COURSE OVERVIEW

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Tech Trendo offers industry-relevant Python training in Nepal, tailored for individuals aiming to start or advance their programming careers. As one of the most versatile and in-demand programming languages globally, Python is used by tech giants like Google, Yahoo, and Amazon—inspiring a growing number of developers in Nepal to gain expertise in it.

Our comprehensive training program is designed to equip learners with the skills needed to build dynamic and interactive web applications using Python, from the ground up.

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Course Highlights:

• Suitable for beginners as well as those with prior programming experience
• Covers fundamentals to advanced Python programming concepts
• Focus on hands-on learning through real-world projects
• Training delivered by industry professionals and certified instructors
• Includes project work and one-on-one evaluation sessions
  

By the end of the course, students will be able to independently develop and deploy fully functional Python applications.

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Syllabus Outline:

Our Python training syllabus includes (but is not limited to) the following key modules:

• Introduction to Python
• Variables, Identifiers, Standard Data Types, and Operators
• Decision Making and Control Structures
• Working with Lists, Tuples, Dictionaries, and Sets
• Loops and Functions
  

• Modules and Packages
• Object-Oriented Programming in Python
• File Handling and Exception Management
• Advanced Python Concepts
• Capstone Project Development
• Project Presentation, Evaluation & Expert Feedback

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Whether you’re aiming to build web apps, automate workflows, or pursue data science, our Python training is the perfect foundation to launch your programming career.

Enroll today with Tech Trendo and take the first step toward becoming a Python developer!

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Python Programming Language

1. Introduction to Python

• 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

2. Python Basics

• 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

3. Control Structures

• 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

4. Data Structures

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

5. Functions

• 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

6. File Handling

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

7. Object-Oriented Programming (OOP)

• 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

8. Error Handling and Debugging

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

9. Advanced Python Concepts

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

10. Python Libraries and Frameworks

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

11. Introduction to SQL in Python

• 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

12. Git and GitHub Introduction

• 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

13. Final Project Options:

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

Course Outline for Django Framework

Module 1: Introduction to HTML, CSS, and JavaScript

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

Module 2: Introduction to Django

• 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

Module 3: Django Models and Database

• 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

Module 4: Django Views and URLs

• 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

Module 5: Django Templates

• 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

Module 6: Web Design with Bootstrap

• 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

Module 7: Django Forms

• 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

Module 8: Using jQuery and AJAX with Django

• 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

Module 9: Authentication and Authorization

• 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

Module 10: Django Rest Framework (DRF)

• 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

Module 11: Advanced Django Topics

• 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

Module 12: Deployment and Optimization

• 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

Module 13: Django Packages and Extensions

• 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

Module 14: Job Interview Preparation for Django

• 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

Module 15: Final Project

• 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

Authorized By: Tech Trendo Multipurpose Company Pvt. Ltd.