Best Python Course in Bangalore

COURSE CONTENT/SYLLABUS FOR PYTHON COURSE : Duration- 50 Hours

Introduction to Python & Python Fundamentals:

•  Python Interpreter and its Environment
•  Python programming building blocks like Variables
•  Data Types and their functions

Python Basics

•  Arrays, Lists and Tuples
•  Dictionaries and Sets
•  Array and List related functions
•  Arithmetic  Operators
•  Assignment Operators
•  Comparison Operators
•  Logical Operators
•  Conditional/ ternary Operators

Python Control Structures

•  If Statements
• While construct
•  For Statements
• Looping Techniques over data structures
• The range() function
•  Break and Continue Statements
•  Statements and else clauses in loops
•  Pass Statements
•  List Comprehensions

Functions 

•  Local variables
•   Default Argument Values
•   Returning Values
•   Keyword & Positional Arguments
•   Arbitrary Argument Lists
•   Unpacking Argument Lists
•   Lambda Forms
•  Documentation Strings

Modules

•  Executing modules as scripts
•  The Module Search Path
•  Building Modules 
•  'Compiled' Python files
•   various Standard Modules/libraries
•   The dir() function
•   Debugging Python Code
•   Logging in Python
• Unit testing in Python
•   Static code analysis

I/O & Exception handling

•  Standard Input and Output I/O
•  File I/O
• Python File & Directory functions
•  Introduction to subprocess module
•  Handling Exceptions
•  Raising Exceptions
•  Userdefined Exceptions
•  Cleanup Actions
•  Try/finally clauses

Regular Expressions

•  What are regular expressions
•  Matching characters
• Compiling regular expressions
•  Strings and Slices
•  Modifying Strings
•  Use of triple quotes
•  Repetition
•  Emails example
•  Group extraction and Substitution

OOPs in Python

•  Class definition syntax
•  Class Objects, Instance Objects, Method Objects; Instantiation  Inheritance
•   Data Member  Class variable/Instance
• Function overloading
• Operator overloading
• Pickle module
• The dir() function
•  Packages
• Intrapackage References

Standard libraries

• os 
• sys 
• datetime
• random
• math
• pickle
• subprocess

Database Programming

• Connecting to a database server
• Connecting to different databases like MySQL, SQLite
•  CURD operations
•  Transactions management 

Threads

• Introduction to Threads
• Thread creation.
• Java style threads
• Locking mechanisms

Web Programming

• Introduction to Bottle framework
• Sample program
• Taking inputs from urls

Introduction to Jinja2

• Sample template to create web pages
• Creation of login screen using bottle and mysql
• Displaying pictures/static files

Blog Creation

• Assignment to complete and understand all the things learnt

Django web framework

• Introduction to Django
• Sample program
• Templatization using django
• Databse interation using Django 

COURSE CONTENT/SYLLABUS FOR FULL STACK PYTHON DEVELOPER COURSE : Duration- 50 Hours

Python – Django – React&Redux – Django RESTful Framework – MongoDB – Kafka

Python with Django, React & Redux, Django RESTful Framework, MongoDB, Kafka course is designed to teach learners to program in Python in a practical and hands-on manner using the industry standard methods, tools and technologies. It is not only teaching the Python, Django, RESTful programing but also improves their algorithmic thinking and Real-time problem solving capabilities so that they can write code that works and produces the desired functional results. In addition, learners will work on a project in a different area such as web development, REST API development along with MongoDB, Kafka.

Module-1: Python Programming                                                               

Python is a high-level general-purpose cross-platform programming language created by Guido Rossum in 1989. It has been one of the most popular programming languages of the recent years and has many areas of application from web applications to data science and machine-learning & Deep Learning. Python is easy to learn because of its intuitive and natural syntax. It is also a highly productive programming language, which allows you to build complex applications quickly with minimal lines of code.

Python Introduction

• What is Python
• Why Python
• Who Uses Python & Where we can use Python
• Characteristics of Python
• Unique features of Python
• Limitations of Python
• Python Applications
• Different versions of Python

Python Installation

• Python Installation
• PyCharm IDE Installation
• How to Work on PyCharm
• PyCharm Components
• Write and Run python code on PyCharm

Language Fundamentals

• Python Variable/Identifiers
• Variable, Variable names and Value
• What is Indentation
• Python Reserved Words
• Introduction to Python Data Types
• Data Types - int
• Data Types - float
• Data Types - complex
• Data Types - bool
• Data Types - str
• Type Casting - int(), float(), bool(), complex(), str() functions

Python Operators

• Introduction to Python Operators
• Python Arithmetic Operators
• Python Relational Operators
• Python Equality Operators
• Python Logical Operators
• Python Assignment Operator
• Python Ternary Operator
• Operator Precedence

