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AI INTEGRATED COURSE

Web Development With Python and Django

Python & Django Training

Course Overview
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Broadway Infosys offers special Python training courses in Nepal as it is considered as one of the popular programming languages that is attracting large pool of developers worldwide. The giants like Google, Yahoo and Amazon are using Python for their special projects and this has further inspired many developers to learn this programming language in Nepal

Python training course has been designed for aspiring developers with some level or no prior programming experience. The courses range from basic to advanced level. The course is all about familiarizing the trainees with simpler and smarter ways to develop interactive web applications using Python. At the end of the training, students need to undertake a project work to develop interactive application using Python.

Skills you’ll learn

Python Fundamentals : Write clean, efficient, and readable code.
Django Framework : Build scalable, secure, and maintainable web applications.
Database Integration : Connect and manage relational databases.
Deployment & Scaling : Launch your projects and handle real-world traffic.

Benefits of Python & Django Training

  • High demand for Python developers.
  • Environment to prove oneself in a competitive environment.
  • Quick results for projects that are popular in Nepal.
  • Massive internship and job opportunities for up-and-coming Python developers.

Benefits of Python & Django Training at Broadway Infosys

  • Highly qualified and experienced Python instructors.
  • Availability of sufficient training resources.
  • Several Python developers trained at Broadway are already working in top companies.
  • Proficiency in dealing with Big Data Analytics.
  • Regular interaction among a growing community of Python developers.
  • Familiarizing with code efficiency in developing a wide range of applications using Python.

Students who got hired learning this course

Hear from graduates who have completed our courses.

view more success stories
Successful student from Broadway Infosys Ms. Simran Sunuwar
Ms. Simran Sunuwar

Junior Backend Developer

Dakshyata Institute of Research and Studies

College/Faculty
Patan Multiple Campus / BSc.CSIT
Successful student from Broadway Infosys Mr. Manoj Moktan
Mr. Manoj Moktan

Junior Python Developer

Code Himalaya Pvt.Ltd

College/Faculty
Nami College / BSc. Hons(Network Engineering)
Successful student from Broadway Infosys Mr. Jatin Singh
Mr. Jatin Singh

Junior Python Developer

Code Himalaya Pvt.Ltd

College/Faculty
NBPI / B.Tech
Successful student from Broadway Infosys Mr. ⁨Lalit Joshi
Mr. ⁨Lalit Joshi

Jr. Python Developer

AayuLogic Pvt. Ltd

College/Faculty
Sagarmatha Engineering College / Electronic and Communication

Our graduates are hired by 350+ companies in Nepal

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Lesson 1: Python Programming Language

  • What exactly is Python?
  • Python's root and its ecosystem
  • Python Installation & IDEs setting up (Google Colab, Jupyter Notebook, VSCode, PyCharm)
  • Python framework & Python syntax
  • Hands-on writing code on Google Colab

  • Data Types & Variables (String, Integer, Float, Complex, Boolean, None)
  • Input and Output Functions
  • Working with the format() method, f-strings, & escape sequences
  • Basic Arithmetic & Operators
  • Type casting, type checking, & validation

  • Conditional Statements (if, else, elif)
  • Loops (for, while)
  • Looping over tuples, strings, & dictionaries
  • Special loops in Python (for/else)
  • Using nested loops and flow control through conditions
  • Resolving real-world problems to improve skills
  • Special Statements: pass, continue, break

AI Tool:

  • Google Colab - Gemini

Lists:

  • Overview & fundamental operations
  • Indexing, slicing, & negative indexing
  • Looping through lists & conditions
  • List methods like .insert(), .append(), .remove(), .sort(), etc.
  • List comprehension with conditions

Tuples:

  • Introduction & operations
  • Indexing, slicing, & looping
  • List versus Tuple
  • Switching between lists and tuples
  • Tuple unpacking

Sets:

  • Introduction & set operations
  • Adding, removing, & discarding items
  • Set operations: union, intersection, and difference
  • Frozenset versus set

Dictionaries:

  • Introduction to dictionaries & methods like .get(), .update(), .keys(), .pop(), etc.
  • Dictionary comprehension
  • Nested dictionaries

AI Tool:

