Beginner Level:
Introduction to Python Programming
- What is Python?
- Installing and Setting Up Python
- Writing and Running Python Programs
- Basic Syntax and Structure
Variables, Data Types, and Operators
- Variables and Assignments
- Numeric Data Types (int, float)
- String Data Type
- Boolean Data Type
- Arithmetic Operators (+, -, *, /, %)
- Comparison Operators (==, !=, >, <, >=, <=)
- Logical Operators (and, or, not)
Control Flow Statements (If/Else, While, For)
- Conditional Statements (If/Else)
- Looping Statements (While, For)
- Nested Control Structures
- Flow Control Keywords (break, continue, pass)
Lists, Tuples, and Dictionaries
- Lists and List Manipulation
- Tuples and Tuple Manipulation
- Dictionaries and Dictionary Manipulation
- List Comprehensions
Functions and Modules
- Defining and Calling Functions
- Function Parameters and Arguments
- Variable Scopes
- Built-in Functions
- Creating and Importing Modules
- Module Search Path
File Input/Output
- Reading and Writing Text Files
- File Modes and Permissions
- Handling Exceptions with Files
Exception Handling
- What are Exceptions?
- Handling Exceptions with try/except
- Raising Exceptions
- Exception Hierarchy
Introduction to Object-Oriented Programming
- What is OOP?
- Classes and Objects
- Attributes and Methods
- Encapsulation
- Abstraction
Working with Classes and Objects
- Creating and Using Objects
- Constructors and Destructors
- Class Variables and Instance Variables
- Properties and Getters/Setters
Inheritance and Polymorphism
- Inheritance and Subclasses
- Overriding Methods
- Polymorphism and Method Overloading
- Polymorphism and Method Overriding
Intermediate Level:
Advanced OOP Concepts (Abstract Classes, Interfaces, etc.)
- Abstract Classes and Interfaces
- Method Overriding vs Method Overloading
- Multiple Inheritance and Method Resolution Order
- Class Methods and Static Methods
Regular Expressions
- What are Regular Expressions?
- Basic Regular Expressions Syntax
- Regular Expressions Methods and Functions
- Advanced Regular Expressions
Debugging and Testing
- Debugging Techniques and Tools
- Testing Principles and Strategies
- Unit Testing with PyTest
- Test-Driven Development (TDD)
Working with Libraries and Frameworks
- Introduction to Python Libraries and Frameworks
- Installing and Using Python Libraries and Frameworks
- Popular Libraries and Frameworks (NumPy, Pandas, Flask, Django)
Database Connectivity (SQL, NoSQL)
- Introduction to Databases
- SQL Databases (MySQL, SQLite, PostgreSQL)
- NoSQL Databases (MongoDB, Cassandra)
- Connecting to Databases with Python
GUI Programming (Tkinter, PyQt)
- Introduction to GUI Programming
- GUI Programming with Tkinter
- GUI Programming with PyQt
- Event-Driven Programming
Web Scraping with Beautiful Soup
- What is Web Scraping?
- Scraping Data from HTML Pages
- Advanced Web Scraping Techniques
- Legal and Ethical Considerations
Introduction to Data Science and Analysis
- What is Data Science?
- Data Exploration and Visualization
- Data Wrangling and Cleaning
- Statistical Analysis and Inference
Data Visualization with Matplotlib
- Introduction to Data Visualization
- Basic Plotting with Matplotlib
- Advanced Plotting Techniques
- Customizing Plots
Introduction to Machine Learning
- What is Machine Learning?
- Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
- Machine Learning Algorithms and Techniques
- Applying Machine Learning in Python
Expert Level:
Advanced Python Techniques and Best Practices
- Functional Programming Concepts
- Decorators and Generators
- Context Managers and the with Statement
- Advanced Error Handling Techniques
- Concurrency and Parallelism
Advanced Web Development with Python
- Web Frameworks and MVC Architecture
- Authentication and Authorization
- Advanced Web Development Techniques (Caching, Compression, etc.)
- RESTful APIs and Web Services
- Websockets and Real-Time Applications
Data Science and Analysis with Python
- Advanced Data Wrangling and Cleaning Techniques
- Time Series Analysis and Forecasting
- Data Mining and Feature Engineering
- Machine Learning Pipeline and Optimization
- Big Data Processing with Apache Spark
Natural Language Processing with Python
- Introduction to NLP
- Preprocessing Text Data
- Text Classification and Sentiment Analysis
- Named Entity Recognition and Topic Modeling
- Word Embeddings and Deep Learning for NLP
Advanced Machine Learning Techniques
- Deep Learning with TensorFlow and Keras
- Reinforcement Learning and Robotics
- Neural Architecture Search and AutoML
- Transfer Learning and Multi-Task Learning
- GANs and Other Advanced Deep Learning Concepts
Advanced Computer Vision with Python
- Introduction to Computer Vision
- Image Processing and Feature Extraction
- Object Detection and Recognition
- Image Segmentation and Classification
- Convolutional Neural Networks for Computer Vision
Cloud Computing and Deployment
- Cloud Computing Concepts and Architecture
- Deploying Python Applications to the Cloud
- AWS, Azure, and Google Cloud Platform Services
- Docker and Kubernetes for Containerization
- DevOps and Continuous Integration/Continuous Deployment (CI/CD)
Cybersecurity and Ethical Hacking with Python
- Introduction to Cybersecurity and Ethical Hacking
- Networking and TCP/IP Protocols
- Penetration Testing and Vulnerability Scanning
- Cryptography and Digital Forensics
- Python Tools and Libraries for Security