Python Programming Course

The Python Philosophy
Introduction to Python
Installing Python on Windows
Installing Python on Linux, Mac

Using Mathematical Operators with Numbers
Using quotes and escape character
String Concatenation and Repeater Operators

Creating and Using Lists
Deleting List Element
len() with Lists
in Operator with Lists
Common list and operations

Understanding Dictionaries
Accessing Dictionary values
Adding, Replacing and Deleting key-value pairs
Functions: get(), keys(), values() and items()

Understanding for Loops
Using Sequence Operators and Functions with Strings
Using the in Operator
Indexing and Slicing Strings

User Defined Functions
Using Parameters and Return Values
Using Arguments and Defaults Parameters
Using Global Variables and Constants

Understanding Object-Oriented Programming
Creating Classes, Methods and Objects
Using Constructor and Attributes
Using Class Attributes and Static Methods
Understanding Object Encapsulation
Private Attributes and Methods
Controlling Attribute Access
Inheritance
Polymorphism
Best Practices

The open Function
Input from Text Files
Output to Text Files
Accessing Network Files
Handling Exceptions

Using Modules in Programs
Writing Modules
Importing Modules

MySQL / MariaDB Installation
MySQL access through command prompt
DDL and DML Queries
Creating, Altering and Dropping Tables
CRUD Queries
Python & MySQLi Usage

Extracting Data from a Webpage
Manipulating Live Data from a Webpage
Creating a Weather Reporting Project
Creating an intelligent Dictionary App

OpenCV − Image processing
Numpy and Scipy libraries − For image manipuation and processing.
Scikit − for image classification
Python Imaging Library (PIL) − operations on images like create thumnails, resize, rotation etc.

Live Projects
Preparing for Interviews
Special CV for Python Jobs
Technical Interviews QAs
HR Interviews QAs