Python Pocket Reference. Python in Your Pocket. 4th Edition Mark Lutz

Python Pocket Reference. Python in Your Pocket. 4th Edition Mark Lutz - okladka książki

Autor:: Mark Lutz
Wydawnictwo:: O'Reilly Media (Z chęcią przeczytam książkę w języku polskim)
Ocena:: Bądź pierwszym, który oceni tę książkę
Stron:: 210
Dostępne formaty:: ePub

Mobi

Ebook 42,42 zł najniższa cena z 30 dni

~~49,90 zł~~ (-15%)
42,42 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

42,42 zł najniższa cena z 30 dni

Przenieś na półkę

Do przechowalni

Najczęściej kupowane razem

Python Pocket Reference. Python in Your Pocket. 4th Edition Mark Lutz

Learning Python. 6th Edition Mark Lutz

Python. Wprowadzenie. Wydanie V Mark Lutz

Cena zestawu: 370.57 zł

Zyskujesz: 147.33 zł (-28%)

Dodaj do koszyka

This is the book to reach for when you're coding on the fly and need an answer now. It's an easy-to-use reference to the core language, with descriptions of commonly used modules and toolkits, and a guide to recent changes, new features, and upgraded built-ins -- all updated to cover Python 3.X as well as version 2.6. You'll also quickly find exactly what you need with the handy index.

Written by Mark Lutz -- widely recognized as the world's leading Python trainer -- Python Pocket Reference, Fourth Edition, is the perfect companion to O'Reilly's classic Python tutorials, also written by Mark: Learning Python and Programming Python.

Built-in object types, including numbers, lists, dictionaries, and more
Statements and syntax for creating and processing objects
Functions and modules for structuring and reusing code
Python's object-oriented programming tools
The exception-handling model
Built-in functions, exceptions, and attributes
Special operator overloading methods
Widely used standard library modules and extensions
Command-line options and development tools
Python idioms and hints

Wybrane bestsellery

O autorze książki

Mark Lutz od 30 lat zajmuje się programowaniem. Dziś jest jedną z najważniejszych postaci w świecie Pythona. Napisał kilka popularnych, wielokrotnie wznawianych książek o programowaniu w tym języku. Przeprowadził też kilkaset sesji treningowych poświęconych Pythonowi. Zanim w 1992 roku zainteresował się tym językiem, zajmował się implementacją Prologa i pracował nad kompilatorami, narzędziami programistycznymi, aplikacjami skryptowymi oraz systemami klient-serwer.

Mark Lutz - pozostałe książki

Ebooka "Python Pocket Reference. Python in Your Pocket. 4th Edition" przeczytasz na:

czytnikach Inkbook, Kindle, Pocketbook, Onyx Boox i innych
systemach Windows, MacOS i innych

systemach Windows, Android, iOS, HarmonyOS
na dowolnych urządzeniach i aplikacjach obsługujących formaty: PDF, EPub, Mobi

Masz pytania? Zajrzyj do zakładki Pomoc »

Oceny i opinie klientów: Python Pocket Reference. Python in Your Pocket. 4th Edition Mark Lutz

(0)

Szczegóły książki

ISBN Ebooka:: 978-14-493-7933-9, 9781449379339
Data wydania ebooka :: 2009-10-08 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@ebookpoint.pl.
Język publikacji:: angielski
Rozmiar pliku ePub:: 1.2MB
Rozmiar pliku Mobi:: 1.2MB

Zgłoś erratę

Kategorie

Kliknij, aby zgłosić błędnie przypisaną kategorię »

