Course Content

Module 1: File Processing and Communicating with a Program’s Environment

Objectives covered by the module 

• Processing different kinds of files
  • sqlite3– interacting with SQLite databases
  • xml– creating and processing XML files
  • csv– CSV file reading and writing
  • logging– basics logging facility for Python
  • configparser– configuration file parser
• Communicating with a program’s environment:
  • os– interacting with the operating system,
  • datetime– manipulating with dates and time
  • io– working with streams,
  • time– time access and conversions

Module 2: Math, Science, and Engineering Tools

Objectives covered by the module

• math – a basic tool for elementary evaluations
• NumPy – fundamental package for scientific computing
• SciPy – an ecosystem for mathematics, science, and engineering
• Matplotlib – 2D plotting library producing publication quality figures
• Pandas – a library providing high-performance and data analysis tools
• SciKit-image – a collection of algorithms for image processing

Module 3: GUI Programming

Objectives covered by the module

• What is GUI and where it comes from
• Constructing a GUI – basic blocks and conventions
• Event-driven programming
• Currently used GUI environments and toolkits
• tkinter— Python interface to Tcl/Tk
  • tkinter’s application life cycle
  • Widgets, windows and events
  • Sample applications
• pygame– a simple way of developing multimedia applications

Module 4: Python Enhancement Proposals

Objectives covered by the block

• What is PEP?
• Coding conventions – not only style and naming
• PEP 20 – The Zen of Python: a collection of principles that influences the design of Python code
• PEP 8 – Style Guide for Python Code: coding conventions for code comprising the standard library in the main Python distribution
• PEP 257 – Docstring Conventions: what is docstring and some semantics as well as conventions associated with them
• A tour of important PEPs

Module 5: Advanced Perspective of Classes and Object-Oriented Programming in Python

Objectives covered by the module

• Classes, Instances, Attributes, Methods
• Working with class and instance data
• Copying object data using shallowand deep operations
• Inheritance and Polymorphism
• Different faces of Python methods: staticand class methods
• Abstract classes vs. method overloading
• Composition vs. Inheritance – two ways to the same destination
• Implementing Core Syntax
• Subclassing built-ins
• Attribute Encapsulation
• Advanced techniques of creating and serving exceptions
• Serialization of Python objects using the picklemodule
• Making Python object persistent using the shelvemodule
• Metaprograming
  • Function decorators
  • Class decorators
  • Metaclasses