  • Gemini or Codeium

  • Defining functions through def keyword
  • Parameters, Arguments, & Return Statements
  • Returning multiple values
  • Default & keyword arguments
  • Anonymous functions (lambda)
  • Nested functions & closures
  • Scopes in Python: Local and Global

Text File Operations:

  • Reading & writing text files
  • Modes of file (r, w, a, rb, wb)
  • File path handling with the os module

Working with CSV Files:

  • Basics of CSV format and operations
  • Reading & writing CSV files with csv.reader & csv.writer
  • Using dictionaries in CSV files

Working with JSON:

  • Introduction to JSON & its structure
  • Reading & writing JSON data with the json module
  • Parsing JSON strings

AI Tool:

  • Using ChatGPT for prompt engineering

  • Classes & Objects
  • Class versus Object attributes
  • Initializing object attributes with __init__()
  • self keyword
  • Inheritance: single, multiple, and multi-level
  • Polymorphism & operator overloading
  • Function overriding & encapsulation

AI Tools:

  • Pythontutor.com

  • Try-except blocks
  • Catching specific exceptions
  • Using else & finally
  • Generating and creating custom exceptions
  • Problem-solving strategies

  • Lambda Functions
  • Generators & Iterators
  • List Comprehensions
  • Working with *args & **kwargs

Standard Libraries: os, random, math, functools, etc.

Data Manipulation with Pandas

  • Working with DataFrames
  • Reading & writing CSV files
  • Data manipulation techniques

Data Visualization

  • Using Matplotlib, Seaborn, and Plotly

AI Tools

  • Pandas Profiling

  • Designing and changing databases and tables
  • CRUD operations (CREATE, SELECT, UPDATE, DELETE)
  • Filtering data with the WHERE clause

AI Tools:

  • DBeaver for SQL queries
  • Optimizing & explaining SQL queries with ChatGPT

  • Installing & configuring Git
  • Setting up local & remote repositories
  • Making commits & branching
  • Integrating local repositories to GitHub
  • Cloning repositories and pushing

AI Tools

  • GitHub Copilot for Git commands

  1. Web Scraping + Database + File Operations: Scrape data, store it in SQL, & export to CSV/JSON
  2. Desktop Application (Data Entry System): Develop an application to manage data in JSON/CSV format
  3. CLI Application with CRUD Operations: Design a CLI app with basic CRUD operations & database integration

HTML

  • Structure of an HTML document
  • Common tags: headings, paragraphs, links, images, tables
  • Forms: Input types and attributes

CSS

  • Basic styling: colors, fonts, spacing
  • Box model and positioning: padding, margin, border, etc.
  • Types of CSS: Inline, Internal, External
  • CSS Selectors: id, class, and tag

JavaScript

  • Variables, data types, and basic operations
  • Functions and events
  • DOM manipulation basics

VS Code Extensions

  • Live Server: Preview HTML/CSS changes in real-time
  • HTML CSS Support: Enhance coding experience for HTML and CSS
  • JavaScript (ES6) Snippets: Accelerate JavaScript development

  • What is Django and why use it?
  • Features and advantages of Django
  • Setting up Django and a virtual environment
  • Understanding the MVT (Model-View-Template) pattern
  • Creating a Django project and app
  • Overview of the project structure
  • Request and Response lifecycle in Django
  • Running the development server

AI Tools:

  • Django AI Assistant: AI assistant for Django projects

VS Code Extensions:

  • Python Extension for VS Code
  • Django Snippets for fast development

  • Introduction to Django ORM (Object-Relational Mapping)
  • Creating models and performing migrations
  • CRUD operations with Django ORM
  • Working with Querysets: Filters and chaining queries
  • Defining relationships: ForeignKey, ManyToManyField, OneToOneField

AI Tools:

  • Syntha AI's Django Code Generator

VS Code Extensions for Django ORM

  • SQLite Viewer: Inspect SQLite databases in VS Code
  • Black Formatter: Ensure consistent Python code formatting
  • isort: Automatically organize Python imports

  • Introduction to Django views
  • Function-based views (FBVs) and Class-based views (CBVs)
  • URL routing and path converters
  • Rendering responses in various formats (HTML, CSV, JSON)
  • Handling HTTP methods (GET, POST, PUT, DELETE)
  • Understanding HTTP status codes
  • Customizing CBVs with mixins
  • Error handling (e.g., 404, 500 errors)

