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Learn Python Cookbook PDF Notes

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Download Python Cookbook Free in PDF. Python is a popular and easy to understand language. In this PDF notes you will learn advance programing techniques in python language. This notes is for advance programmers to enhance their skills in python and they can get information in python more deeply from this notes.

In this practical notes you will get more techniques that you apply your code to get result faster. By this notes you will make effective codes. This practical guide is helpful for those who interested in python language and learn more about python. You will easily understand the topics. You can download this PDF notes free of cost

You Will Cover These Topics From This Notes:

What is Python Cookbook For?
1. Text
1.1 Processing a String One Character at a Time
1.2 Converting Between Characters and Numeric Codes
1.3 Testing Whether an Object Is String-like
1.4 Aligning Strings
1.5 Trimming Space from the Ends of a String
1.6 Combining Strings
1.7 Reversing a String by Words or Characters
1.8 Checking Whether a String Contains a Set of Characters
1.9 Simplifying Usage of Strings’ translate Method
1.10 Filtering a String for a Set of Characters
1.11 Checking Whether a String Is Text or Binary
1.12 Controlling Case
1.13 Accessing Substrings
1.14 Changing the Indentation of a Multiline String
1.15 Expanding and Compressing Tabs
1.16 Interpolating Variables in a String

2. Files
2.1 Reading from a File
2.2 Writing to a File
2.3 Searching and Replacing Text in a File
2.4 Reading a Specific Line from a File
2.5 Counting Lines in a File
2.6 Processing Every Word in a File
2.7 Using Random-Access Input/output
2.8 Updating a Random-Access File
2.9 Reading Data from zip Files
2.10 Handling a zip File Inside a String
2.11 Archiving a Tree of Files into a Compressed tar File
2.12 Sending Binary Data to Standard Output Under Windows
2.13 Using a C++-like iostream Syntax
2.14 Rewinding an Input File to the Beginning

3. Time and Money
3.1 Calculating Yesterday and Tomorrow
3.2 Finding Last Friday
3.3 Calculating Time Periods in a Date Range
3.4 Summing Durations of Songs
3.5 Calculating the Number of Weekdays Between Two Dates
3.6 Looking up Holidays Automatically
3.7 Fuzzy Parsing of Dates
3.8 Checking Whether Daylight Saving Time Is Currently in Effect
3.9 Converting Time Zones
3.10 Running a Command Repeatedly
3.11 Scheduling Commands
3.12 Doing Decimal Arithmetic
3.13 Formatting Decimals as Currency
3.14 Using Python as a Simple Adding Machine
3.15 Checking a Credit Card Checksum
3.16 Watching Foreign Exchange Rates

4. Python Shortcuts
4.1 Copying an Object
4.2 Constructing Lists with List Comprehensions
4.3 Returning an Element of a List If It Exists
4.4 Looping over Items and Their Indices in a Sequence
4.5 Creating Lists of Lists Without Sharing References
4.6 Flattening a Nested Sequence
4.7 Removing or Reordering Columns in a List of Rows
4.8 Transposing Two-Dimensional Arrays
4.9 Getting a Value from a Dictionary
4.10 Adding an Entry to a Dictionary
4.11 Building a Dictionary Without Excessive Quoting
4.12 Building a Dict from a List of Alternating Keys and Values
4.13 Extracting a Subset of a Dictionary
4.14 Inverting a Dictionary
4.15 Associating Multiple Values with Each Key in a Dictionary
4.16 Using a Dictionary to Dispatch Methods or Functions
4.17 Finding Unions and Intersections of Dictionaries
4.18 Collecting a Bunch of Named Items

5. Searching and Sorting
5.1 Sorting a Dictionary
5.2 Sorting a List of Strings Case-Insensitively
5.3 Sorting a List of Objects by an Attribute of the Objects
5.4 Sorting Keys or Indices Based on the Corresponding Values
5.5 Sorting Strings with Embedded Numbers
5.6 Processing All of a List’s Items in Random Order
5.7 Keeping a Sequence Ordered as Items Are Added
5.8 Getting the First Few Smallest Items of a Sequence
5.9 Looking for Items in a Sorted Sequence
5.10 Selecting the nth Smallest Element of a Sequence
5.11 Showing off quicksort in Three Lines
5.12 Performing Frequent Membership Tests on a Sequence
5.13 Finding Subsequences
5.14 Enriching the Dictionary Type with Ratings Functionality
5.15 Sorting Names and Separating Them by Initials

6. Object-Oriented Programming
6.1 Converting Among Temperature Scales
6.2 Defining Constants
6.3 Restricting Attribute Setting
6.4 Chaining Dictionary Lookups
6.5 Delegating Automatically as an Alternative to Inheritance
6.6 Delegating Special Methods in Proxies
6.7 Implementing Tuples with Named Items
6.8 Avoiding Boilerplate Accessors for Properties
6.9 Making a Fast Copy of an Object
6.10 Keeping References to Bound Methods
Without Inhibiting Garbage Collection
6.11 Implementing a Ring Buffer
6.12 Checking an Instance for Any State Changes

