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.
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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 mmoonneeyy.info?isbn= for release Media, Inc. Python Cookbook, the image of a springhaas, and.
Interpolating Variables in a Stringin Python 2. Scheduling Commands 3. Running a Servlet with Jython Sorting Strings with Embedded Numbers 5. Creating a Share on Windows Reversing a String by Words or Characters 1.
On the off chance that you need help composing projects in Python 3, or need to upgrade more established Python 2 code, this book is simply the ticket. Stuffed with commonsense formulas composed and tried with Python 3. Every formula contains code tests you can use in your tasks immediately, alongside an examination about how and why the arrangement functions. Time and Money. Python Shortcuts. Searching and Sorting. Object-Oriented Programming. Persistence and Databases.
Debugging and Testing. Processes, Threads, and Synchronization. System Administration. User Interfaces. Processing XML. Network Programming. Finding Last Friday 3. Calculating Time Periods in a Date Range 3. Summing Durations of Songs 3. Looking up Holidays Automatically 3. Fuzzy Parsing of Dates 3. Converting Time Zones 3. Running a Command Repeatedly 3. Scheduling Commands 3. Doing Decimal Arithmetic 3. Formatting Decimals as Currency 3. Using Python as a Simple Adding Machine 3.
Checking a Credit Card Checksum 3. Watching Foreign Exchange Rates 4. Python Shortcuts Introduction 4. Copying an Object 4. Constructing Lists with List Comprehensions 4. Looping over Items and Their Indices in a Sequence 4.
Flattening a Nested Sequence 4. Removing or Reordering Columnsin a List of Rows 4. Transposing Two-Dimensional Arrays 4. Getting a Value from a Dictionary 4. Adding an Entry to a Dictionary 4. Building a Dictionary Without Excessive Quoting 4. Extracting a Subset of a Dictionary 4.
Inverting a Dictionary 4. Using a Dictionary to Dispatch Methods or Functions 4. Finding Unions and Intersections of Dictionaries 4.
Collecting a Bunch of Named Items 4. Assigning and Testing with One Statement 4. 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. 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. 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.
FeedParser Detecting Inactive Computers Forwarding and Redirecting Network Ports Implementing the Dynamic IP Protocol Web Programming Introduction