We won't cover the mutable sequence, mutable mapping, and mutable set here. Since we have only covered one representative type of each protocol, the generality afforded by the protocol concept doesn't gain us much at this juncture.
- Preface
- Getting started
- Obtaining and installing Python 3
- Starting Python command line REPL
- Leaving the REPL
- Code structure and significant indentation
- Python culture
- Importing standard library modules
- Getting help()
- Scalar data types: integers, floats, None and bool
- Relational operators
- Control flow: if-statements and while-loops
- Summary
- Strings and Collections
- Modularity
- Built-in types and the object model
- Exploring Built-in Collection types
- tuple – an immutable sequence of objects
- The tuple constructor
- Strings in action
- Moment of zen
- range – a collection of evenly spaced integers
- list in action
- Negative indexing for lists (and other sequences)
- Slicing lists
- Copying lists
- Shallow copies
- Repeating lists
- Finding list elements with index()
- Membership testing with count() and in
- Removing list elements by index with del
- Removing list elements by value with remove()
- Inserting into a list
- Concatenating lists
- Rearranging list elements
- Out-of-place rearrangement
- Dictionaries
- set – an unordered collection of unique elements
- Collection protocols
- Summary
- Exceptions
- Exceptions and control flow
- Handling multiple exceptions
- Programmer errors
- Empty blocks – the pass statement
- Exception objects
- Imprudent return codes
- Re-raising exceptions
- Exceptions are part of your function's API
- Guard clauses
- Exceptions, APIs, and protocols
- Choosing not to guard against TypeError
- Pythonic style – EAFP versus LBYL
- Clean-up actions
- Moment of zen
- Platform-specific code
- Summary
- Comprehensions, iterables, and generators
- Comprehensions
- Moment of zen
- Iteration protocols
- Generator functions
- Generator expressions
- Batteries included iteration tools
- Pulling it all together
- Summary
- Defining new types with classes
- Defining classes
- Instance methods
- Instance initializers
- Validation and invariants
- Adding a second class
- Collaborating classes
- Moment of zen
- Booking seats
- Naming methods for implementation details
- Sometimes the only object you need is a function
- Polymorphism and duck-typing
- Inheritance and implementation sharing
- Summary
- Files and Resource Management
- Unit testing with the Python standard library
- Debugging with PDB
- Afterword – Just the Beginning
- Virtual Environments
- Packaging and Distribution
- Installing Third-Party Packages
Other protocols
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