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Best Python Course in Bangalore

Learn Python Training from Expert Trainers at RIA Institute of Technology

RIA Institute of Technology offers Best Python Training in Bangalore, Marathahalli with Expert Trainers who are Experienced Working Professionals and have more than 5 Years of Expertise in the Domain, so that the students can benefit from real-time scenarios. Instructors offering Python Training have practical knowledge as they implement their knowledge and expertise in their day-to-day work.

Python course in Bangalore at RIA Institute of Technology touches upon everything from the basics to the advanced levels. You will be taught the fundamental Python programming techniques and tools, the five major fundamentals required to master Python – Datatypes, Flow Control, Functions, File Handling / Object / Class, and how to harness the power of Python and the types of problems it can solve.

Other topics covered include Introduction to Python, its Architecture, Features, Components & Modes, Python Syntax / Statements, Python Built-In Functions, Python Containers, Type Variables & Operators, Control Statements & Loops, Data Types, Objects, Collections, Expressions, Strings, Lists & Dictionary, File Input & Output, Conditions & Loops, Modules & Packages, Strings, Dates, Files & Databases, Pattern Matching, Exception Handling Functions and Lambdas in Python, Python protocols, and the role of Generators, Iterators, Co-routines, and more.

You will also get to do real-time practicals that will give you insightful exposure to how Python works and how it can be applied in varied real-time situations.

Python course in Bangalore at RIA Institute of Technology is conducted by certified instructors, with a course syllabus conceived in line with industry standards. You will also get access to Python Training course content with exercises and examples, curated by the experts, in line with the prevalent industry trends. All of these will give you practical hands-on experience that will come in handy in real-world situations.

Python Course is suitable for

Python course in Bangalore at RIA Institute of Technology is ideal for
  • Software Architects / Developers / Engineers
  • Technical Leads
  • Any Programming enthusiasts who wish to make a career out of Python
  • Anyone who wants to migrate to Python from another language
Pre-requisite for doing Python course is willingness to learn, familiarity with any programming language, and basics of computing knowledge.
 

Benefits of Learning Python from Us?

Merits of completing Python course at RIA Institute of Technology
  • Cutting-edge industry-relevant Course Syllabus with hands-on practicals.
  • Comprehensive time-tested teaching methodology and course materials for the effective learning experience.
  • Integrated approach to skills development and genre-based assessments.
  • Student-centric assessment with preparation for Interviews.
  • Impactful & transformative Course Completion Certificate testifying your employable skills.
  • Personalised feedback, and a road map to get your Dream Job
Python Training Course in Bangalore, Marathahalli
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    RIA Institute of Technology

    ISO Certified Training Institute

    Python Course Fee & Duration

    Python Course

    11800/-
    • Course Duration : 2 Months
    • Training Hours : 50 Hours
    • Type : Online & Classroom

    Full Stack Python Course

    29500/-
    • Course Duration : 4 Months
    • Training Hours : 100 Hours
    • Type : Online & Classroom

    About Python

    A powerful open-source object-oriented programming language, Python, developed by Guide Van Rossum in 1989, is also an interpreter compiled byte-code programming language as well as an open-source scripting language.
     
    The rich grammar and dynamic writing capabilities of Python along with its translated nature make it a perfect programming language to learn and implement. Today, it’s an extensively popular language in multiple domains from Automation to Artificial Language, BIG DATA, etc, used by a vast multitude of companies around the globe.
     
    Further, being an open-source programming language, Python is used everywhere, in sectors ranging from Finance to Banking, Science & Engineering, Signal Processing, and more. Python is also the official language of GOOGLE, powers INSTAGRAM and runs on chips that INTEL tests.
     

    Why Choose Python

    • Huge standard library comprising many in-built functions and pre-written codes. This eliminates the need to write code or function.
    • Interpreter and Broad Standard Library are accessible in source or twofold shape for every single significant stage from Python Webpage
    • Simple syntax and dynamic typing features.
    • Automatic memory management, Dynamic type system, and inclusive Libraries.
    • Appropriations of and pointers to numerous free outsider Python modules, projects, instruments, and extra documentation.
    • In-built high-level data structures, combined with dynamic typing and binding, & Plenty of libraries that support data analysis, manipulation, and visualisation.

