• Define Python
• Know why Python is popular
• Setup Python environment
• Discuss flow control
• Write your first Python program

Topics:

• Get an overview of Python  
• Learn about Interpreted Languages  
• List the Advantages/Disadvantages of Python  
• Explore Pydoc  
• Start Python  
• Discuss Interpreter PATH
• Use the Interpreter  
• Run a Python Script  
• Discuss Python Scripts on UNIX/Windows  
• Explore Python Editors and IDEs  
• Use Variables, Keywords, Built-in Functions, Strings, Different literals, Math operators and expressions, Writing to the screen, String formatting, Command line parameters and Flow Control. 

Hands On:

• Data types - string, numbers, dates
• Keywords
• Variables
• Literals

• Define Reserved Keywords and Command Line Arguments
• Describe how to Get User Input from Keyboard
• Describe Flow Control and Sequences
• Practice Working with Files
• Define and Describe Dictionaries and Sets

Topics:

• Lists
• Tuples
• Indexing and Slicing
• Iterating through a sequence
• Functions for all sequences
• Using enumerate()
• Operators and keywords for sequences
• The xrange()function
• List comprehensions
• Generator expressions
• Dictionaries and sets.
• Working with files
• Modes of opening a file
• File attributes
• File methods

Hands On:

• List - properties, related operations
• Tuple - properties, related operations, comparison with list
• Dictionary - properties, related operations, comparison with list
• Set - properties, related operations, comparison with dictionary

• Explain Functions and various forms of Function Arguments
• Explain Standard Library
• Define Modules
• Describe Zip Archives and Packaging

Topics:

• Functions
• Function Parameters
• Global variables
• Variable scope and Returning Values
• Sorting
• Alternate Keys
• Lambda Functions
• Sorting collections of collections
• Sorting dictionaries
• Sorting lists in place
• Errors and Exception Handling
• Handling multiple exceptions
• The standard exception hierarchy using Modules
• The Import statement
• Module search path
• Package installation waysModule Aliases and Regular Expressions

Hands On / Demo :

• Functions - syntax, arguments, keyword arguments, return values
• Lambda - features, syntax, options, comparison with functions
• Sorting - sequences, dictionaries, limitations of sorting
• Errors and exceptions - types of issues, remediation
• Packages and module - modules, import options, sys path

• Implement Regular Expression and its Basic Functions
• Use Classes, Objects, and Attributes
• Develop applications based on Object Oriented Programming and Methods

Topics:

• The sys Module
• Interpreter information
• STDIO
• Launching external programs
• Paths
• Directories and filenames
• Walking directory trees
• Math Function
• Random Numbers
• Dates and Times
• Zipped Archives
• Introduction to Python Classes
• Defining Classes
• Initializes
• Instance methods
• Properties
• Class methods and data
• Static methods
• Private methods and Inheritance

Hands On:

• Regular expressions - regex library, search/match object, findall, sub, compile
• Classes - classes and objects, access modifiers, instance and class members
• OOPS paradigm - Inheritance, Polymorphism and Encapsulation in Python

• Debug python scripts using pdb
• Debug python scripts using IDE
• Classify Errors
• Develop Unit Tests
• Create project Skeletons
• Implement Database using SQLite
• Perform CRUD operations on SQLite database

Topics:

• Debugging
• Dealing with errors
• Using unit tests
• Project Skeleton
• Required packages
• Creating the Skeleton
• Project Directory
• Final Directory Structure
• Testing your set up
• Using the skeleton
• Creating a database with SQLite 3
• CRUD operations
• Creating a database object.

Hands On:

• Debugging - debugging options, logging, troubleshooting
• Unit testing - TDD, unittest library, assertions, automated testing
• Project skeleton - industry standard, configurations, sharable libraries
• RDBMS - Python for RDBMS, PEP 49, CRUD operations on Sqlite

• Explain Web Framework 
• Explain MVC pattern
• Create a basic Django app
• Create Views
• Use HTTP request and response objects
• Use URLConf 

Topics :

• Web development
• Introduction to Django Web Framework
• Features of Django
• Installing Django
• MVC model
• HTTP concepts
• Views
• URL Mapping

Hands On/Demo :

• Create a simple View using Django

• Explain the Django Template System
• Load Template Files
• Render Templates
• Create Forms
• Process Form Data
• Customize Form Field Validation

Topics :

• Django Template Language
• Utilities of Templates
• Creating Template Objects
• Tags, Variables and Filters
• Rendering Templates
• Template Inheritance
• Form Handling
• Form validation and Error Messages
• Form Display

Hands On/Demo :

• Create a Form that accepts personal data to from a user

• Define Database Models
• Use Model Fields
• Populate a Database, CRUD
• Use QuerySets for data retrieval
• Use jQuery and AJAX with Django to create Dynamic websites

Topics :

• Django Models
• Model Fields
• Model Inheritance
• CRUD on DB
• Primary keys and the Model
• Dynamic Webpages
• Toggle Hidden Content
• jQuery and AJAX integration

Hands On/Demo :

• Adding a Like button to a webpage

• Explain Data Serialization
• Use Django’s REST Framework
• Use Serializers and Deserializers
• Use Model Serializers
• Use REST APIs

Topics :

• Serialization and Deserialization
• Django REST Framework
• Serializer class
• Model Serializers
• REST APIs

Hands On/Demo :

• Creating a REST API

• Explain XML and JSON file formats 
• Explain XML-RPC
• Parse data stored in both XML and JSON formats
• Stores data in XML and JSON formats

Topics :

• XML-RPC
• XML, parsing object to XML and back
• JSON, parsing object to JSON and back

Hands On/Demo :

• Parse data stored in XML/JSON format to native Python type and vice-versa

• Discuss the core construct of the Python Programming Language
• Explain the data structures used in Python
• Explain the approach of the Object-Oriented programming paradigm
• Discuss exceptions and errors in the program 
• Debug programs
  
• Play with databases and data persistence in the Database or some flat files
• Create Views and map URLs in Django
• Use the Django Template System
• Define Database Models for representing tables
• Create REST APIs

• Disqus, Facebook, Instagram, Pinterest, NASA, The Washington Post and other top companies use Python with Django. For web developers, this means that mastering Python and its popular advanced frameworks like Django should ensure you’re able to find work or even build your own product or service as a startup.
• Python is an ideal option for bootstrappers and startups because of its quick deployment and—as mentioned earlier—lesser amount of required code next to Java, C, and PHP among others.
• Python Django framework supports the use of human-readable website URLs, which isn’t only helpful from the actual user’s perspective, but also to search engines, which use the keywords in the URL when ranking sites.
• Django prevents a number of common security mistakes better than say, PHP does.
• Moreover, average salary of a Django professional is $117,000 / year in US alone as reported by Indeed.com 

The following professionals can go for this Python Django Training by edureka :

• Web Developers
• UI Developers and Technical Leads
• Full Stack Developers
• QAs, Architects, and Technical Project Managers

• Create a Django project and an app within the project
• Design the right model for storing user and poll data
• Create the right views for viewing polls and poll results
• Optimize code using the Django template system

• View the recorded session of the class available in your LMS.
• You can attend the missed session in any other live batch.