Introduction to Python and DJango Web App Development Online Training Course Curriculum

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Getting Started

• Lesson Objective- The Interactive Interpreter
• Lab exercise- Interactive Interpreter
• Getting Started Follow up

Simple Functions and Test Driven Labs

• Lesson Objectives
• Writing simple functions
• Lab exercise
• Completing Test Driven Labs
• Lab exercise
• Test Driven Labs Follow up

Types and Variables

• Types
• Strings
• Integers
• Integer Division
• Floats
• Complex

Variables

• Defining
• Dynamic Typing
• Strong Typing
• Managing your types
• Internals
• Lab exercise
• Types and Variables Follow-up

Simple Expressions

• Lesson objectives
• Boolean Evaluation
• Truthiness
• Branching (if / elif / else)
• Block Structure and Whitespace
• Lab exercise
• Simple Expressions Follow-up

Advanced: Containers

• Lists
• Lab exercise

â–ºStrings Revisited

• Lab exercise

â–ºTuples

• Lab exercise

â–ºDictionaries

• Lab exercise

â–ºSets

• Lab exercise

â–ºCollection Transitions

• Lab exercise

â–ºAdvanced Types Follow-up: A Bit More Iteration

• Lab exercise

â–ºBreak and continue

• Lab exercise

â–ºLoop-Else

• Lab exercise
• More Iteration Follow-up

Functions

• Defining
• Arguments
• Mutable Arguments and Binding of Default Values
• Accepting Variable Arguments
• Unpacking Argument Lists
• Scope
• Functions Follow-up

Exceptions

• Basic Error Handling
• Raising and re-raising exceptions
• Exceptions Follow-up

Code Organization

â–ºNamespaces

• Importing modules

â–ºCreating Modules

• Preventing execution on import
• Code Organization Follow-up

â–ºWorking with Files

• File I/O
• Iteration
• Context managers
• Duck Typing
• Working With Files Follow-up

â–ºInteracting with the Outside World

• Interacting with the Outside World Follow-up
• Regular Expressions
• The re module
• Regular Expressions Follow-up

â–ºFunctional Programming

• Functions as Objects
• Higher-Order Functions
• Sorting
• An Example of Higher-Order Functions

â–ºAnonymous Functions

â–ºNested Functions

Closures

• Lexical Scoping
• Useful Function Objects: operator

Decorators

• Functional Programming Follow-up

â–ºAdvanced Iteration

â–ºList Comprehensions

Generator Expressions

• Generator Functions
• Iteration Helpers i.e. itertools
• Chain()
• izip()
• Advanced Iterations Follow-up

â–ºDebugging Tools

â–ºLogging

â–ºPPrint

pdb

• Debugging Tools Follow-up

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Django

Introduction to Django

• What is Django?
• Django and Python
• Django’s take on MVC: Model, View and Template
• DRY programming: Don’t Repeat Yourself
• How to get and install Django
• Getting started with Django
• About the 3 Core Files:
• models.py
• urls.py
• views.py
• Setting up database connections
• Managing Users & the Django admin tool
• Installing and using ‘out of the box’ Django features

Django Forms

• Form classes
• Validation
• Authentication
• Advanced Forms processing techniques

â–ºDjango & REST APIs

â–ºDjango REST framework

â–ºDjango-piston

Class Delivery

• Live Interactive classes with expert

Delivery  Methodology

• We are using an experiential delievering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course