PYTHON COOKBOOK 3RD EDITION PDF

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Media, Inc. Python Cookbook, the image of a springhaas, and related trade dress are .. For example: Python Cookbook, 3rd edition, by David. A project that involves a number of books worth much. - sjyuan-cc/programming- books. by David Beazley, Brian K. Jones. If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python , this unique cookbook is for experienced Python programmers who.


Python Cookbook 3rd Edition Pdf

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This book is packed with practical recipes written and tested with Python , this unique Title Python Cookbook, 3rd Edition: Recipes for Mastering Python 3; Author(s) for Mastering Python 3 (David Beazley, et al) · The Mirror Site (1) - PDF. (Science is after all, the knowledge of nature's laws.) The laws of nature express love, respond to gestures of love, Python Graphics Cookbook - Python. An attribution usually includes the title, author, publisher, and ISBN. For example: Python Cookbook, 3rd edition, by David Beazley and Brian K. Jones (O'Reilly).

Defining Anonymous or Inline Functions 7. Capturing Variables in Anonymous Functions 7. Replacing Single Method Classes with Functions 7. Carrying Extra State with Callback Functions 7. Inlining Callback Functions 7.

Accessing Variables Defined Inside a Closure 8. Classes and Objects. Changing the String Representation of Instances 8. Customizing String Formatting 8. Encapsulating Names in a Class 8. Creating Managed Attributes 8. Calling a Method on a Parent Class 8. Extending a Property in a Subclass 8. Using Lazily Computed Properties 8. Simplifying the Initialization of Data Structures 8. Defining an Interface or Abstract Base Class 8. Implementing a Data Model or Type System 8.

Implementing Custom Containers 8. Delegating Attribute Access 8.

Creating an Instance Without Invoking init 8. Extending Classes with Mixins 8. Implementing Stateful Objects or State Machines vi Table of Contents 8. Implementing the Visitor Pattern 8. Implementing the Visitor Pattern Without Recursion 8.

Managing Memory in Cyclic Data Structures 8. Making Classes Support Comparison Operations 8. Creating Cached Instances 9. Putting a Wrapper Around a Function 9. Unwrapping a Decorator 9. Defining a Decorator That Takes Arguments 9. Defining a Decorator with User Adjustable Attributes 9. Defining Decorators As Part of a Class 9.

Defining Decorators As Classes 9. Applying Decorators to Class and Static Methods 9. Using Decorators to Patch Class Definitions 9. Using a Metaclass to Control Instance Creation 9. Capturing Class Attribute Definition Order 9.

Enforcing Coding Conventions in Classes 9. Defining Classes Programmatically 9. Initializing Class Members at Definition Time 9.

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Implementing Multiple Dispatch with Function Annotations 9. Avoiding Repetitive Property Methods 9. Defining Context Managers the Easy Way 9. Executing Code with Local Side Effects 9. Parsing and Analyzing Python Source 9. Disassembling Python Byte Code Modules and Packages. Making a Hierarchical Package of Modules Controlling the Import of Everything Splitting a Module into Multiple Files Reloading Modules Table of Contents vii Reading Datafiles Within a Package Adding Directories to sys.

Patching Modules on Import Installing Packages Just for Yourself Creating a New Python Environment Distributing Packages Network and Web Programming. Creating a TCP Server Creating a UDP Server Communicating Simply Between Interpreters Implementing Remote Procedure Calls Authenticating Clients Simply Sending and Receiving Large Arrays Starting and Stopping Threads Determining If a Thread Has Started Communicating Between Threads Locking Critical Sections Locking with Deadlock Avoidance Storing Thread-Specific State Creating a Thread Pool Performing Simple Parallel Programming Defining an Actor Task Using Generators As an Alternative to Threads Polling Multiple Thread Queues Launching a Daemon Process on Unix Utility Scripting and System Administration.

Terminating a Program with an Error Message Parsing Command-Line Options Prompting for a Password at Runtime Getting the Terminal Size Copying or Moving Files and Directories Creating and Unpacking Archives Finding Files by Name Reading Configuration Files Adding Logging to Simple Scripts Adding Logging to Libraries Making a Stopwatch Timer Launching a Web Browser Testing, Debugging, and Exceptions.

Testing Output Sent to stdout Patching Objects in Unit Tests Testing for Exceptional Conditions in Unit Tests Logging Test Output to a File Skipping or Anticipating Test Failures Handling Multiple Exceptions Catching All Exceptions Creating Custom Exceptions Raising an Exception in Response to Another Exception Reraising the Last Exception Issuing Warning Messages Debugging Basic Program Crashes Profiling and Timing Your Program Making Your Programs Run Faster C Extensions.

Accessing C Code Using ctypes Writing a Simple C Extension Module Calling Python from C Mixing Threads from C and Python Wrapping Existing C Code with Cython Turning a Function Pointer into a Callable Passing Unicode Strings to C Libraries Converting C Strings to Python Working with C Strings of Dubious Encoding Passing Filenames to C Extensions Passing Open Files to C Extensions Reading File-Like Objects from C Consuming an Iterable from C Diagnosing Segmentation Faults A.

Further Reading. It was always known that the adoption of Python 3 would likely take a long time. In fact, even at the time of this writing , most working Python programmers continue to use Python 2 in production.