Input and Output Statements

• Read input data from keyboard
• How to Read Multiple Values from the keyboard
• What is eval() function
• Command Line Arguments
• Printing to the Screen
• Format printing text

Python Flow Control

• Introduction and Indentation
• "if condition" in conditional structures
• if statement (One-Way Decisions)
• if .. else statement (Two-way Decisions)
• if .. elif .. else statement (Multi-way)
• How to use "for loop"
• How to use "While Loop"
• Transfer Statements - break statement
• Transfer Statements - continue statement
• pass statement
• del statement

Python Strings

• Defining a string
• Accessing Values in Strings
• Various String Operators
• Indexing and Slicing with Strings
• Comparison & Mathematical Operators
• String methods

Python Data Structure: List

• Introduction to List data structure
• Lists are mutable
• List Properties
• Creation a List Object
• Accessing Elements of List By using index and Slice operator
• Traversing Elements of the List
• Important Methods and Functions of List
• Ordering Elements of List
• Nested Lists
• List Comprehension

Python Data Structure: Tuple

• Introduction to Tuple data structure
• Advantages of Tuple over List
• Tuple Properties
• Single Valued Tuple
• Creation of Tuple Object
• Accessing Elements of Tuple By using index and Slice operator
• Packing and Unpacking
• Important Methods and Functions for Tuple
• Reversing and Sorting Elements of Tuple
• Differences between List and Tuple

Python Data Structure: Set

• Introduction to Set data structure
• Set Properties
• Creation of Set Object
• Important Methods and Functions for Set

Python Data Structure: Dictionary

• Introduction to Dictionary data structure
• Dictionary Properties
• Creation of Dictionary Object
• How to access, add, update and delete data from dictionary
• Important Methods and Functions for dictionary

Python Functions

• What is a function?
• What is the need of Functions and its advantages?
• Types of Functions
• How to define and call a function in Python
• Return Statement
• How to return multiple values from a function
• Types of Arguments: Positional Arguments
• Types of Arguments: Keyword Arguments
• Types of Arguments: Default Arguments
• Types of Arguments: Variable Length Arguments
• Types of Variables: Global and Local
• Anonymous Functions/Lambda Functions
• filter() function
• map() Function
• reduce() Function

Advanced Python- Modules

• What is a Module?
• Types of Modules
• How to write and use Module and Its Advantages
• The import Statement
• The from…import Statement
• ..import * Statement
• Underscores in Python
• The dir( ) Function
• Creating User defined Modules
• Command line Arguments
• Python Module Search Path

Advanced Python- Packages

• What is a Package?
• Introduction to Packages?
• py file
• Importing module from a package
• Creating a Package
• Creating Sub Package
• Importing from Sub-Packages
• Popular Python Packages

Python Object Oriented Programming (OOPs)

• Introduction to OOPs Programming
• How to define a class?
• self-variable
• Python Constructors
• Method vs Constructor
• Types of Variables - Instance, Static and Local
• Types of Methods - Instance, Class and Static
• Instance Methods Introduction
• Setter and Getter Methods
• Class Methods Introduction
• Static Methods Introduction
• Instance Method vs Class Method vs Static Method
• Accessing Members of one class inside another class
• Inner classes Introduction
• Nesting of Inner Classes
• Nested Methods
• Garbage Collection Introduction
• How to enable and disable Garbage Collector
• Destructor Introduction
• Inheritance Introduction
• Polymorphism Introduction
• Abstract Method and Abstract Class
• Interfaces In Python
• Interface vs Abstract Class vs Concrete Class
• Public Members
• Private Members
• Protected Members
• Data Hiding
• Abstraction
• Encapsulation

Python Exception Handling

• Python Errors (Syntax Error vs Runtime Error)
• Common Runtime Errors in PYTHON
• Abnormal termination
• Try … Except
• Try .. Except .. else
• Chain of importance Of Exception
• Exception Handling
• Try … finally
• Argument of an Exception
• Python Custom Exceptions

Module-2: HTML5

The Hypertext Markup Language or HTML is the standard markup language for documents designed to be displayed in a web browser. 

• Introduction to HTML
• HTML structure
• URL Reference Techniques
• Semantic Elements of HTML5
• HTML TAGS, Sections, Divisions, Buttons & Attributes
• List, Tables and Forms
• Form Control Elements

Module-3: CSS3

Cascading Style Sheets is a style sheet language used for describing the presentation of a document written in a markup language such as HTML. CSS is a cornerstone technology of the World Wide Web, alongside HTML and JavaScript.

