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Think Python. How to Think Like a Computer Scientist. 2nd Edition - Helion

Think Python. How to Think Like a Computer Scientist. 2nd Edition
ebook
Autor: Allen B. Downey
ISBN: 978-14-919-3941-3
stron: 292, Format: ebook
Data wydania: 2015-12-02
Ksi─Ögarnia: Helion

Cena ksi─ů┼╝ki: 143,65 z┼é (poprzednio: 167,03 z┼é)
Oszczędzasz: 14% (-23,38 zł)

Dodaj do koszyka Think Python. How to Think Like a Computer Scientist. 2nd Edition

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3.

Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser.

  • Start with the basics, including language syntax and semantics
  • Get a clear definition of each programming concept
  • Learn about values, variables, statements, functions, and data structures in a logical progression
  • Discover how to work with files and databases
  • Understand objects, methods, and object-oriented programming
  • Use debugging techniques to fix syntax, runtime, and semantic errors
  • Explore interface design, data structures, and GUI-based programs through case studies

Dodaj do koszyka Think Python. How to Think Like a Computer Scientist. 2nd Edition

 

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Dodaj do koszyka Think Python. How to Think Like a Computer Scientist. 2nd Edition

Spis tre┼Ťci

Think Python. How to Think Like a Computer Scientist. 2nd Edition eBook -- spis treÂci

  • Preface
    • The Strange History of This Book
    • Conventions Used in This Book
    • Using Code Examples
    • Safari Books Online
    • How to Contact Us
    • Acknowledgments
    • Contributor List
  • 1. The Way of the Program
    • What Is a Program?
    • Running Python
    • The First Program
    • Arithmetic Operators
    • Values and Types
    • Formal and Natural Languages
    • Debugging
    • Glossary
    • Exercises
  • 2. Variables, Expressions and Statements
    • Assignment Statements
    • Variable Names
    • Expressions and Statements
    • Script Mode
    • Order of Operations
    • String Operations
    • Comments
    • Debugging
    • Glossary
    • Exercises
  • 3. Functions
    • Function Calls
    • Math Functions
    • Composition
    • Adding New Functions
    • Definitions and Uses
    • Flow of Execution
    • Parameters and Arguments
    • Variables and Parameters Are Local
    • Stack Diagrams
    • Fruitful Functions and Void Functions
    • Why Functions?
    • Debugging
    • Glossary
    • Exercises
  • 4. Case Study: Interface Design
    • The turtle Module
    • Simple Repetition
    • Exercises
    • Encapsulation
    • Generalization
    • Interface Design
    • Refactoring
    • A Development Plan
    • docstring
    • Debugging
    • Glossary
    • Exercises
  • 5. Conditionals and Recursion
    • Floor Division and Modulus
    • Boolean Expressions
    • Logical Operators
    • Conditional Execution
    • Alternative Execution
    • Chained Conditionals
    • Nested Conditionals
    • Recursion
    • Stack Diagrams for Recursive Functions
    • Infinite Recursion
    • Keyboard Input
    • Debugging
    • Glossary
    • Exercises
  • 6. Fruitful Functions
    • Return Values
    • Incremental Development
    • Composition
    • Boolean Functions
    • More Recursion
    • Leap of Faith
    • One More Example
    • Checking Types
    • Debugging
    • Glossary
    • Exercises
  • 7. Iteration
    • Reassignment
    • Updating Variables
    • The while Statement
    • break
    • Square Roots
    • Algorithms
    • Debugging
    • Glossary
    • Exercises
  • 8. Strings
    • A String Is a Sequence
    • len
    • Traversal with a for Loop
    • String Slices
    • Strings Are Immutable
    • Searching
    • Looping and Counting
    • String Methods
    • The in Operator
    • String Comparison
    • Debugging
    • Glossary
    • Exercises
  • 9. Case Study: Word Play
    • Reading Word Lists
    • Exercises
    • Search
    • Looping with Indices
    • Debugging
    • Glossary
    • Exercises
  • 10. Lists
    • A List Is a Sequence
    • Lists Are Mutable
    • Traversing a List
    • List Operations
    • List Slices
    • List Methods
    • Map, Filter and Reduce
    • Deleting Elements
    • Lists and Strings
    • Objects and Values
    • Aliasing
    • List Arguments
    • Debugging
    • Glossary
    • Exercises
  • 11. Dictionaries
    • A Dictionary Is a Mapping
    • Dictionary as a Collection of Counters
    • Looping and Dictionaries
    • Reverse Lookup
    • Dictionaries and Lists
    • Memos
    • Global Variables
    • Debugging
    • Glossary
    • Exercises
  • 12. Tuples
    • Tuples Are Immutable
    • Tuple Assignment
    • Tuples as Return Values
    • Variable-Length Argument Tuples
    • Lists and Tuples
    • Dictionaries and Tuples
    • Sequences of Sequences
    • Debugging
    • Glossary
    • Exercises
  • 13. Case Study: Data Structure Selection
    • Word Frequency Analysis
    • Random Numbers
    • Word Histogram
    • Most Common Words
    • Optional Parameters
    • Dictionary Subtraction
    • Random Words
    • Markov Analysis
    • Data Structures
    • Debugging
    • Glossary
    • Exercises
  • 14. Files
    • Persistence
    • Reading and Writing
    • Format Operator
    • Filenames and Paths
    • Catching Exceptions
    • Databases
    • Pickling
    • Pipes
    • Writing Modules
    • Debugging
    • Glossary
    • Exercises
  • 15. Classes and Objects
    • Programmer-Defined Types
    • Attributes
    • Rectangles
    • Instances as Return Values
    • Objects Are Mutable
    • Copying
    • Debugging
    • Glossary
    • Exercises
  • 16. Classes and Functions
    • Time
    • Pure Functions
    • Modifiers
    • Prototyping versus Planning
    • Debugging
    • Glossary
    • Exercises
  • 17. Classes and Methods
    • Object-Oriented Features
    • Printing Objects
    • Another Example
    • A More Complicated Example
    • The init Method
    • The __str__ Method
    • Operator Overloading
    • Type-Based Dispatch
    • Polymorphism
    • Interface and Implementation
    • Debugging
    • Glossary
    • Exercises
  • 18. Inheritance
    • Card Objects
    • Class Attributes
    • Comparing Cards
    • Decks
    • Printing the Deck
    • Add, Remove, Shuffle and Sort
    • Inheritance
    • Class Diagrams
    • Data Encapsulation
    • Debugging
    • Glossary
    • Exercises
  • 19. The Goodies
    • Conditional Expressions
    • List Comprehensions
    • Generator Expressions
    • any and all
    • Sets
    • Counters
    • defaultdict
    • Named Tuples
    • Gathering Keyword Args
    • Glossary
    • Exercises
  • 20. Debugging
    • Syntax Errors
      • I keep making changes and it makes no difference.
    • Runtime Errors
      • My program does absolutely nothing.
      • My program hangs.
        • Infinite loop
        • Infinite recursion
        • Flow of execution
      • When I run the program I get an exception.
      • I added so many print statements I get inundated with output.
    • Semantic Errors
      • My program doesnt work.
      • Ive got a big hairy expression and it doesnt do what I expect.
      • Ive got a function that doesnt return what I expect.
      • Im really, really stuck and I need help.
      • No, I really need help.
  • 21. Analysis of Algorithms
    • Order of Growth
    • Analysis of Basic Python Operations
    • Analysis of Search Algorithms
    • Hashtables
    • Glossary
  • Index

Dodaj do koszyka Think Python. How to Think Like a Computer Scientist. 2nd Edition

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