Dive Into Python 3 + source code
Date: 15 April 2011, 14:46
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Dive Into Python is a Python book for experienced programmers. Whether you’re an experienced programmer looking to get into Python or grizzled Python veteran who remembers the days when you had to import the string module, Dive Into Python is your ’desert island’ Python book. If you’ve never programmed before, Python is an excellent language to learn modern programming techniques. But this book should not be your starting point. Get "How to Think Like a Computer Scientist: Learning with Python" by Allen Downey, Jeffrey Elkner, Chris Meyers and learn the basics. Then dive into this book. Dive Into PYTHON was written by Mark Pilgram and is distributed under the GNU Free Documentation License. * Money raised from the sale of this book supports the development of free software and documentation. Table of Contents * 1. Installing Python o 1.1. Which Python is right for you? o 1.2. Python on Windows o 1.3. Python on Mac OS X o 1.4. Python on Mac OS 9 o 1.5. Python on RedHat Linux o 1.6. Python on Debian GNU/Linux o 1.7. Python Installation from Source o 1.8. The Interactive Shell o 1.9. Summary * 2. Your First Python Program o 2.1. Diving in o 2.2. Declaring Functions + 2.2.1. How Python’s Datatypes Compare to Other Programming Languages o 2.3. Documenting Functions o 2.4. Everything Is an Object + 2.4.1. The Import Search Path + 2.4.2. What’s an Object? o 2.5. Indenting Code o 2.6. Testing Modules * 3. Native Datatypes o 3.1. Introducing Dictionaries + 3.1.1. Defining Dictionaries + 3.1.2. Modifying Dictionaries + 3.1.3. Deleting Items From Dictionaries o 3.2. Introducing Lists + 3.2.1. Defining Lists + 3.2.2. Adding Elements to Lists + 3.2.3. Searching Lists + 3.2.4. Deleting List Elements + 3.2.5. Using List Operators o 3.3. Introducing Tuples o 3.4. Declaring variables + 3.4.1. Referencing Variables + 3.4.2. Assigning Multiple Values at Once o 3.5. Formatting Strings o 3.6. Mapping Lists o 3.7. Joining Lists and Splitting Strings + 3.7.1. Historical Note on String Methods o 3.8. Summary * 4. The Power Of Introspection o 4.1. Diving In o 4.2. Using Optional and Named Arguments o 4.3. Using type, str, dir, and Other Built-In Functions + 4.3.1. The type Function + 4.3.2. The str Function + 4.3.3. Built-In Functions o 4.4. Getting Object References With getattr + 4.4.1. getattr with Modules + 4.4.2. getattr As a Dispatcher o 4.5. Filtering Lists o 4.6. The Peculiar Nature of and and or + 4.6.1. Using the and-or Trick o 4.7. Using lambda Functions + 4.7.1. Real-World lambda Functions o 4.8. Putting It All Together o 4.9. Summary * 5. Objects and Object-Orientation o 5.1. Diving In o 5.2. Importing Modules Using from module import o 5.3. Defining Classes + 5.3.1. Initializing and Coding Classes + 5.3.2. Knowing When to Use self and __init__ o 5.4. Instantiating Classes + 5.4.1. Garbage Collection o 5.5. Exploring UserDict: A Wrapper Class o 5.6. Special Class Methods + 5.6.1. Getting and Setting Items o 5.7. Advanced Special Class Methods o 5.8. Introducing Class Attributes o 5.9. Private Functions o 5.10. Summary * 6. Exceptions and File Handling o 6.1. Handling Exceptions + 6.1.1. Using Exceptions For Other Purposes o 6.2. Working with File Objects + 6.2.1. Reading Files + 6.2.2. Closing Files + 6.2.3. Handling I/O Errors + 6.2.4. Writing to Files o 6.3. Iterating with for Loops o 6.4. Using sys.modules o 6.5. Working with Directories o 6.6. Putting It All Together o 6.7. Summary * 7. Regular Expressions o 7.1. Diving In o 7.2. Case Study: Street Addresses o 7.3. Case Study: Roman Numerals + 7.3.1. Checking for Thousands + 7.3.2. Checking for Hundreds o 7.4. Using the {n,m} Syntax + 7.4.1. Checking for Tens and Ones o 7.5. Verbose Regular Expressions o 7.6. Case study: Parsing Phone Numbers o 7.7. Summary * 8. HTML Processing o 8.1. Diving in o 8.2. Introducing sgmllib.py o 8.3. Extracting data from HTML documents o 8.4. Introducing BaseHTMLProcessor.py o 8.5. locals and globals o 8.6. Dictionary-based string formatting o 8.7. Quoting attribute values o 8.8. Introducing dialect.py o 8.9. Putting it all together o 8.10. Summary * 9. XML Processing o 9.1. Diving in o 9.2. Packages o 9.3. Parsing XML o 9.4. Unicode o 9.5. Searching for elements o 9.6. Accessing element attributes o 9.7. Segue * 10. Scripts and Streams o 10.1. Abstracting input sources o 10.2. Standard input, output, and error o 10.3. Caching node lookups o 10.4. Finding direct children of a node o 10.5. Creating separate handlers by node type o 10.6. Handling command-line arguments o 10.7. Putting it all together o 10.8. Summary * 11. HTTP Web Services o 11.1. Diving in o 11.2. How not to fetch data over HTTP o 11.3. Features of HTTP + 11.3.1. User-Agent + 11.3.2. Redirects + 11.3.3. Last-Modified/If-Modified-Since + 11.3.4. ETag/If-None-Match + 11.3.5. Compression o 11.4. Debugging HTTP web services o 11.5. Setting the User-Agent o 11.6. Handling Last-Modified and ETag o 11.7. Handling redirects o 11.8. Handling compressed data o 11.9. Putting it all together o 11.10. Summary * 12. SOAP Web Services o 12.1. Diving In o 12.2. Installing the SOAP Libraries + 12.2.1. Installing PyXML + 12.2.2. Installing fpconst + 12.2.3. Installing SOAPpy o 12.3. First Steps with SOAP o 12.4. Debugging SOAP Web Services o 12.5. Introducing WSDL o 12.6. Introspecting SOAP Web Services with WSDL o 12.7. Searching Google o 12.8. Troubleshooting SOAP Web Services o 12.9. Summary * 13. Unit Testing o 13.1. Introduction to Roman numerals o 13.2. Diving in o 13.3. Introducing romantest.py o 13.4. Testing for success o 13.5. Testing for failure o 13.6. Testing for sanity * 14. Test-First Programming o 14.1. roman.py, stage 1 o 14.2. roman.py, stage 2 o 14.3. roman.py, stage 3 o 14.4. roman.py, stage 4 o 14.5. roman.py, stage 5 * 15. Refactoring o 15.1. Handling bugs o 15.2. Handling changing requirements o 15.3. Refactoring o 15.4. Postscript o 15.5. Summary * 16. Functional Programming PassWord: crypt3m4
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