail. The reader will be able to develop and execute the programs in Python. This book will also help the readers to learn about Functions, Recursion, Iterative Statements, Strings, Lists, Tuples, Dictionaries, Files and Exceptions, Classes and Objects, Methods, Inheritance, Linked Lists, Stacks, Queues and Trees.
650			_aMachine learning _92343
650			_aPython (Computer program language) _912417
650			_aBig data _9212
942			_2ddc _cBK