AI Tools:

  • Django Helper / Codeium: Provides suggestions and documentation

VS Code Extensions:

  • REST Client: Test APIs directly in VS Code

  • Introduction to Django Templates
  • Template syntax: Variables, filters, tags
  • Template inheritance and extending templates
  • Working with static files (CSS, JavaScript, Images)
  • Advanced template techniques (e.g., conditionals, loops)
  • Modularizing templates for maintainability

AI Tools:

  • Workik's Django Code Generator

VS Code Extensions:

  • HTML CSS Support: Enhance HTML and CSS in Django templates
  • Djlint: Linter for Django templates

  • Introduction to Bootstrap
  • Installing Bootstrap in a Django project (via CDN or locally)
  • Responsive design with the Bootstrap grid system
  • Using Bootstrap components (Navbar, cards, buttons, forms, modals)
  • Styling Django forms with Bootstrap
  • Enhancing user experience with Bootstrap utilities

AI Tools:

  • Canva: Free tool for prototyping templates

VS Code Extensions:

  • Live Server: Real-time HTML preview

  • Creating and Handling forms with HTML form Elements
  • Built-in validation and error handling
  • Using model forms and their advantages
  • Customizing form widgets and layouts
  • Handling file uploads: Validation, storage, and serving

AI Tools:

  • HTML5 Form Validator: Tool for validating forms

VS Code Extensions:

  • Prettier - Code Formatter: Ensure readable code

  • What is AJAX and its Benefits?
  • Simplifying JavaScript with jQuery
  • Setting up jQuery in Django projects (via CDN or locally)
  • Handling AJAX requests in views
  • Using Django’s JsonResponse to return data
  • Dynamically updating page content with AJAX

AI Tools:

  • Chrome DevTools: Debug AJAX requests

VS Code Extensions:

  • JavaScript (ES6) Snippets: Simplify JavaScript code

  • User authentication: Login, logout, and registration
  • Managing user permissions and groups
  • User session management
  • Middleware's role in authentication

AI Tools:

  • Kite: AI-powered code completions for authentication

  • Introduction to DRF and Its Features
  • Installing and setting up DRF in a project
  • Understanding serializers and data transformation
  • Creating APIs for data operations
  • Authentication and permissions in DRF
  • Using Viewsets, Routers, pagination, filtering
  • Customizing DRF views and serializers

AI Tools:

  • Swagger UI: API documentation tool

VS Code Extensions:

  • OpenAPI (Swagger) Editor: Edit and test OpenAPI specs

  • Customizing Django Admin
  • Advanced middleware usage
  • Understanding and using context processors
  • Troubleshooting common issues
  • Using third-party packages for customization

AI Tools:

  • Dependabot: Track package updates

  • Introduction to cloud platforms: AWS, Google Cloud, Azure
  • Installing Gunicorn for production deployment
  • Hosting with cPanel and SSH keys
  • Continuous Integration and Deployment with Git

AI Tools:

  • Heroku Free Tier: Simplify app deployment

VS Code Extensions:

  • Remote - SSH: Connect to remote servers

  • Overview of Django packages and reusable apps
  • Popular Django packages for common tasks (authentication, APIs, task queues)
  • How to discover and evaluate packages
  • Managing package dependencies

AI Tools:

  • Tabnine: Autocomplete for Django-specific code

VS Code Extensions:

  • Dependi: Manage Python dependencies

  • Core Python and Django concepts
  • Commonly asked Django interview questions
  • Real-world problem-solving and scenario-based questions
  • Mock interviews for Django projects

AI Tools:

  • Pramp: Mock interview platform

VS Code Extensions:

  • CodeTour: Create guided learning and interview preparation tours

  • Collaborative project with the instructor, tailored to students' interests
  • Possible projects: News Portal, Job Portal, Online Store, REST API Development
  • Project implementation with real-time development

AI Tools:

  • Miro for wireframing and planning
  • Codility for automated project assessments
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Upcoming Classes (9)
03 Aug 2025
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17 Aug 2025
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24 Aug 2025
25 Aug 2025
31 Aug 2025