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Python 3: An interactive deep dive

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Your First Python Program

Diving In Declaring Functions Writing Readable Code The import Search Path Everything Is An Object Indenting Code Exceptions Unbound Variables Everything is Case-Sensitive Running Scripts Further Reading

Native Datatypes

Diving In Booleans Numbers Lists Tuples Sets Dictionaries None Further Reading

Comprehensions

Diving In Working With Files And Directories List Comprehensions Dictionary Comprehensions Set Comprehensions Further Reading

Strings

Some Boring Stuff You Need To Understand Before You Can Dive In Unicode Diving In Formatting Strings Other Common String Methods Strings vs. Bytes Postscript: Character Encoding Of Python Source Code Further Reading

Regular Expressions

Diving In Case Study: Street Addresses Case Study: Roman Numerals Using The {n,m} Syntax Verbose Regular Expressions Case study: Parsing Phone Numbers Summary

Closures & Generators

Diving In I Know, Let’s Use Regular Expressions!A List Of Functions A List Of Patterns A File Of Patterns Generators Further Reading

Classes & Iterators

Diving In Defining Classes Instantiating Classes Instance Variables A Fibonacci Iterator A Plural Rule Iterator Further Reading

Advanced Iterators

Diving In Finding all occurrences of a pattern Finding the unique items in a sequence Making Assertions Generator expressions Calculating Permutations… The Lazy Way!Other Fun Stuff in the itertools Module A New Kind Of String Manipulation Evaluating Arbitrary Strings As Python Expressions Putting It All Together Further Reading

Unit Testing

(Not) Diving In A Single Question “Halt And Catch Fire”More Halting, More Fire And One More Thing…A Pleasing Symmetry More Bad Input

Refactoring

Diving In Handling Changing Requirements Refactoring Summary

Files

Diving In Reading From Text Files Writing to Text Files Binary Files Stream Objects From Non-File Sources Standard Input, Output, and Error Further Reading

XML

Diving In A 5-Minute Crash Course in XML The Structure Of An Atom Feed Parsing XML Searching For Nodes Within An XML Document Going Further With lxml Generating XML Parsing Broken XM Further Reading

Serializing Python Objects

Saving Data to a Pickle File

Loading Data from a Pickle File

Pickling Without a File

Bytes and Strings Rear Their Ugly Heads Again

Debugging Pickle Files

Serializing Python Objects to be Read by Other Languages

Saving Data to a JSON File

Mapping of Python Datatypes to JSON

Serializing Datatypes Unsupported by JSON

Loading Data from a JSON File

Further Reading

HTTP Web Services

Diving In Features of HTTP How Not To Fetch Data Over HTTP What’s On The Wire?Introducing httplib2 Beyond HTTP GET Beyond HTTP POST Further Reading

Case Study: Porting chardet to Python 3

Diving In What is Character Encoding Auto-Detection?Introducing The chardet Module Running 2to3 A Short Digression Into Multi-File Modules Fixing What 2to3 Can’t Summary

Packaging Python Libraries

Diving In Things Distutils Can’t Do For You Directory Structure Writing Your Setup Script Classifying Your Package Specifying Additional Files With A Manifest Checking Your Setup Script for Errors Creating a Source Distribution Creating a Graphical Installer Adding Your Software to The Python Package Index The Many Possible Futures of Python Packaging Further Reading

Appendix : Where To Go From Here

Things to Read Where To Look For Python 3-Compatible Code License

Loading Data from a JSON File

Like the pickle module, the json module has a load() function which takes a stream object, reads JSON-encoded data from it, and creates a new Python object that mirrors the JSON data structure.

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