Programming

Module 1: 
What Why and When to use
Python syntax and Default methods
Python distributions, Installation
How Program works – deep dive
Variables

What why when

Python Syntax

Default Methods in Python

Python Distributions and Installation

How program works

M1 - Introduction to Python

Data Types and Data Structures

Slicing and Indexing

Input Output Formatting

Operators in Python

Memory Address in Python

M2 - Data Types and Data Structures

If Else

Loops in Python

Loop Controls - break continue pass

M3 - Python Program Flow

Functions1

Functions2

Scope of Functions

Arguments in Function

Efficient functions - lambda+map functions

Functions and Modules

Exceptional handling

Handling Multiple Exceptions

Capturing the exceptions

Writing Exceptions

Exceptions Handling

Different Modes of File Handling

Handling File Exceptions

File Handlings

Libraries in Python

Numpy

Pandas

Classes and Objects

Instance Methods, attributes

Classes in Python

matplotlib basics

Matplotlib

Level 1: Python BasicsModule 1:&nbsp; Introduction to Python•What Why and When to use•Python syntax and Default methods•Python distributions, Installation•How Program works – deep dive•VariablesModule 2: Data Type and Data Structure•Data Types and Data Structure•Variables and typecasting•Operators•String, List, Set, Tuple, Dictionary•Indexing and Slicing•Input and Output formatting•Memory address•Interview QuestionsModule 3: Python Program Flow•Indentation•Conditional statements – if, elif, else•Loops – for, while, zip with for•break, continue, pass•Interview QuestionsModule 4: Functions, Modules and Packages•Creating Functions•Scope of a Function•Arguments, default arguments•Lambda Function and map•Creating a Module and standard Modules•Packages•Interview QuestionsModule 5: Exceptions Handling•Exception handling with try-except•Capturing the exceptions•Handling Multiple Exceptions•Writing the ExceptionModule 6: File Handlings•Different modes for file handling•Reading and Writing Files•Appending to file•Handling file exceptionsModule 7: Libraries in Python•Numpy, Pandas, MatplotlibLevel 2: Python Intermediate/advancedModule 8:&nbsp; Classes in Python•Creating classes and it’s objects•Instance Methods, attributes•Inheritance, Polymorphism•Use of Super•Exception ClassesModule 9: Generators and Iterators•Generators•Iterators•With Statement•Data CompressionModule 10: Comprehensions•List Comprehensions•Nested List Comprehensions•Dictionary ComprehensionsModule 11:&nbsp; Problem Solving skills•50+ Interview questions•Problems solving approach•Develop problem solving thinking

Python Programming

Course content

Course Description