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Python - In a Nutshell

A Desktop Quick Reference

Paperback Engels 2017 9781449392925
Op voorraad | Vandaag voor 21:00 uur besteld, morgen in huis


Useful in many roles, from design and prototyping to testing, deployment, and maintenance, Python is consistently ranked among today’s most popular programming languages. The third edition of this practical book provides a quick reference to the language—including Python 3.5, 2.7, and highlights of 3.6—commonly used areas of its vast standard library, and some of the most useful third-party modules and packages.

Ideal for programmers with some Python experience, and those coming to Python from other programming languages, this book covers a wide range of application areas, including web and network programming, XML handling, database interactions, and high-speed numeric computing. Discover how Python provides a unique mix of elegance, simplicity, practicality, and sheer power.

This edition covers:
- Python syntax, Object-Oriented Python, standard library modules, and third-party Python packages
- Python’s support for file and text operations, persistence and databases, concurrent execution, and numeric computations
- Networking basics, event-driven programming, and client-side network protocol modules
- Python extension modules, and tools for packaging and distributing extensions, modules, and applications


Aantal pagina's:753
Hoofdrubriek:IT-management / ICT


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Over Alex Martelli

Alex Martelli spent 8 years with IBM Research, then 13 at think3 inc., followed by 4 years as a consultant (mostly for AB Strakt in Göteborg, Sweden), and lately 12 years at Google (currently as tech lead of 1:many tech support for Google Cloud Platform). He has also taught programming languages, development methods, and numerical computing at Ferrara University and other venues. He's a Fellow of the Python Software Foundation, a winner of the Frank Willison Memorial Award for contributions to the Python community, and a top-page reputation hog on Stack Overflow. Books he's authored or co-authored include two editions of the Python Cookbook, three of Python in a Nutshell, and "Beautiful Teams." Dozens of his tech talks at conferences, and interviews with him, are available on YouTube. Alex's proudest achievement are the articles that appeared in Bridge World (January and February 2000), which were hailed as giant steps towards solving issues that had haunted contract bridge theoreticians for decades, and still get quoted in current bridge-theoretical literature, after all these years.

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Over Anna Ravenscroft

Anna Martelli Ravenscroft is an experienced speaker and trainer, with a background developing curricula for a wide range of topics, from church, to regional transit, to disaster preparedness; developing web applications for therapy, learning, and fitness; and writing and reviewing technical books, articles, and presentations. While not a professional programmer, She is a Python enthusiast, and an active member of the Open Source community: she's a PSF Fellow, and winner of the 2013 Frank Willison Memorial Award for contributions to the Python community. Anna co-authored the second edition of the Python Cookbook and the third edition of Python in a Nutshell. She lives in Silicon Valley with her husband Alex, two dogs, one cat, and eight chickens.

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Over Steve Holden

Steve Holden Is CTO of a stress-management startup in the UK. He has taught many classes on TCP/IP, network security, database and programming topics, and was the author of "Python Web Programming", the O'Reilly School of Technology's "Certificate series in Python" and O'Reilly Media's "Intermediate Python" video series. Steve has spent time on both sides of the "academic divide", and was an early researcher into the integration of text, graphics and database while teaching system development topics at Manchester University. This research led him to form Desktop Connection Limited, the first UK reseller of Frame Technology's (now Adobe's) FrameMaker software. His customers included British Telecom, British Aerospace, British Gas, and Sun Microsystems. Born and raised in the UK, Steve has travelled throughout Europe and the USA on teaching assignments. He recently returned to the UK after 20 years in the USA and now lives in Hastings, where when not working or writing he enjoys looking for worthwhile beers, entertaining friends and family, and reading science fiction.

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Part 1: Getting Started with Python
1. Introduction to Python
The Python Language
The Python Standard Library and Extension Modules
Python Implementations
Python Development and Versions
Python Resources
Installing Python from Binaries
Installing Python from Source Code
Installing Jython
Installing IronPython
Installing PyPy

2. The Python Interpreter
The python Program
Python Development Environments
Running Python Programs
The jython Interpreter
The IronPython Interpreter
The PyPy Interpreter

Part 2: Core Python Language and Built-ins
3. The Python Language
Lexical Structure
Data Types
Variables and Other References
Expressions and Operators
Numeric Operations
Sequence Operations
Set Operations
Dictionary Operations
Control Flow Statements

4. Object-Oriented Python
Classes and Instances
Special Methods

5. Exceptions
The try Statement
The with Statement and Context Managers
Exception Propagation
The raise Statement
Exception Objects
Custom Exception Classes
Error-Checking Strategies
The assert Statement

6. Modules
Module Objects
Module Loading
Distribution Utilities (distutils) and setuptools
Python Environments

7. Core Built-ins and Standard Library Modules
Built-in Types
Built-in Functions
The sys Module
The copy Module
The collections Module
The functools Module
The heapq Module
The argparse Module
The itertools Module

8. Strings and Things
Methods of String and Bytes Objects
The string Module
String Formatting
Text Wrapping and Filling
The pprint Module
The reprlib Module

9. Regular Expressions
Regular Expressions and the re Module

Part 3: Python Library and Extension Modules
10. File and Text Operations
Other Chapters That Also Deal with Files
Organization of This Chapter
The io Module
Auxiliary Modules for File I/O
In-Memory “Files”: io.StringIO and io.BytesIO
Compressed Files
The os Module
Filesystem Operations
Text Input and Output
Richer-Text I/O
Interactive Command Sessions

11. Persistence and Databases
DBM Modules
Berkeley DB Interfacing
The Python Database API (DBAPI) 2.0

12. Time Operations
The time Module
The datetime Module
The pytz Module
The dateutil Module
The sched Module
The calendar Module

13. Controlling Execution
Site and User Customization
Termination Functions
Dynamic Execution and exec
Internal Types
Garbage Collection

14. Threads and Processes
Threads in Python
The threading Module
The queue Module
The multiprocessing Module
The concurrent.futures Module
Threaded Program Architecture
Process Environment
Running Other Programs
The mmap Module

15. Numeric Processing
The math and cmath Modules
The operator Module
Random and Pseudorandom Numbers
The fractions Module
The decimal Module
The gmpy2 Module
Array Processing
The array Module
Extensions for Numeric Array Computation

16. Testing, Debugging, and Optimizing
The warnings Module

Part 4: Network and Web Programming
17. Networking Basics
Networking Principles
The Berkeley Socket Interface
Transport Layer Security (TLS, AKA SSL)

18. Asynchronous Alternatives
Coroutine-Based Async Architectures
The asyncio Module (v3 Only)
The selectors Module

19. Client-Side Network Protocol Modules
Email Protocols
HTTP and URL Clients
Other Network Protocols

20. Serving HTTP
Python Web Frameworks

21. Email, MIME, and Other Network Encodings
MIME and Email Format Handling
Encoding Binary Data as ASCII Text

22. Structured Text: HTML
The html.entities (v2: htmlentitydefs) Module
Generating HTML

23. Structured Text: XML

Part 5: Extending, Distributing, v2/v3 Migration
24. Extending and Embedding Classic Python
Extending Python with Python’s C API
Extending Python Without Python’s C API
Embedding Python

25. Distributing Extensions and Programs
Distributing Your Package

26. v2/v3 Migration and Coexistence
Preparing for Python 3
Minimizing Syntax Differences
Choosing Your Support Strategy

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