Python Online Training

Section 1: Python Introduction

• Understanding the Open source
• Understanding Interpreters
• Introduction to Scripting languages
• Evolution of python
• Installation of python

Section 2: Getting started with Python

• Creating the first python program.
• Understanding the .py extension.
• How to run the PYTHON PROGRAM

Section 3: Python Scripts execution

• Using the python command line
• Using IDLE
• Using IDEs
• Using a regular command prompt

Section 4: Variables

Section 5: Various ways of printing

Section 6: Boolean functions

Section 7: Operators

• Arithmetic
• Relational
• Logical
• Assignment
• Membership
• Identity
• Unary

Section 8: Type casting

Section 9: Type casting

Section 10: Comments

Section 11: Strings and its types

• Single line
• Multi line
• Doc strings

Section 12: Accepting inputs

• Raw inputs and normal inputs

Section 13: Control Statements:

• Sequence control
• Decision control
• if-elif-else

Section 14: Loop control

• for
• while
• for-else
• while-else

Section 15: break, continue and pass keywords

Section 16: Indexing and slicing

Section 17: Special data types

Section 18: Lists

• What are lists?
• Mutable lists.
• In operator.
• Traversing a list.
• List operations.
• Converting a list to string.
• Converting a string to list.
• Aliasing in lists.
• Functions in lists.
• Range function

Section 19: Set

• Properties
• Various operations
• Casting
• Mathematical operations

Section 20: Tuples

• What is tuples?
• Indexing in tuples.
• Slicing in tuples.
• Immutable tuples.
• Lists and tuples.
• Functions in tuples.

Section 21: Dictionaries

• Keys and values.
• In operator.
• Looping in dictionaries.
• Lookups in dictionaries.
• Dictionaries and tuples.
• Functions in dictionaries.
• Single key with multiple values
• Dictionaries vs. sets.

Section 22: Functions

• Without arguments
• With normal arguments
• With positional arguments
• With named or keyword arguments
• With default arguments
• With variable length arguments
• With dictionary arguments
• Functions returning single and multiple values
• Pass by reference
• Pass by value
• Anonymous functions
• Understanding the doc strings
• Lambda, map, filters
• Understanding the return keyword
• Global scope.
• Local scope

Section 23: Modules

• What are modules?
• Understanding the namespaces
• Various ways of importing.
• Various ways of accessing
• Aliasing
• dir () function.
• Installation of a module.
• Properties of a module
• Understanding the virtualenv.

Section 24: Packages

• Packaging a module
• Understanding init file
• Establishing the relation between the modules and Packages
• Sub packages

Section 25: Files

• Reading and writing files
• Methods of File Objects
• Modes
• Reading
• Writing
• Modify
• Executing database queries using python scripts
• File creation in the default and specific locationsv read(),readline() and readlines()
• Merging
• Files similar schema
• Files different Schema
• Flip Kart Example
• Buffering in files.

Section 26: OOPS

• OOPS Paradigm
• Differences between Procedural and Object Oriented Programming
• OOPS Approaches
• OOPS Principles

Section 27: CLASSES AND OBJECTS

• Understanding the classes in python.
• Employee class
• Using the class statement
• Creating the objects for classes
• Methods in classes.
• Differences between the methods inside the class and outside the class
• self keyword

Section 28: Encapsulation

Section 29: Inheritance types

• Single
• Multilevel
• Hierarchical
• Multiple
• Hybrid
• Problems with multiple inheritances
• Understanding the super method

Section 30: Abstraction

• Abstract methods
• Abstract classes
• Decorative
• ABC module

Section 31: Installing predefined modules

Section 32: Working with excel files

Section 33: OS Commands

Section 34: Constructors

• Parameter less
• Parameterized
• Differences between the methods and constructors
• Advantages

Section 35: Destructors

Section 36: Garbage collectors

Section 37: Exceptions

• What are exceptions?
• Various types of exceptions.
• Exception handling - try,except,else,finally
• Displaying predefined and user defined messages
• Trapping errors.
• Raising exceptions.
• Customized exceptions

Section 38: Lambda, Map and Filter functions

Section 39: Command line arguments

Section 40: Database Connectivity

• What is database and its purpose?
• Types of databases
• What is a query?
• Working with oracle/MySQL databases.
• How to install MySQL-server and oracle?
• How to know what modules to install?
• Operations
• Creation of tables
• Insertion
• Data retrieval
• Updation
• Alterations
• Deletions

Section 41: Python and MySQL

• Connecting the python application with the database
• Cursors
• Running the queries
• Fetching the required amount of data and the complete data
• Loading the data from the database tables into excel file and text file

Section 42: MULTI THREADING

• Concurrent programming
• Creating and starting a thread
• Thread module
• Improving the performance using threading
• join() function
• Ways to implement threads
• Several methods of thread class
• Thread Synchronization
• Locking mechanism

Section 43: Introduction to web framework

• What is a server, HTTP Request and HTTP Response?
• What is a web framework and web application?
• Challenges in developing web application
• Django overview and installation
• Starting a Django powered project

Section 44: Django project architecture

Section 45: Understanding different .py

• manage.py
• settings.py
• _init_.py
• wsgi.py
• urls.py
• admin.py
• models.py
• views.py

Section 46: Starting your first web application

Section 47: Django project architecture

Section 48: Python regular expression

Section 49: Running Django development server

Section 50: Working with javascript & CSS files

Section 51: Templates

Section 52: Developing standard web template

Section 53: Developing standard web template

Section 54: Template tags

Section 55: Filters in Templates

Section 56: Template API

Section 57: Django Admin

• Activating the Admin interface
• Creating super use for Admin site
• Using the Admin site
• How to use the Admin site
• The django.contrib package

Section 58: Models

Section 59: The MVC Development Pattern

Section 60: Defining Models using Python classes

Section 61: Defining Model data fields

Section 62: Initializing model using make-migrations

Section 63: Running model initialization using migrate

Section 64: Registering models in settings.py

Section 65: Registering models with Admin site

Section 66: Views and URLconfs

Section 67: Understanding the view layer

Section 68: Requesting a web page via URL

Section 69: Rendering web page via view function

Section 70: Render HTTP Response to templates

Section 71: Understanding context data and python dictionary type

Section 72: Forms

• Form basics
• GET and Post methods
• Form validation
• Rendering forms
• ModelForm

Section 73: Working with static File

• Creating static repository
• Loading static files
• Adding Image file to Template
• Advance Models, Views, Forms and Admin

Section 74: Understanding model fields in depth, Database function, Model managers

• Django ORM
• Class based views
• File submission

Section 75: Real-time project

• Python project environment setup
• Real-time Python project
• Project demonstration
• Expert evaluation and feedback

Section 76: You made it!!

• Spark Databox Python certification
• Interview preparation
• Mock interviews
• Resume preparation
• Knowledge sharing with industry experts
• Counselling to guide you to a right path in Python career