    Advantages of Python

    • Is simple and concise that makes it easy to learn
    • Is open-source which means source codes are publicly available. One can use the code directly or modify it.
    • Is easy to develop. Python codes are simple and readable when compared to other programming languages like JAVA, C, or C++.
    • Is ideal for scripting and rapid application development on many platforms.
    • Supports multiple programming models like imperative and functional programming, object-oriented or procedural styles.
    • Offers a clean Visual Layout with fewer syntactic exceptions.
    • Offers a perfect dialect for scripting and fast-application improvement in numerous territories on general stages.
    • Offers advanced data structures and effective object-oriented programming concepts that allow developers to write concepts in fewer links than what is allowed in other programming languages.
    • Is cross-platform language which means it can run smoothly on various operating systems like WINDOWS, Ubuntu, & LINUX. 
    • Is a portable language allowing t to be interpreted; Code written on Windows platform can also be run on Mac.
    Currently, a top-drawer general-purpose programming language that’s capable of creating anything from desktop software to robust web applications and frameworks, Python comes with powerful libraries for data mining and analysis.
     
    Its main USP is that it is a scripting language that can automate all kinds of tasks, from small to big, and just about anything. 
     
    Today, Python has a large community that continuously contributes to its growth and development. It has become the preferred language for Artificial Intelligence and Machine Learning. Its popularity, thanks to its powerful features and drivability, and simplicity are such that both start-ups and corporate make extensive use of Python.
     
    Currently, due to the high demand-supply ratio, it offers excellent career opportunities and growth around the world, including in INDIA.
     
    Easy and simple to learn, Python reduces programming development time by half with simple-to-read syntax and ease of use which makes it great for both beginners as well as professionals.
     
    For the best Python course in Bangalore, you need not look further than RIA Institute of Technology!!!!

    Python Certification Course

    Python Certification course in Bangalore at RIA Institute of Technology is designed to provide students, with a holistic understanding of the components, concepts, and features of Python.
     
    Python Training in Bangalore at RIA Institute of Technology will help you get familiar with everything about the Python programming language, and how to leverage and apply object-oriented programming, functional programming, and scripting techniques. It will provide a sound foundation for your career trajectory, helping you make inroads into domain areas ranging from Web Development to Data Analytics, Game Scripting, Systems Administration, etc.
     
    RIA Institute of Technology’s Python course in Bangalore is the perfect launch pad for students and working professionals.
     
    GET started TODAY, by getting in touch with the best Python Training in Bangalore, RIA Institute of Technology, to get ready for new-age job roles while putting yourself on the right career track!!!
     

    How you will be Equipped?

    By the end of Python Training in Bangalore at RIA Institute of Technology, you will have, mastered basic and advanced programming in Python with a clear understanding of Python scripts on UNIX / WINDOWS environments, and also become familiar with Python Editors / popular IDEs.
     
    You will get hands-on with Python programming and be well-positioned to:
    • Use & create functions in Python
    • Use and apply File Handling
    • Write and test simple scripts
    • Create and manipulate Strings
    • Build Expressions as well as Conditional & Iterative Statements
    • Create and manipulate Collections including Lists, Tuples, & Dictionaries
    • Create Modules & Packages
    • Use & Apply Third-Party Libraries
    • Work with & Apply Date & Time Objects
    • Handle Exceptions
    • Read from & Write to Files & Databases
    • Analyse DATA Sets in Python, and more
    You will also acquire the requisite Python skills to move onto areas like Machine Learning, DATA Science, etc, conversant with the practical technique of problem-solving.
     

    After completing Python Course at RIA Institute of Technology

     
    You will Build Skills:
    You will build the skills that will develop your Python competence to get job-ready.
    Get Real-time Projects Exposure:
    You get to work on real-world projects and apply your learned skills. This will give you hands-on experience and an understanding of how it works and how it can be applied in different real-time situations. You will build a work portfolio that will showcase your job readiness.  
    Get a Course Completion Certificate:
    You’ll earn a professional Certificate that is valued and recognised, testifying to your credentials in Python. This will unlock access to career-support resources to help kick-start your career.

    Job Opportunities after Completing Python Course

    Career Outlook in Python

    According to a market survey report of IEEE, Python is currently the most popular language going around in the world and the most used by Data Scientists worldwide. In a very small period, it has come to be adopted by many companies around the world. 
     