A lot has been made about the fact that Python 3 is not backward compatible with past versions. To be sure, backward compatibility is an issue for anyone with an existing code base. Just as Python 3 is about the future, this edition of the Python Cookbook represents a major change over past editions.

First and foremost, this is meant to be a very forward looking book. All of the recipes have been written and tested with Python 3.

Converting Strings into Datetimes 3. Manipulating Dates Involving Time Zones 83 84 87 89 90 92 94 96 97 4. Iterators and Generators. Manually Consuming an Iterator 4. Delegating Iteration 4. Creating New Iteration Patterns with Generators 4.

Python Cookbook 3rd Edition pdf - Download from Wow

Implementing the Iterator Protocol 4. Iterating in Reverse 4. Taking a Slice of an Iterator 4. Skipping the First Part of an Iterable 4. Iterating Over Multiple Sequences Simultaneously 4. Iterating on Items in Separate Containers 4. Creating Data Processing Pipelines 4.

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Flattening a Nested Sequence 4. Replacing Infinite while Loops with an Iterator 5. Reading and Writing Text Data 5. Printing to a File 5. Printing with a Different Separator or Line Ending 5. Reading and Writing Binary Data 5. Reading and Writing Compressed Datafiles 5. Iterating Over Fixed-Sized Records 5.

Python Cookbook 3rd Edition pdf - Download from Wow

Reading Binary Data into a Mutable Buffer 5. Memory Mapping Binary Files 5. Manipulating Pathnames 5. Testing for the Existence of a File 5.

Getting a Directory Listing 5. Bypassing Filename Encoding 5. Printing Bad Filenames 5. Writing Bytes to a Text File 5. Making Temporary Files and Directories 5. Communicating with Serial Ports 5. Serializing Python Objects 6. Data Encoding and Processing. Turning a Dictionary into XML 6. Interacting with a Relational Database 6. Decoding and Encoding Hexadecimal Digits 6.

Decoding and Encoding Base64 6. Reading and Writing Binary Arrays of Structures 6. Summarizing Data and Performing Statistics 7. Attaching Informational Metadata to Function Arguments 7. Returning Multiple Values from a Function 7. Defining Functions with Default Arguments 7. Defining Anonymous or Inline Functions 7. Capturing Variables in Anonymous Functions 7. Replacing Single Method Classes with Functions 7.

Carrying Extra State with Callback Functions 7. Inlining Callback Functions 7.

Accessing Variables Defined Inside a Closure 8. Classes and Objects. Changing the String Representation of Instances 8. Customizing String Formatting 8. Encapsulating Names in a Class 8. Creating Managed Attributes 8. Calling a Method on a Parent Class 8. Extending a Property in a Subclass 8. Using Lazily Computed Properties 8. Simplifying the Initialization of Data Structures 8. Defining an Interface or Abstract Base Class 8. Implementing a Data Model or Type System 8.

Implementing Custom Containers 8. Delegating Attribute Access 8. Creating an Instance Without Invoking init 8. Extending Classes with Mixins 8.

Implementing Stateful Objects or State Machines vi Table of Contents 8. Implementing the Visitor Pattern 8. Implementing the Visitor Pattern Without Recursion 8. Managing Memory in Cyclic Data Structures 8. Making Classes Support Comparison Operations 8. Creating Cached Instances 9. Putting a Wrapper Around a Function 9.

Unwrapping a Decorator 9. Defining a Decorator That Takes Arguments 9. Defining a Decorator with User Adjustable Attributes 9. Defining Decorators As Part of a Class 9. Defining Decorators As Classes 9. Applying Decorators to Class and Static Methods 9. Using Decorators to Patch Class Definitions 9. Using a Metaclass to Control Instance Creation 9. Capturing Class Attribute Definition Order 9.

Enforcing Coding Conventions in Classes 9. Defining Classes Programmatically 9. Initializing Class Members at Definition Time 9. Implementing Multiple Dispatch with Function Annotations 9. Avoiding Repetitive Property Methods 9. Defining Context Managers the Easy Way 9. Executing Code with Local Side Effects 9.

Parsing and Analyzing Python Source 9. Disassembling Python Byte Code Modules and Packages. Making a Hierarchical Package of Modules Controlling the Import of Everything Splitting a Module into Multiple Files Reloading Modules Table of Contents vii Reading Datafiles Within a Package Adding Directories to sys.

Patching Modules on Import Installing Packages Just for Yourself Creating a New Python Environment Distributing Packages Network and Web Programming. Creating a TCP Server Creating a UDP Server Communicating Simply Between Interpreters Implementing Remote Procedure Calls Authenticating Clients Simply Sending and Receiving Large Arrays Starting and Stopping Threads Determining If a Thread Has Started Communicating Between Threads Locking Critical Sections Locking with Deadlock Avoidance Storing Thread-Specific State Creating a Thread Pool Performing Simple Parallel Programming Defining an Actor Task Using Generators As an Alternative to Threads Polling Multiple Thread Queues Launching a Daemon Process on Unix Utility Scripting and System Administration.Tokenizing Text 2.

Calling a Method on a Parent Class 8. Distributing Packages Passing Unicode Strings to C Libraries Reading File-Like Objects from C

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