Python Programming

Detailed Course Index

Duration: 60 hours training

Job Description

Eligibility Criteria: Pass in 12th Standard/Equivalent

Detailed Course Index

Why code in Python – Some Internals

• Why do people use Python?
• What’s the downside of using Python?
• What can I do with Python?
• What Are Python’s technical strengths?
• How does Python stack up to language X?
• Most used python frameworks around the world
• Companies in Bangalore and US working on python
• Current Job scenario in Python (Why students should take this course seriously)

Different parts of the python program

• A moderately complex python program
• Understanding the structure of the program
• How is ‘main’ in Python different from ‘main’ in other languages
• Modules
• Expressions
• Statement and syntaxes

The Python Interpreter

• Program Execution
• A programmer’s view
• Python’s View
• Execution Model Variations

Briefly Describing Python Data Types

• Python’s Core Data Types
• Numbers
• Lists
• Dictionaries
• Tuples
• Files
• User Defined Classes
• Practice time: Students practicing all of the above types

The Dynamic Typing Interlude

• The Case of the Missing Declaration Statements
• Shared References

Files and Everything Else

• Files
• Object Flexibility
• References Versus Copies
• Comparisons, Equality, and Truth
• Python’s Type Hierarchies
• Built-in Type Gotchas
• Practice time: Seeing Tuples and other concepts in action

Python Statements and Syntax

• If / Else
• Loops in python
• For/While loops
• Loop coding techniques
• Decision making made simple
• Practice time: Students write a few more, bit complicated python programs

Iterations and Comprehensions

• Iterates
• The iteration protocol: file iterators
• Manual Iteration
• List Comprehensions
• List of comprehensions basics
• Using List comprehensions on files
• Extended List comprehensions syntax
• Other Iteration contexts
• Practice time: Students will write code to practice comprehensions and Iterations

The Documentation Interlude

• Python documentation sources
• Comments
• The dir() function
• DocStrings: __doc__
• Web Resources, Published books

Functions

• Function Basics
• Scopes
• Arguments
• Practice Time: Practicing different types of functions and identifying complex scope

Scenarios

Modules

• Modules the big picture
• Module Coding basics
• Module packages
• Practice Time: Creating multiple modules and linking them together in a program

Classes and OOPs

• OOPs the big picture
• Class coding basics
• Class Coding details
• Operator Overloading
• Designing with classes
• OOPs concepts in python context
• A realistic example, creating classes from the real world
• Practice time: Students design a class structure from a real-world situation and see it in action
• A look at the interview questions asked