• Introduction to CSS
• CSS Box Model
• Levels Of Stylesheets
• CSS Box Model
• Selectors in CSS
• Chrome Developer Tools
• Colors, Padding, Margin etc.
• CSS Stylings
• Positioning Elements
• Visibility and Z-index
• Flex & Grid Properties
• Media Queries
• Pseudo Selectors
• Transitions
• Animations

Module-4: JavaScript

JavaScript, often abbreviated JS, is a programming language that is one of the core technologies of the World Wide Web, alongside HTML and CSS. Over 97% of websites use JavaScript on the client side for web page behavior.

• Introduction with JavaScript
• Variables & Datatypes
• Type Conversions and Type Coercion
• Conditional Statements If else & Switches
• For , while, do while loops
• Functions
• Document Object Model
• Elements Selectors
• Traversing the DOM
• Event and Event Objects In JS
• Local and Session Storages
• CRUD operation
• Math Objects
• Prototype Inheritance
• Call back functions
• Arrow Functions
• Error Handlings
• Regular Expression
• Form Validations
• Generators and Sets
• For of and for in loops & Maps

Module-5: Web Development with Django

Django is a Python-based free and open-source web framework that follows the model-template-views architectural pattern. Django makes it easier to build better Web apps more quickly and with less code.

Introduction to Django

• What Is a Web Framework?
• The MVC & MVT Design Pattern
• Django’s History

Installation of Django

• Installing Django
• Starting a Project
• The Development Server
• Creating Django Project
• Django Project Structure
• Creating Django Applications
• Understanding Django Architecture
• URL Configuration - Django’s Navigator
• Django Views
• Django Templates
• Django Commands Overview
• Setting Up a Database

The Basics of Dynamic Web Pages

• Your First View: Dynamic Content
• Mapping URLs to Views
• How Django Processes a Request
• URL configurations and Loose Coupling
• Your Second View: Dynamic URLs
• A Word About Pretty URLs

Django Views

• Request Objects
• HttpRequest Attributes
• HttpRequest Methods
• Response Objects
• Generating Non-HTML Response
• Generating HTML Response
• Types of Views
• Functional based Views
• Class based Views

Django Templates

• Template System Basics
• Using the Template System
• Creating Template Objects
• Rendering a Template
• Multiple Contexts, Same Template
• Context Variable Lookup
• Playing with Context Objects
• Basic Template Tags and Filters Tags
• Using Templates in Views
• Template Loading
• Include Template Tag.
• Template Inheritance

Form Processing: Django Forms

• Adding Form
• Types of Django Forms
• ModelForm
• Adding Base Template To Form
• Implementing The Edit Functionality
• Implementing Delete Functionality

Interacting with a Database: Django Models

• The MVT Development Pattern
• Configuring the Database
• Your First App
• Defining Models in Python
• Introduction to ORM (Object Relational Mapping)
• Understanding need of ORM
• Your First Model
• Installing the Model
• ORM Operations
  • Basic Data Access
  • Inserting and Updating Data
  • Selecting Objects
  • Filtering Data
  • Retrieving Single Objects
  • Ordering Data
  • Deleting Objects
  • Making Changes to a Database Schema
  • Adding Fields
  • Removing Fields

The Django Administration Site

• Activating the Admin Interface
• Using the Admin Interface
• Users, Groups and Permissions
• Customizing the Admin Interface
• Customizing the Admin Interface’s Look and Feel
• Customizing the Admin Index Page
• When and Why to Use the Admin Interface

Module-6: Django REST Framework (Restful Web Services)

Django REST framework is another powerful and flexible toolkit for building Web APIs. A REST API is a standardized way to provide data to other applications. Those applications can then use the data however they want. Sometimes, APIs also offer a way for other applications to make changes to the data.

• Rest API Introduction
• Understanding Rest API
• Creating REST API in Django
• POSTMAN - REST API testing
• Understanding Mixins
• REST API - Impl CRUD Operations Using Django
• SerializationIntroduction
• DRF(Django REST Framework) Introduction
• Set up Django REST Framework
• Creating REST API in DRF
• Serializers
• Validations by using Serializers
• ModelSerializers
• DRF Views
  • APIViews - Implementing CRUD Operations
  • ModelViewSet -Implementing CRUD Operations
• REST API Security
• Authentication
• Authorization
• Secure REST Service
  • Token based Authentication
  • JWT Authentication

 Module-7: MongoDB as No-SQL Data base

MongoDB is a powerful and popular NoSQL database that works on backend of any application to save the data. It is an open-source database and it works with almost any web programming platform. MongoDB offers multiple benefits for organizations such as being extremely flexible, scalable, faster, and it can run on a small RAM, which means we don’t need to buy high-end server technology for using MongoDB.

