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Python Complete Syllabus

Learn Python programming from basics to automation, APIs, data handling, and backend project readiness.

CategoryBackend LevelBeginner to Intermediate Duration6 to 8 weeks Career PathPython Developer, Automation Developer, Backend Trainee

Learning Outcome

After Completion

  • Write Python programs
  • Work with files and APIs
  • Automate reports
  • Prepare backend/API foundation

Prerequisites

  • Basic computer skills
  • Logical thinking
  • No prior coding required

Tools

Python 3 pip venv Requests Pandas basics

Full Study Plan

A practical learning sequence from setup to project demo, designed for discussion, practice, revision, and job-ready confidence.

Phase 01: Setup and Foundation

  • Understand where Python is used in real projects.
  • Install required tools and prepare a clean practice workspace.
  • Start with Python Basics and create short notes for every concept.

Phase 02: Core Concepts

  • Complete the main Python building blocks in sequence.
  • Practice examples for every topic before moving to the next module.
  • Maintain a daily doubt list and review it during discussion sessions.

Phase 03: Practical Implementation

  • Convert concepts into mini tasks based on Files and Modules.
  • Use realistic business examples such as website, CRM, enquiry, billing, or reporting flows.
  • Review code/configuration quality, naming, security, and maintainability.

Phase 04: Project and Interview Readiness

  • Build a portfolio-ready project within the 6 to 8 weeks learning plan.
  • Revise Project and Interview with practical explanation and interview questions.
  • Prepare project screenshots, README, demo flow, and next-step career roadmap.

Start To End Syllabus

This roadmap moves from foundation to project-ready skills in a practical learning order.

01

Python Basics

  • Syntax
  • Variables
  • Data types
  • Operators
  • Input output
02

Control Flow and Functions

  • Conditions
  • Loops
  • Functions
  • Scope
  • Exceptions
03

Data Structures

  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • Comprehensions
04

Files and Modules

  • File handling
  • CSV
  • JSON
  • Modules
  • Packages
05

OOP and APIs

  • Classes
  • Objects
  • Requests
  • API consumption
  • Virtual environments
06

Automation and Database

  • Report automation
  • Email basics
  • SQLite/MySQL basics
  • Scheduling concepts
07

Project and Interview

  • Data report tool
  • API utility
  • Problem solving
  • Python interview questions

Detailed Module Syllabus

Each module includes topics, guided practice, independent work, and a clear deliverable so learning does not remain only theoretical.

Step 01

Python Basics

Learn Syntax, Variables, Data types with guided examples, notes, and practical review.

Topic Index
  • Syntax
  • Variables
  • Data types
  • Operators
  • Input output
Practice Work
  • Create examples for Syntax, Variables, Data types.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A working Python practice file or feature for Python Basics.

Step 02

Control Flow and Functions

Learn Conditions, Loops, Functions with guided examples, notes, and practical review.

Topic Index
  • Conditions
  • Loops
  • Functions
  • Scope
  • Exceptions
Practice Work
  • Create examples for Conditions, Loops, Functions.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A working Python practice file or feature for Control Flow and Functions.

Step 03

Data Structures

Learn Lists, Tuples, Dictionaries with guided examples, notes, and practical review.

Topic Index
  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • Comprehensions
Practice Work
  • Create examples for Lists, Tuples, Dictionaries.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A working Python practice file or feature for Data Structures.

Step 04

Files and Modules

Learn File handling, CSV, JSON with guided examples, notes, and practical review.

Topic Index
  • File handling
  • CSV
  • JSON
  • Modules
  • Packages
Practice Work
  • Create examples for File handling, CSV, JSON.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A working Python practice file or feature for Files and Modules.

Step 05

OOP and APIs

Learn Classes, Objects, Requests with guided examples, notes, and practical review.

Topic Index
  • Classes
  • Objects
  • Requests
  • API consumption
  • Virtual environments
Practice Work
  • Create examples for Classes, Objects, Requests.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A working Python practice file or feature for OOP and APIs.

Step 06

Automation and Database

Learn Report automation, Email basics, SQLite/MySQL basics with guided examples, notes, and practical review.

Topic Index
  • Report automation
  • Email basics
  • SQLite/MySQL basics
  • Scheduling concepts
Practice Work
  • Create examples for Report automation, Email basics, SQLite/MySQL basics.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A working Python practice file or feature for Automation and Database.

Step 07

Project and Interview

Learn Data report tool, API utility, Problem solving with guided examples, notes, and practical review.

Topic Index
  • Data report tool
  • API utility
  • Problem solving
  • Python interview questions
Practice Work
  • Create examples for Data report tool, API utility, Problem solving.
  • Complete one guided exercise and one independent mini task.
  • Write common mistakes, fixes, and interview explanation notes.

Deliverable: A working Python practice file or feature for Project and Interview.

Labs, Assignments, Capstone, And Review

This section fills the complete practical syllabus with classroom-style activities, project work, assessment, and portfolio outputs.

Hands-On Labs

  • Set up a clean Python development environment with project structure.
  • Build CRUD flow with validation, error handling, and reusable service/controller logic.
  • Connect database or file storage and test real business data scenarios.
  • Add authentication, authorization, logging, and secure input handling where applicable.
  • Python project lab: CSV report automation.
  • Python project lab: API data collector.
  • Python project lab: Small backend utility.

Assignments

  • Assignment 01: Complete practical work for Python Basics, submit notes, screenshots/output, and doubt list.
  • Assignment 02: Complete practical work for Control Flow and Functions, submit notes, screenshots/output, and doubt list.
  • Assignment 03: Complete practical work for Data Structures, submit notes, screenshots/output, and doubt list.
  • Assignment 04: Complete practical work for Files and Modules, submit notes, screenshots/output, and doubt list.
  • Assignment 05: Complete practical work for OOP and APIs, submit notes, screenshots/output, and doubt list.
  • Assignment 06: Complete practical work for Automation and Database, submit notes, screenshots/output, and doubt list.
  • Assignment 07: Complete practical work for Project and Interview, submit notes, screenshots/output, and doubt list.

Capstone Project

Secure business application backend using Python

Build one complete, review-ready project that proves practical Python understanding from foundation to delivery.

  • Authentication-ready structure
  • CRUD modules
  • Validation and error handling
  • Database integration
  • API documentation and testing

Assessment

  • Core syntax quiz
  • API/backend practical task
  • Security review
  • Database integration review
  • Project demo and viva

Portfolio Output

  • Working backend/API project
  • Postman collection or request examples
  • Database schema notes
  • Deployment/readme documentation
  • CSV report automation
  • API data collector
  • Small backend utility

Discussion Points

  • How to structure backend projects
  • How to handle production errors
  • How to secure forms and APIs
  • Backend interview and project explanation
  • Lists vs tuples
  • OOP
  • Exceptions
  • File handling

Projects, Practice, And Interview Focus

Practice Projects

  • CSV report automation
  • API data collector
  • Small backend utility

Interview Preparation

  • Lists vs tuples
  • OOP
  • Exceptions
  • File handling

Discuss This Syllabus

Share your current level and goal. We will help you select the right sequence, project practice, and interview preparation path.

Book Discussion