    Commonly interpreted as a high-level programming language, Python’s merits include: 
    • Compatibility with different operating systems from Windows to Ubuntu, Linux, and Unix.
    • Supporting multiple languages on different platforms.
    • Ability to ensure faster-code readability and brevity resulting in better designs with fewer code lines.
    • Creating everything from Games / Puzzles to Websites / Text Editors / Chat Bots, Chatting Apps, and more, & automating manual processes.
    • Creating dynamic scripts on both small and large scales.
    • Multiple supports from the Libraries.

    Why Choose Python

    • Has steadily featured among the top programming languages to learn, and use.
    • Is being increasingly used in Machine Learning, AI, & Big Data.
    • Is extensively adopted by Google engineers as the secondary coding language, committing to use it more in newer product offerings. 
    • Is widely adopted by Pixar for producing films, Netflix for recommending content, and Google for crawling the web. 
    • Is extensively used in domains like App Development, Web Development, Script Writing etc.
    • Is extensively used as a scripting language by Walt Disney Feature Animation (WDFA) for Animation. What, magic you see in Disneyland has a bit of Python in them.
    In addition to the above, Application, Workflow Automation System developed in Python is used extensively by US’s NASA (National Aeronautics & Space Administration)
     
    Currently, Python is being used by some of the biggest names around the world like Google, Facebook, Spotify, Netflix, Quora, YouTube, SlideShare, Pinterest, Reddit, IBM, Mozilla, Amazon, Uber, Centus, MicroPyramid etc as well as best known popular start-ups like HackerEarth, Instamojo, RecruiterBox, ThinkLabs etc. 
     
    Further, a large number of known names around the world are migrating and transitioning to Python, like Gartner, New York University, Nasdaq, Citi, Toyota, General Electric, Juniper Networks, DropBox, WebMD, BuzzFeed, and more.
     
    Thanks to its versatility, Python continues to grow, thrive, and reign as the programming language of choice for companies for everything from Web Development & Web Testing to Big Data, Data Analysis / Data Science, AI, Machine Learning, Visualisation, Game Development, Scientific Computing, System Administration, and not to forget smart devices. 
     

    Future Scope of Python

    The future looks exceedingly bright for Python professionals for Python’s usage today is everywhere from Web Development, to Desktop Applications, Data Science, Network Programming, and more. Its usage is also intense in Data Science & Analysis and is increasingly preferred in Machine Learning and Artificial Intelligence.
     
    Over 90% of the world’s Data being created during the past few years, with ample assistance from Python, and further estimated to grow 40% year-on-year, has enabled businesses to build and consolidate internal analytics expertise for exploiting all of the data available to its maximum.
     

    Career Insights in Python

    • Survey report by StackOverflow reveals that Python is currently the fastest growing language in high-income countries like the US, UK, Australia, Canada, Germany, etc. 
    • Job Portals like Indeed and Naukri offer around 20,000 to 50,000 job listings for Python, which indicates demand for skilled certified Python professionals in INDIA is high.
    • STL model used by IBM to predict the future growth of major languages in 2022, Shows that Python has raced ahead of all other programming languages and looks all set to leave every language behind.
    No wonder there remains incredible demand for skilled certified Python professionals
    But as per expert research reports, there lies a huge gap between the demand and supply of Python professionals, especially Python Developers / Experts, across nations like the US, India, and so on. 
     
    Avail of this opportunity by undertaking a Python course in Bangalore at RIA Institute of Technology, for the best Python Training in Bangalore. This will help you acquire Python expertise and knowledge with the valued Python Certification. This in turn will add value to your profile and give a big push to your career goal.
     
    Job roles that will await you ranging from Software Developer to Python Developer, Python Web Developer, Business Analyst, Research Analyst, Machine Learning Engineer, and so on.
     
    Expert knowledge of Python will also help you gravitate to other jobs like DevOps Engineer, Data Scientist, Data Analyst, Software Engineer, and more.
     
    So, what are you waiting for?
     
    Hurry up, and make up for the lost time by joining the best Python Training in Bangalore at RIA Institute of Technology and learning all of the techniques and methodologies of Python to make you job-ready.
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    Python Course Syllabus

    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

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