Practical Python Programming

Practical Python Programming Online Training course curriculum

Introduction: Features of Python

• Installation
• Python Interpreter
• Basic Syntax
• Operators

Working with Data

• Tuples, Lists, Dictionaries, and Sets.
• NumPy arrays.
• Object model including variables, reference counting, copying.
• Processing primitives.

Program Organization and Functions

• Design function
• Scoping rules

Modules and Libraries

• Organizing programs into modules
• Using Modules to create extensible programs.
• Commonly used library modules including those related to system administration, text processing, sub processes, XML parsing, binary data handling, and databases.

Classes and Objects

• Introduction to object-oriented programming.
• Create new objects, overload operators, and utilize Python special methods.
• Inheritance and composition.

Inside the Python Object System

• Detailed look into how objects are implemented in Python.
• Object representation
• Attribute binding
• Inheritance, memory management
• Classes properties
• Classes slots, and private attributes.

Testing, Debugging, and Software Development Practice.

• Important to Python software development.
• Program testing using both the doctest and unittest modules
• Use of assertions.
• The Python debugger and profiler

Iterators and Generators

• Iteration protocol and iterable objects,
• Data processing pipelines
• Processing large datafiles, handling infinite data streams.

The role of Python in BIG Data Analysis

The role of Python in financial calculation and analysis