Learning Python

Learning Python

Learning Python is an introduction to the increasingly popular Python programming language. Python is an interpreted, interactive, object-oriented scripting language. Python is growing in popularity because: It is available on all important platforms: Windows NT, Windows 95, Windows 98, Linux, all m...

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Bibliographic Details
Corporate Author: Safari Tech Books Online (-)
Other Authors: Lutz, Mark Author (author), Ascher, David Contributor (contributor)
Format: eBook
Language:Inglés
Published: [Place of publication not identified] : O'Reilly 1999.
Edition:First edition
Subjects:
Python (Computer program language)
Engineering & Applied Sciences
Computer Science
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627312406719
Table of Contents:
  • Intro
  • Table of Contents
  • Preface
  • About This Third Edition
  • This Edition's Python Language Changes
  • This Edition's Python Training Changes
  • This Edition's Structural Changes
  • This Edition's Scope Changes
  • About This Book
  • This Book's Prerequisites
  • This Book's Scope and Other Books
  • This Book's Style and Structure
  • Book Updates
  • About the Programs in This Book
  • Preparing for Python 3.0
  • About This Series
  • Using Code Examples
  • Font Conventions
  • Safari® Books Online
  • How to Contact Us
  • Acknowledgments
  • Part I
  • A Python Q&amp
  • A Session
  • Why Do People Use Python?
  • Software Quality
  • Developer Productivity
  • Is Python a "Scripting Language"?
  • OK, but What's the Downside?
  • Who Uses Python Today?
  • What Can I Do with Python?
  • Systems Programming
  • GUIs
  • Internet Scripting
  • Component Integration
  • Database Programming
  • Rapid Prototyping
  • Numeric and Scientific Programming
  • Gaming, Images, AI, XML, Robots, and More
  • What Are Python's Technical Strengths?
  • It's Object Oriented
  • It's Free
  • It's Portable
  • It's Powerful
  • It's Mixable
  • It's Easy to Use
  • It's Easy to Learn
  • It's Named After Monty Python
  • How Does Python Stack Up to Language X?
  • Chapter Summary
  • Quiz Answers
  • How Python Runs Programs
  • Introducing the Python Interpreter
  • Program Execution
  • The Programmer's View
  • Python's View
  • Byte code compilation
  • The Python Virtual Machine (PVM)
  • Performance implications
  • Development implications
  • Execution Model Variations
  • Python Implementation Alternatives
  • CPython
  • Jython
  • IronPython
  • Execution Optimization Tools
  • The Psyco just-in-time compiler
  • The Shedskin C++ translator
  • Frozen Binaries
  • Future Possibilities?
  • Chapter Summary
  • Quiz Answers
  • How You Run Programs
  • Interactive Coding
  • Using the Interactive Prompt.
  • System Command Lines and Files
  • Using Command Lines and Files
  • Unix Executable Scripts (#!)
  • Clicking File Icons
  • Clicking Icons on Windows
  • The raw_input Trick
  • Other Icon-Click Limitations
  • Module Imports and Reloads
  • The Grander Module Story: Attributes
  • Modules and namespaces
  • import and reload Usage Notes
  • The IDLE User Interface
  • IDLE Basics
  • Using IDLE
  • Advanced IDLE Tools
  • Other IDEs
  • Embedding Calls
  • Frozen Binary Executables
  • Text Editor Launch Options
  • Other Launch Options
  • Future Possibilities?
  • Which Option Should I Use?
  • Chapter Summary
  • Quiz Answers
  • Part II
  • Introducing Python Object Types
  • Why Use Built-in Types?
  • Python's Core Data Types
  • Numbers
  • Strings
  • Sequence Operations
  • Immutability
  • Type-Specific Methods
  • Getting Help
  • Other Ways to Code Strings
  • Pattern Matching
  • Lists
  • Sequence Operations
  • Type-Specific Operations
  • Bounds Checking
  • Nesting
  • List Comprehensions
  • Dictionaries
  • Mapping Operations
  • Nesting Revisited
  • Sorting Keys: for Loops
  • Iteration and Optimization
  • Missing Keys: if Tests
  • Tuples
  • Why Tuples?
  • Files
  • Other File-Like Tools
  • Other Core Types
  • How to Break Your Code's Flexibility
  • User-Defined Classes
  • And Everything Else
  • Chapter Summary
  • Quiz Answers
  • Numbers
  • Python Numeric Types
  • Numeric Literals
  • Built-in Numeric Tools and Extensions
  • Python Expression Operators
  • Mixed Operators Follow Operator Precedence
  • Parentheses Group Subexpressions
  • Mixed Types Are Converted Up
  • Preview: Operator Overloading
  • Numbers in Action
  • Variables and Basic Expressions
  • Numeric Display Formats
  • Division: Classic, Floor, and True
  • Bitwise Operations
  • Long Integers
  • Complex Numbers
  • Hexadecimal and Octal Notation
  • Other Built-in Numeric Tools
  • Other Numeric Types.
  • Decimal Numbers
  • Sets
  • Booleans
  • Third-Party Extensions
  • Chapter Summary
  • Quiz Answers
  • The Dynamic Typing Interlude
  • The Case of the Missing Declaration Statements
  • Variables, Objects, and References
  • Types Live with Objects, Not Variables
  • Objects Are Garbage-Collected
  • Shared References
  • Shared References and In-Place Changes
  • Shared References and Equality
  • Dynamic Typing Is Everywhere
  • Chapter Summary
  • Quiz Answers
  • Strings
  • String Literals
  • Single- and Double-Quoted Strings Are the Same
  • Escape Sequences Represent Special Bytes
