Practical Python Programming

Practical Python Programming Online course is designed for new software developers, scientists, engineers and analysts who like to build their career as BIG Data Programmers using Python, complex financial calculations and Python for web developers. The course focuses on to the Python programming language, standard library, and Python programming techniques. The course is strongly focused on practical applications including scripting, data processing, systems administration, and integrating Python with other software.

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