Python Deep Dive for Programmers

Python refreshment

• Types
• Flow of control
• Functions
• Strings
• Collections

Functional programming in Python.

• Inner functions and closure.
• Functions as objects.
• Higher-order functions: decorator.
• Lambda functions: definition and typical uses.

Data abstraction and Advanced collection

• Magic methods: Indexed and keyed access.
• Magic methods: Sequential access – Iterator / generator protocol.
• List emulation
• Dictionar
• Bound and unbound methods.
• Using metadata.

Object-oriented programming in Python

• The need for substitutability. The Python approach: “duck typing”
• Commonality and variance. Inheritance. Abstract base class. Constructor override
• The message paradigm. Left-handed polymorphism. The principle of substitutability
• Double polymorphism: multi-methods, double dispatch
• Polymorphic Design Patterns in Python using metadata: Composite
• Design patterns made trivial in Python: Singleton, Dynamic Pluggable Factory, Factory Method, Prototype, Proxy

Error and Exception handling

• Writing to stderr
• Controlling warnings
• Exception handling
• Multiple exceptions
• The Python exception hierarchy
• The raise statement
• Raising our own Exceptions
• Assert

Packaging and Interop

• Modules
• Packaging
• Distributing packages (Egg and wheel)
• Package managers
• Documenting code – pyDoc

Unit Testing

• Test-driven design in Python
• Useful modules
• Tools

Multitasking

• Creating a process from Python
• Waiting for a child
• Using the subprocess module
• The subprocess.Popen class
• Passing data through a pipe
• Processes and threads
• Threads in Python
• Synchronisation objects in threading
• Simple use of Lock
• The trouble with threads
• Using the multiprocessing module
• Queue objects

Python standard library

• The Standard Library
• Pretty Printer
• Operating System interfaces – os and friends
• System specific attributes – sys
• Signal handling – signal
• Converting a signal to an exception
• Configuration files
• The ConfigParser module
• The datetime module and friends
• The platform module
• External function interface – ctypes
• The socket module
• collections module

Advanced Regular Expressions

• Regular expressions in python
• Multiline matching
• Named captures

Advanced Data handling

• Files
• Json and XML
• Database access – mysql

Useful Packages – The road ahead

• Web development – packages and frameworks
• GUI development – packages and frameworks
• Data analysis and scientific packages
• Machine learning – Scikit learn

• Participants must have current experience with programming with at least one programming language (not including query languages, such as SQL)
• No previous knowledge of Python is assumed