  • Raw Strings Suppress Escapes
  • Triple Quotes Code Multiline Block Strings
  • Unicode Strings Encode Larger Character Sets
  • Strings in Action
  • Basic Operations
  • Indexing and Slicing
  • Extended slicing: the third limit
  • String Conversion Tools
  • Character code conversions
  • Changing Strings
  • String Formatting
  • Advanced String Formatting
  • Dictionary-Based String Formatting
  • String Methods
  • String Method Examples: Changing Strings
  • String Method Examples: Parsing Text
  • Other Common String Methods in Action
  • The Original string Module
  • General Type Categories
  • Types Share Operation Sets by Categories
  • Mutable Types Can Be Changed In-Place
  • Chapter Summary
  • Quiz Answers
  • Lists and Dictionaries
  • Lists
  • Lists in Action
  • Basic List Operations
  • Indexing, Slicing, and Matrixes
  • Changing Lists In-Place
  • Index and slice assignments
  • List method calls
  • Other common list operations
  • Dictionaries
  • Dictionaries in Action
  • Basic Dictionary Operations
  • Changing Dictionaries In-Place
  • More Dictionary Methods
  • A Languages Table
  • Dictionary Usage Notes
  • Using dictionaries to simulate flexible lists
  • Using dictionaries for sparse data structures
  • Avoiding missing-key errors
  • Using dictionaries as "records".
  • Other ways to make dictionaries
  • Chapter Summary
  • Quiz Answers
  • Tuples, Files, and Everything Else
  • Tuples
  • Tuples in Action
  • Tuple syntax peculiarities: commas and parentheses
  • Conversions and immutability
  • Why Lists and Tuples?
  • Files
  • Opening Files
  • Using Files
  • Files in Action
  • Storing and parsing Python objects in files
  • Storing native Python objects with pickle
  • Storing and parsing packed binary data in files
  • Other File Tools
  • Type Categories Revisited
  • Object Flexibility
  • References Versus Copies
  • Comparisons, Equality, and Truth
  • The Meaning of True and False in Python
  • Python's Type Hierarchies
  • Other Types in Python
  • Built-in Type Gotchas
  • Assignment Creates References, Not Copies
  • Repetition Adds One Level Deep
  • Beware of Cyclic Data Structures
  • Immutable Types Can't Be Changed In-Place
  • Chapter Summary
  • Quiz Answers
  • Part III
  • Introducing Python Statements
  • Python Program Structure Revisited
  • Python's Statements
  • A Tale of Two ifs
  • What Python Adds
  • What Python Removes
  • Parentheses are optional
  • End of line is end of statement
  • End of indentation is end of block
  • Why Indentation Syntax?
  • A Few Special Cases
  • Statement rule special cases
  • Block rule special case
  • A Quick Example: Interactive Loops
  • A Simple Interactive Loop
  • Doing Math on User Inputs
  • Handling Errors by Testing Inputs
  • Handling Errors with try Statements
  • Nesting Code Three Levels Deep
  • Chapter Summary
  • Quiz Answers
  • Assignment, Expressions, and print
  • Assignment Statements
  • Assignment Statement Forms
  • Sequence Assignments
  • Advanced sequence assignment patterns
  • Multiple-Target Assignments
  • Multiple-target assignment and shared references
  • Augmented Assignments
  • Augmented assignment and shared references
  • Variable Name Rules
  • Naming conventions.
  • Names have no type, but objects do
  • Expression Statements
  • Expression Statements and In-Place Changes
  • print Statements
  • The Python "Hello World" Program
  • Redirecting the Output Stream
  • The print &gt
  • &gt
  • file Extension
  • Chapter Summary
  • Quiz Answers
  • if Tests
  • if Statements
  • General Format
  • Basic Examples
  • Multiway Branching
  • Python Syntax Rules
  • Block Delimiters
  • Statement Delimiters
  • A Few Special Cases
  • Truth Tests
  • The if/else Ternary Expression
  • Chapter Summary
  • Quiz Answers
  • while and for Loops
  • while Loops
  • General Format
  • Examples
  • break, continue, pass, and the Loop else
  • General Loop Format
  • Examples
  • pass
  • continue
  • break
  • else
  • More on the loop else clause
  • for Loops
  • General Format
  • Examples
  • Basic usage
  • Other data types
  • Tuple assignment in for
  • Nested for loops
  • Iterators: A First Look
  • File Iterators
  • Other Built-in Type Iterators
  • Other Iteration Contexts
  • User-Defined Iterators
  • Loop Coding Techniques
  • Counter Loops: while and range
  • Nonexhaustive Traversals: range
  • Changing Lists: range
  • Parallel Traversals: zip and map
  • Dictionary construction with zip
  • Generating Both Offsets and Items: enumerate
  • List Comprehensions: A First Look
  • List Comprehension Basics
  • Using List Comprehensions on Files
  • Extended List Comprehension Syntax
  • Chapter Summary
  • Quiz Answers
  • The Documentation Interlude
  • Python Documentation Sources
  • # Comments
  • The dir Function
  • Docstrings: _ _doc_ _
  • User-defined docstrings
  • Docstring standards
  • Built-in docstrings
  • PyDoc: The help Function
  • PyDoc: HTML Reports
  • Standard Manual Set
  • Web Resources
  • Published Books
  • Common Coding Gotchas
  • Chapter Summary
  • Quiz Answers
  • Part IV
  • Function Basics
  • Why Use Functions?
  • Coding Functions
  • def Statements.
  • def Executes at Runtime.

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