Python Cookbook™, Second Edition O'Reilly Media, Inc. The Cookbook series designations, Python Cookbook, the image of ISBN Python Cookbook, 2nd Edition. 1 review. by David Ascher, Anna Ravenscroft, Alex Martelli. Publisher: O'Reilly Media, Inc. Release Date: March ISBN. See for release Media, Inc. Python Cookbook, the image of a springhaas, and.

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Short Desciption: This books is Free to download. "Python Cookbook 2nd Edition Book book" is available in PDF Formate. Learn from this free book and. Python Cookbook, 2nd Edition By David Ascher, Alex Martelli, Anna Ravenscroft Publisher: O'Reilly Pub Date: March I. SECOND EDITION. Python Cookbook. Edited by Alex Martelli,. Anna Martelli Counting Pages of PDF Documents on Mac OS X. Changing File.

Object-Oriented Programming. Persistence and Databases. Debugging and Testing. Processes, Threads, and Synchronization. System Administration. User Interfaces.

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Processing XML. Network Programming. Web Programming. Distributed Programming. Programs About Programs. Extending and Embedding.

Iterators and Generators. Descriptors, Decorators, and Metaclasses. Using printf in Python 4. Randomly Picking Items with Given Probabilities 4. Handling Exceptions Within an Expression 4. Searching and Sorting Introduction 5. Sorting a Dictionary 5.

Sorting a List of Strings Case-Insensitively 5. Sorting a List of Objects by an Attribute of the Objects 5. Sorting Strings with Embedded Numbers 5.

Looking for Items in a Sorted Sequence 5. Selecting the nth Smallest Element of a Sequence 5. Showing off quicksort in Three Lines 5. Performing Frequent Membership Tests on a Sequence 5. Finding Subsequences 5. Enriching the Dictionary Type with Ratings Functionality 5. Sorting Names and Separating Them by Initials 6. Object-Oriented Programming Introduction 6. Converting Among Temperature Scales 6. Defining Constants 6.

Restricting Attribute Setting 6. Chaining Dictionary Lookups 6. Delegating Automatically as an Alternative to Inheritance 6.

Delegating Special Methods in Proxies 6. Implementing Tuples with Named Items 6. Avoiding Boilerplate Accessors for Properties 6. Making a Fast Copy of an Object 6.

Implementing a Ring Buffer 6. Checking an Instance for Any State Changes 6. Implementing the State Design Pattern 6.

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Implementing the Null Object Design Pattern 6. Using Cooperative Supercalls Concisely and Safely 7. Persistence and Databases Introduction 7. Serializing Data Using the marshal Module 7. Serializing Data Using the pickle and cPickle Modules 7. Using Compression with Pickling 7. Using the cPickle Module on Classes and Instances 7. Holding Bound Methods in a Picklable Way 7.

Pickling Code Objects 7. Mutating Objects with shelve 7. Using the Berkeley DB Database 7.

Using dtuple for Flexible Accessto Query Results 7. Pretty-Printing the Contents of Database Cursors 7. Debugging and Testing Introduction 8. Disabling Execution of Some Conditionals and Loops 8. Measuring Memory Usage on Linux 8.

Python Cookbook, 2nd Edition

Debugging the Garbage-Collection Process 8. Trapping and Recording Exceptions 8. Tracing Expressions and Comments in Debug Mode 8.

Getting More Information from Tracebacks 8. Running Unit Tests Most Simply 8. Running Unit Tests Automatically 8.

Using doctest with unittest in Python 2. Processes, Threads, and Synchronization Introduction 9. Synchronizing All Methods in an Object 9. Terminating a Thread 9.

Using a Queue. Queue as a Priority Queue 9. Working with a Thread Pool 9. Coordinating Threads by Simple Message Passing 9. Storing Per-Thread Information 9.

Multitasking Cooperatively Without Threads 9. Driving an External Process with popen 9. Forking a Daemon Process on Unix System Administration Introduction Generating Random Passwords Spawning an Editor from a Script Backing Up Files Selectively Copying a Mailbox File Blocking Duplicate Mails Checking Your Windows Sound System Creating a Share on Windows Reading Microsoft Outlook Contacts User Interfaces Introduction Showing a Progress Indicator on a Text Console Avoiding lambda in Writing Callback Functions Entering Accented Characters in Tkinter Widgets Converting Among Image Formats Implementing a Stopwatch in Tkinter Implementing a Tabbed Notebook for Tkinter Using a wxPython Notebook with Panels Implementing an ImageJ Plug-in in Jython Implementing Fade-in Windows with IronPython Processing XML Introduction Counting Tags in a Document Autodetecting XML Encoding Validating XML Documents Network Programming Introduction Passing Messages with Socket Datagrams Grabbing a Document from the Web Removing Attachments from an Email Message Fixing Messages Parsed by Python 2.

Python Cookbook 2nd Edition pdf free ebook download

FeedParser Detecting Inactive Computers Forwarding and Redirecting Network Ports Implementing the Dynamic IP Protocol Web Programming Introduction Uploading Files with CGI Running a Servlet with Jython Finding an Internet Explorer Cookie Aggregating RSS Feeds Rendering Arbitrary Objects with Nevow Distributed Programming Introduction Using Twisted Perspective Broker Performing Remote Logins Using telnetlib Programs About Programs Introduction Importing a Dynamically Generated Module Associating Parameters with a Function Currying Composing Functions Merging and Splitting Tokens Simulating Enumerations in Python Automating the py2exe Compilation of Scripts into Windows Executables Extending and Embedding Introduction Implementing a Simple Extension Type Implementing a Simple Extension Type with Pyrex Debugging Dynamically Loaded C Extensions with gdb Debugging Memory Problems Algorithms Introduction Removing Duplicates from a Sequence Generating Random Samples with Replacement Generating Random Samples Without Replacement Memoizing Caching the Return Values of Functions Implementing a Bag Multiset Collection Type Simulating the Ternary Operator in Python Computing Prime Numbers Formatting Integers as Binary Strings Notify me of new posts by email.

Testing Whether an Object Is String-like 1.

Accessing Substrings 1. Rendering Arbitrary Objects with Nevow Forwarding and Redirecting Network Ports Serializing Data Using the pickle and cPickle Modules 7. Selecting the nth Smallest Element of a Sequence 5. Removing Duplicates from a Sequence

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