Course Overview

• Object Oriented Programming(OOPS)
  • Introduction to object-oriented programming in Python.
  • How to create new objects, overload operators, and utilize Python special methods.
  • Python Object Model- objects, the object lifecycle, object representation, attribute binding, inheritance, and special properties of classes including descriptors, properties, slots, private attributes, static methods, and class methods.
• Introduction to Python
  • An introduction to the Python programming language.
  • How to start and stop the interpreter and write programs.
  • Python's basic datatypes, files, functions, and error handling.
• Working with Data
  • A detailed tour of how to represent and work with data in Python.
  • Covers tuples, lists, dictionaries, and sets.
  • List processing primitives such as list comprehensions.
  • Understanding Object model including variables, reference counting, copying, and type checking.
• Program Structure, Control Flow, Functions,and Exceptions
  • Organize larger programs and how to reuse code.
  • Covers more advanced aspects of Python control-flow and expands upon how to define and use functions.
  • Scoping rules, documentation strings, anonymous functions, exec, and eval.

• Modules, Packages, and the Standard Library
  • Organizing programs into modules and packages.
  • Expands upon further details of Python variable scoping rules and use of namespaces.
  • Commonly used library modules and instructions on how to install third party library modules.
• Python Classes
  • Working with Objects- encapsulation of data and algorithms, how to organize inheritance hierarchies, abstract classes, and useful design patterns. A major theme of this section focuses on how to implement code so that there is a loose-coupling between different software components.
  • Object Persistence- Save, restore, copy, and serialize objects.
  • Covers the marshal, pickle, shelve, and struct modules.
  • How to use the programming API to interface with relational databases such as MySQL and Oracle.
• Documentation, Testing, and Debugging
  • Covers documentation strings and program testing using both the doctest and unittest modules.
  • Python debugger and profiler.
  • Iterators, Generators, Closures, and Decorators
• Working with Text
  • Efficiently parse and generate text data in Python.
  • Topics include string splitting, string stripping, string joining, and template strings.
  • This section also covers the re module, Python's module for regular expression pattern matching and substitution.
  • Files and the file system-File I/O in Python.
  • Topics include how to work with files and directories in a portable manner as well as unicode I/O.
  • Also covers useful modules for working with a wide variety of common file formats such as zip, gzip, bzip, tar, and CSV.

• Working with Processes
  • Python interpreter process including command line options, environment variables, and I/O.
  • Difficulties while interacting with other processes and applications from Python is then discussed with detailed coveraged of the subprocess module.
• Concurrency
  • Detailed coverage on different options for writing concurrent programs in Python.
  • Topics include threads, message queues, co-routines, and co-processes.
  • Special emphasis will be given to a technique of writing concurrent programs that is highly portable and easy to adapt to a variety of different system configurations.
• Configuration and logging
  • This section focuses on two important problems that are often overlooked in systems programming classes---namely how to deal with application configuration files and how to add a logging capability to a program.
  • Special attention is given to the ConfigParser and logging modules.
• Network Fundamentals
  • Basic concepts of network programming.
  • Covers the essential details of TCP/IP and the essential concepts of socket programming.

• Client-side programming

Client side programming using HTTP, FTP, SMTP, and XML-RPC. Including urllib2 module that allows Python to interact with web servers.

• COM on Windows

This section discusses how Python can integrate with COM on Windows. This allows Python to script common Windows applications. In addition, this integration allows Python to provide customized services to other COM-based applications.

• XML

A survey of XML processing options in Python. Discuss the three major XML interfaces; SAX2, DOM, and the ElementTree API.

• Embedding Python

How to embed the Python interpreter into other applications.