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Full Python Syllabus (Beginner to Advanced)

Full Python Syllabus (Beginner to Advanced)

May 24, 2026 in Python

1. Introduction to Python

What is Python?
Features of Python
Installing Python
Python IDEs and Editors
- IDLE
- VS Code
- PyCharm
- Jupyter Notebook
Running Python programs
Python syntax basics
Comments and documentation

2. Python Basics

Variables
Data types
- Integer
- Float
- String
- Boolean
- Complex
Type conversion
Input and output
Operators
- Arithmetic
- Comparison
- Logical
- Assignment
- Bitwise
- Membership
- Identity

3. Control Flow Statements

if, elif, else
Nested conditions
Loops
- for
- while
Loop control statements
- break
- continue
- pass
Range function

4. Strings in Python

String creation
String indexing and slicing
String methods
Escape characters
String formatting
- f-strings
- .format()
Regular expressions (re module)

5. Data Structures

Lists

Creating lists
List methods
List slicing
Nested lists

Tuples

Tuple operations
Packing and unpacking

Sets

Set operations
Union, intersection, difference

Dictionaries

Creating dictionaries
Dictionary methods
Nested dictionaries

6. Functions

Defining functions
Function arguments
- Positional
- Keyword
- Default
- Variable-length (*args, **kwargs)
Return statement
Lambda functions
Recursive functions
Scope and lifetime of variables

7. Modules and Packages

Importing modules
Creating modules
Python standard library
Packages
pip and package installation
Virtual environments

8. File Handling

Opening and closing files
Reading files
Writing files
File modes
Working with CSV files
Working with JSON files

9. Exception Handling

Types of errors
try, except
finally
else
Raising exceptions
Custom exceptions

10. Object-Oriented Programming (OOP)

Classes and objects
Constructors
Instance and class variables
Methods
Inheritance
Polymorphism
Encapsulation
Abstraction
Magic methods (__init__, __str__, etc.)

11. Advanced Python Concepts

Iterators
Generators
Decorators
Context managers
Closures
Comprehensions
- List comprehension
- Dictionary comprehension
Functional programming tools
- map
- filter
- reduce

12. Python Libraries

Standard Libraries

math
random
datetime
os
sys
collections

Popular External Libraries

NumPy
Pandas
Matplotlib
Requests
BeautifulSoup
Flask
Django

13. Database Programming

SQLite with Python
MySQL connectivity
CRUD operations
ORM basics

14. Web Development with Python

Flask

Routing
Templates
Forms
APIs

Django

Models
Views
Templates
Admin panel
Authentication

15. Data Science with Python

NumPy basics
Pandas DataFrames
Data visualization
Data cleaning
Exploratory Data Analysis (EDA)

16. Machine Learning with Python

Scikit-learn basics
Regression
Classification
Clustering
Model evaluation

17. Automation and Scripting

Automating tasks
Web scraping
Email automation
File automation
Scheduling scripts

18. APIs and Networking

REST APIs
Using requests
JSON handling
API authentication
Socket programming basics

19. Testing in Python

Unit testing
unittest
pytest
Mocking
Debugging techniques

20. Multithreading and Multiprocessing

Threads
Processes
Synchronization
Async programming (asyncio)

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21. Cybersecurity & Ethical Hacking with Python

Network scanning
Packet sniffing
Cryptography basics
Automation tools

22. GUI Development

Tkinter
PyQt basics
Event handling

23. Python for Cloud & DevOps

Working with AWS SDK (boto3)
Docker with Python
CI/CD basics

24. Performance Optimization

Profiling
Memory optimization
Efficient coding practices

25. Final Projects

Calculator app
To-do application
Chat application
Web scraper
Data dashboard
Machine learning project
REST API project

Recommended Learning Path

Beginner

Basics
Control Flow
Strings
Data Structures
Functions
File Handling

Intermediate

OOP
Modules & Packages
Exception Handling
Advanced Concepts

Advanced

Web Development
Data Science
APIs
Automation
Machine Learning
Cloud & DevOps

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aditya singh