Python II: Applied Python (3.X)


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Course Outline

This advanced Python training is for students that have mastered the basics of Python via our introductory Python course or their own work, and are now ready to move on to applying Python to daily programming needs. This course picks up where Python I leaves off, covering some topics in more detail, and adding many new ones, with a focus on enterprise development.

This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by lab exercises. Many labs build on earlier labs, which helps students retain the earlier material.

  1. Python refresher
    1. Data types
    2. Sequences
    3. Mapping types
    4. Program structure
    5. Files and console I/O
    6. Conditionals
    7. Loops
    8. Builtins
  2. OS Services
    1. The os module
    2. Environment variables
    3. Launching external commands
    4. Walking directory trees
    5. Paths, directories, and filenames
    6. Working with file systems
    7. Dates and times
  3. Pythonic Programming
    1. The Zen of Python
    2. Common idioms
    3. Lambda functions
    4. List comprehensions
    5. Generator expressions
    6. String formatting
  4. Modules and packages
    1. Initialization code
    2. Namespaces
    3. Executing modules as scripts
    4. Documentation
    5. Packages and name resolution
    6. Naming conventions
    7. Using imports
    8. Distributing modules
  5. Classes
    1. Defining classes
    2. Instance methods and data
    3. Initializers
    4. Class methods
    5. Static methods
    6. Inheritance
    7. Multiple inheritance
    8. Pseudo-private variables
  6. Metaprogramming
    1. Implicit properties
    2. globals() and locals()
    3. Attributes
    4. The inspect module
    5. Decorators
    6. Monkey patching
  7. Enterprise development
    1. Analyzing programs
    2. unittest overview
    3. Simple unit tests
    4. Creating and running test suites
  8. Database access
    1. The DB API
    2. Available Interfaces
    3. Connecting to a server
    4. Creating and executing a cursor
    5. Fetching data
    6. Parameterized statements
    7. Metadata
    8. Transaction control
  9. GUI Programming with tkinter
    1. Overview
    2. The mainwindow object
    3. Widgets
    4. Colors and fonts
    5. GUI layout
    6. Event handling
  10. Network Programming
    1. Sockets
    2. TCP/IP Clients and Servers
    3. Forking or threaded servers
    4. Working with binary data
    5. Providing RESTful services
  11. Threads
    1. Why use threads?
    2. The threading module
    3. Sharing variables
    4. The queue module
    5. Debugging threaded programs
  12. Revving up your code
    1. Tracing execution
    2. Simple benchmarks with timeit
    3. Creating profiles with cProfile
    4. Advanced profiling
    5. Checking memory with melerai (???)
  13. XML and JSON
    1. Working with XML
    2. XML modules in Python
    3. Getting started with ElementTree
    4. Parsing XML
    5. Updating an XML tree
    6. Creating a new document
    7. About JSON
    8. Reading JSON
    9. Writing JSON
  14. Extending Python with C
    1. About non-Python modules
    2. Overview of a C extension
    3. Creating functions
    4. Registering functions
    5. Initialization code
    6. Loading the module

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