7. Persistence and Databases
7.1 Serializing Data Using the marshal Module
7.2 Serializing Data Using the pickle and cPickle Modules
7.3 Using Compression with Pickling
7.4 Using the cPickle Module on Classes and Instances
7.5 Holding Bound Methods in a Picklable Way
7.6 Pickling Code Objects
7.7 Mutating Objects with shelve
7.8 Using the Berkeley DB Database
7.9 Accesssing a MySQL Database
7.10 Storing a BLOB in a MySQL Database
7.11 Storing a BLOB in a PostgreSQL Database
7.12 Storing a BLOB in a SQLite Database
7.13 Generating a Dictionary Mapping Field Names to Column Numbers
7.14 Using dtuple for Flexible Access to Query Results
7.15 Pretty-Printing the Contents of Database Cursors
7.16 Using a Single Parameter-Passing Style Across Various DB API Modules
7.17 Using Microsoft Jet via ADO
7.18 Accessing a JDBC Database from a Jython Servlet
7.19 Using ODBC to Get Excel Data with Jython

8. Debugging and Testing
8.1 Disabling Execution of Some Conditionals and Loops
8.2 Measuring Memory Usage on Linux
8.3 Debugging the Garbage-Collection Process
8.4 Trapping and Recording Exceptions
8.5 Tracing Expressions and Comments in Debug Mode
8.6 Getting More Information from Tracebacks
8.7 Starting the Debugger Automatically After an Uncaught Exception
8.8 Running Unit Tests Most Simply
8.9 Running Unit Tests Automatically
8.10 Using doctest with unittest in Python 2.4
8.11 Checking Values Against Intervals in Unit Testing

9. Processes, Threads, and Synchronization
9.1 Synchronizing All Methods in an Object
9.2 Terminating a Thread
9.3 Using a Queue.Queue as a Priority Queue
9.4 Working with a Thread Pool
9.5 Executing a Function in Parallel on Multiple Argument Sets
9.6 Coordinating Threads by Simple Message Passing
9.7 Storing Per-Thread Information
9.8 Multitasking Cooperatively Without Threads
9.9 Determining Whether Another Instance of a Script Is Already Running in Windows
9.10 Processing Windows Messages Using Msg Wait For Multiple Objects

10. System Administration
10.1 Generating Random Passwords
10.2 Generating Easily Remembered Somewhat-Random Passwords
10.3 Authenticating Users by Means of a POP Server
10.4 Calculating Apache Hits per IP Address
10.5 Calculating the Rate of Client Cache Hits on Apache
10.6 Spawning an Editor from a Script
10.7 Backing Up Files
10.8 Selectively Copying a Mailbox File
10.9 Building a Whitelist of Email Addresses From a Mailbox
10.10 Blocking Duplicate Mails
10.11 Checking Your Windows Sound System
10.12 Registering or Unregistering a DLL on Windows
10.13 Checking and Modifying the Set of Tasks Windows Automatically Runs at Login
10.14 Creating a Share on Windows
10.15 Connecting to an Already Running Instance of Internet Explorer
10.16 Reading Microsoft Outlook Contacts
10.17 Gathering Detailed System Information on Mac OS X

11. User Interfaces
11.1 Showing a Progress Indicator on a Text Console
11.2 Avoiding lambda in Writing Callback Functions
11.3 Using Default Values and Bounds with tkSimpleDialog Functions
11.4 Adding Drag and Drop Reordering to a Tkinter Listbox
11.5 Entering Accented Characters in Tkinter Widgets
11.6 Embedding Inline GIFs Using Tkinter
11.7 Converting Among Image Formats
11.8 Implementing a Stopwatch in Tkinter
11.9 Combining GUIs and Asynchronous I/O with Threads
11.10 Using IDLE’s Tree Widget in Tkinter
11.11 Supporting Multiple Values per Row in a Tkinter Listbox

12. Processing XML
12.1 Checking XML Well-Formedness
12.2 Counting Tags in a Document
12.3 Extracting Text from an XML Document
12.4 Autodetecting XML Encoding
12.5 Converting an XML Document into a Tree of Python Objects
12.6 Removing Whitespace-only Text Nodes from an XML DOM Node’s Subtree
12.7 Parsing Microsoft Excel’s XML
12.8 Validating XML Documents
12.9 Filtering Elements and Attributes Belonging to a Given Namespace
12.10 Merging Continuous Text Events with a SAX Filter
12.11 Using MSHTML to Parse XML or HTML




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