• Introduction to NoSQL Database
• Understanding need of NoSQL
• RDBMS vs NoSQL
• MongoDB Introduction
• Why MongoDB is Important
• Key feature of MongoDB
• Installing, Configuring MongoDB
• Creating Database
• Creating Collection
• MongoDB Operations
  • Inserting Document
  • Inserting Multiple Documents
  • Updating Documents
  • Reading a Document(Querying)
  • Deleting Database
  • Deleting Collection
  • Deleting Document
• MongoDB, Django Integration
• Django, MongoDB, ORM CRUD Operations Implementation

Module-8: Kafka as Distributed Messaging System

Apache Kafka is a Distributed Publish-Subscribe Messaging & Streaming Platform to handle Real-Time Data.

• Introduction to Messaging System
• Types of Messaging Models (Queue, Topic)
• Why need Messaging System
• What is Kafka
• Kafka Architecture
• Kafka components in detail
  • Producer
  • Consumer
  • Broker
  • Cluster
  • Topic
  • Partitions
  • Offset
  • Consumer Groups
• Message Retention in Kafka
• Kafka Commit log
• Kafka Installation
• Kafka Starting Zookeeper
• Starting Kafka Server
• Starting Producer
• Starting Consumer
• Topic Operations: create, list, delete, describe
• Publishing data to topic using console producer
• Consuming data from topic using console consumer
• Publishing, Consuming messages from topic using Python
• Django, Kafka, MongoDB Integration

Module-9: ReactJS & Redux

React is a free and open-source front-end JavaScript library for building user interfaces based on UI components. Redux is a Predictable State Container for JavaScript Applications. Redux also an open-source JavaScript library for managing and centralizing application state. It is most commonly used with libraries such as React or Angular for building user interfaces.

• ReactJS Introduction
• Reacts Tools
  • NPM - Manage app's dependencies & run tasks
  • Babel - Compile ES6 to ES5
  • Webpack - Bundle applications
  • Babel & Webpack - Build process
  • Creating build process - DEV & PROD
• Advanced JavaScript & ES6
  • Functional programming in JavaScript
  • Understand execution context & this keyword
  • Control execution context with bind/call/apply
  • Template strings
  • Default arguments
  • Rest and spread
  • Arrow functions
  • Destructing
  • Modules
  • Classes
  • Promises
  • Fetch
  • Let & Const Keywords
  • For Of loop
  • Spread Operator
• First React Application
• Creating React Application
• Project Structure of React App
• Debugging React App
• component-based design
• Use one-way data flow and rendering
• Understanding the Virtual DOM
• virtual DOM versus the actual DOM
• Use createClass and render
• JSX Overview
• Components
  • Component Introduction
  • Class Components
  • Functional Components
  • Parent , Child Components
• States & Props
  • What is a state
  • setState Method
  • Props in Class Components
  • Props in Functional Components
• Event Handling
  • Event Handling in Class Components
  • Event Handling in Functional Components
• CSS in React
  • Inline CSS
  • Local CSS
  • Manipulating CSS using Events
• Class Component Life Cycle Methods
• React Hook
  • What is a React Hook
  • useState Hook
  • useEffect Hook
  • Manipulating CSS using Hooks
• React Forms
  • Forms Introduction
  • Form Submission
• React Router
• Maps in React
• Conditional Rendering
• Local Storage
  • Local Storage Intro
  • Local Storage with Arrays and Objects
• Context-API
  • What is Context API
  • Implementing Context API
  • Manipulating Components using Context API
• HTTP Methods
  • Fetch Method
  • Axios Method
  • Return HTML Content using HTTP Methods
• Managing Application State using Redux
  • Understanding Redux
  • How Redux differs from Flux
  • Define action creators
  • Understand pure functions
  • Understand simple reducers
  • Implement a simple store
  • Bind reducers to app store and components
  • Refactor to container and presentational components
  • Design larger state trees
  • Understand combine reducers
  • Use higher order containers with react-redux

Module-10: Integrating ReactJS & Django

 Module-11: Project – Developing Ria Web Site using Python, ReactJS, Redux, Django, Django Restful Framework, MongoDB and Kafka

 Course Outcomes: By the end of this program, you will,

• Learn Python programming in depth.
• Learn how to work with Python collections like Lists, Tuples, Set, Dictionaries etc.
• Master in Python Object-Oriented Programming
• Proficient in Python Functional Programing
• Learn how to handle exception and error
• Understanding web development with Django, ReactJS
• Develop Single Page application using React & Redux
• Master in Django models, ORM, Views, Templates & Configuring Django Application
• Learn MVC vs MVT
• Master in Django REST API
• Learn Securing Django REST API Using Token Based Authentication, JWT
• Gain Good Knowledge in MongoDB (No-SQL)
• Master in Kafka (Distributed Messaging System)
• Developing a Project Using – React&Redux, Django, Django REST API, MongoDB & Kafka