Informatyka » Programowanie » Python

Spis treści książki

Python Pocket Reference
1. Python Pocket Reference
- Introduction
- Conventions
- Using Code Examples
- Safari Books Online
- Command-Line Options
  - Python Options
  - Program Specification
- Environment Variables
  - Operational Variables
  - Command-Line Option Variables
- Built-in Types and Operators
  - Operators and Precedence
  - Operator Usage Notes
  - Operations by Category
  - Sequence Operation Notes
    - Indexing: S[i]
    - Slicing: S[i:j]
    - Slicing: S[i:j:k]
    - Other
- Specific Built-in Types
  - Numbers
    - Literals and creation
    - Operations
    - Decimal and fraction
    - Other numeric types
  - Strings
    - Literals and creation
    - Operations
    - String formatting
    - String formatting expression
    - String formatting method
    - Template string substitution
    - String methods
    - byte and bytearray methods
    - Searching
    - Splitting and joining
    - Formatting
    - Content tests
    - The original string module
  - Unicode Strings
    - Unicode support in Python 3.0
    - byte and bytearray strings
    - Unicode support in Python 2.X
  - Lists
    - Literals and creation
    - Operations
    - List comprehension expressions
    - Generator expressions
    - Other generators and comprehensions
  - Dictionaries
    - Literals and creation
    - Operations
  - Tuples
    - Literals
    - Operations
  - Files
    - Input files
    - Output files
    - Any files
    - Attributes (all read-only)
    - File context managers
    - Notes
  - Sets
    - Literals and creation
    - Operations
  - Other Common Types
    - Boolean
  - Type Conversions
- Statements and Syntax
  - Syntax Rules
  - Name Rules
    - Name format
    - Name conventions
- Specific Statements
  - The Assignment Statement
    - Augmented assignment
    - Normal and extended sequence assignment
  - The Expression Statement
    - Call syntax
    - Arbitrary arguments call syntax
  - The print Statement
    - Python 2.X print statements
  - The if Statement
  - The while Statement
  - The for Statement
  - The pass Statement
  - The break Statement
  - The continue Statement
  - The del Statement
  - The def Statement
    - Python 3.0 keyword-only arguments
    - Python 3.0 function annotations
    - lambda expressions
    - Defaults and attributes
    - Function and method decorators
  - The return Statement
  - The yield Statement
    - Generators and iterators
  - The global Statement
  - The nonlocal Statement
  - The import Statement
    - Package imports
  - The from Statement
    - Package relative import syntax
  - The class Statement
    - Class decorators in Python 2.6 and 3.0
    - Metaclasses
  - The try Statement
    - Python 2.X try statement forms
  - The raise Statement
    - Class exceptions
    - Python 2.X raise statement forms
  - The assert Statement
  - The with Statement
    - Multiple context managers in Python 3.1
  - Python 2.X Statements
- Namespace and Scope Rules
  - Qualified Names: Object Namespaces
  - Unqualified Names: Lexical Scopes
  - Statically Nested Scopes
- Object-Oriented Programming
  - Classes and Instances
    - Class objects provide default behavior
    - Instance objects are generated from classes
    - Inheritance rules
  - Pseudoprivate Attributes
    - Module privates
    - Class privates
  - New Style Classes
- Operator Overloading Methods
  - For All Types
  - For Collections (Sequences, Mappings)
  - For Numbers (Binary Operators)
    - Basic binary methods
    - Right-side binary methods
    - Augmented binary methods
  - For Numbers (Other Operations)
  - For Descriptors
  - For Context Managers
  - Python 2.X Operator Overloading Methods
    - Methods in Python 3.0 only
    - Methods in Python 2.X only
- Built-in Functions
  - Python 2.X Built-in Functions
    - Python 3.0 built-ins not supported by Python 2.6
    - Python 2.6 built-ins not supported by Python 3.0
- Built-in Exceptions
  - Superclasses (Categories)
  - Specific Exceptions Raised
  - Warning Category Exceptions
  - Warnings Framework
  - Python 2.X Built-in Exceptions
- Built-in Attributes
- Standard Library Modules
- The sys Module
- The string Module
  - Module Functions and Classes
  - Constants
- The os System Module
  - Administrative Tools
  - Portability Constants
  - Shell Commands
  - Environment Tools
  - File Descriptor Tools
  - File Pathname Tools
  - Process Control
  - The os.path Module
- The re Pattern-Matching Module
  - Module Functions
  - Regular Expression Objects
  - Match Objects
  - Pattern Syntax
- Object Persistence Modules
  - dbm and shelve Modules
  - pickle Module
    - Pickling interfaces
    - Unpickling interfaces
    - Usage notes
- The tkinter GUI Module and Tools
  - tkinter Example
  - tkinter Core Widgets
  - Common Dialog Calls
    - Module tkinter.messagebox (tkMessageBox in Python 2.X)
    - Module tkinter.simpledialog (tkSimpleDialog in Python 2.X)
    - Module tkinter.colorchooser (tkColorChooser in Python 2.X)
    - Module tkinter.filedialog (tkFileDialog in Python 2.X)
  - Additional tkinter Classes and Tools
  - Tcl/Tk-to-Python/tkinter Mappings
- Internet Modules and Tools
  - Commonly Used Library Modules
- Other Standard Library Modules
  - The math Module
  - The time Module
  - The datetime Module
  - Threading Modules
  - Binary Data Parsing
- Python Portable SQL Database API
  - API Usage Example
  - Module Interface
  - Connection Objects
  - Cursor Objects
  - Type Objects and Constructors
- Python Idioms and Hints
  - Core Language Hints
  - Environment Hints
  - Usage Hints
  - Assorted Hints
Index
About the Author
Copyright