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
- 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
Benefits of Learning Python from Us?
- 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 Course Fee & Duration
Python Course
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Course Duration : 2 Months
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Training Hours : 50 Hours
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Type : Online & Classroom
Full Stack Python Course
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Course Duration : 4 Months
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Training Hours : 100 Hours
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Type : Online & Classroom
About Python
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.Â
- Is a portable language allowing t to be interpreted; Code written on Windows platform can also be run on Mac.
Python Certification Course
How you will be Equipped?
- 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
After completing Python Course at RIA Institute of Technology
Job Opportunities after Completing Python Course
Career Outlook in Python
- 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.Â
- Is widely adopted by Pixar for producing films, Netflix for recommending content, and Google for crawling the web.Â
- 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.
Future Scope of Python
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.Â
- 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.
Python Course Syllabus
- Python Course Content
- Full Stack Python Developer Course Content
COURSE CONTENT/SYLLABUS FOR PYTHON COURSE : Duration- 50 Hours
Introduction to Python & Python Fundamentals:
- Â Python Interpreter and its Environment
- Â Python programming building blocks like Variables
- Â Data Types and their functions
Python Basics
- Â Arrays, Lists and Tuples
- Â Dictionaries and Sets
- Â Array and List related functions
-  Arithmetic  Operators
- Â Assignment Operators
- Â Comparison Operators
- Â Logical Operators
- Â Conditional/ ternary Operators
Python Control Structures
- Â If Statements
- While construct
- Â For Statements
- Looping Techniques over data structures
- The range() function
- Â Break and Continue Statements
- Â Statements and else clauses in loops
- Â Pass Statements
- Â List Comprehensions
FunctionsÂ
- Â Local variables
- Â Default Argument Values
- Â Returning Values
- Â Keyword & Positional Arguments
- Â Arbitrary Argument Lists
- Â Unpacking Argument Lists
- Â Lambda Forms
- Â Documentation Strings
Modules
- Â Executing modules as scripts
- Â The Module Search Path
- Â Building ModulesÂ
- Â 'Compiled' Python files
- Â various Standard Modules/libraries
- Â The dir() function
- Â Debugging Python Code
- Â Logging in Python
- Unit testing in Python
- Â Static code analysis
I/O & Exception handling
- Â Standard Input and Output I/O
- Â File I/O
- Python File & Directory functions
- Â Introduction to subprocess module
- Â Handling Exceptions
- Â Raising Exceptions
- Â Userdefined Exceptions
- Â Cleanup Actions
- Â Try/finally clauses
Regular Expressions
- Â What are regular expressions
- Â Matching characters
- Compiling regular expressions
- Â Strings and Slices
- Â Modifying Strings
- Â Use of triple quotes
- Â Repetition
- Â Emails example
- Â Group extraction and Substitution
OOPs in Python
- Â 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
- Â Packages
- Intrapackage References
Standard libraries
- osÂ
- sysÂ
- datetime
- random
- math
- pickle
- subprocess
Database Programming
- Connecting to a database server
- Connecting to different databases like MySQL, SQLite
- Â CURD operations
- Â Transactions managementÂ
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 DjangoÂ
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                                                             Â
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.Â
- 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
Hear From Our Happy Students
Nevedith
[Python]
Our Trainer was very helpful to make us understand the concept of Python Course. they have provided us some real time task to practice
Karan
[Python]
Nice Place to learn python. If you are staying in marathahalli i wold suggest you guyz to join this institute
Sudhakar
[Python]
Hi everyone, i have finished python training in Bangalore from Ria Institute of technology they have well-experienced trainers who are working in MNCs
Vasanth
[Python]
its a best place to learn python course , i have been to so many training institutes for demo classes ,luckily i found this institute and attended demo class it was an outstanding they make me understand the concept in a very easy manner
Sundar
[Python]
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