The Complete Syllabus for Learning Python

Beginner Level:

1. Introduction to Python
   • Overview of Python and its features.
   • Installing Python and setting up the development environment.
   • Understanding Python’s syntax and basic data types.
2. Variables, Data Types, and Operators
   • Declaring variables and understanding variable assignment.
   • Working with different data types (integers, floats, strings, booleans).
   • Using arithmetic, comparison, and logical operators.
3. Control Structures
   • Implementing conditional statements (if, else if, else) for decision making.
   • Implementing loops (for, while) for iterative tasks.
   • Understanding loop control statements (break, continue) and nested loops.
4. Data Structures
   • Introduction to data structures like lists, tuples, dictionaries, and sets.
   • Performing basic operations on data structures (accessing elements, adding/removing items).
   • Understanding the characteristics and usage of each data structure.
5. Functions and Modules
   • Defining and calling functions with parameters and return values.
   • Understanding scope and lifetime of variables.
   • Organizing code into modules and importing modules for code reuse.

Intermediate Level:

6. File Handling and I/O Operations
   • Reading from and writing to files using file handling operations.
   • Working with file objects and file modes.
   • Handling exceptions and errors during file operations.
7. String Manipulation and Regular Expressions
   • Performing string manipulation tasks using built-in string methods.
   • Understanding regular expressions for pattern matching and text processing.
   • Applying regular expressions for tasks like validation and search operations.
8. Object-Oriented Programming (OOP)
   • Understanding the principles of OOP (classes, objects, inheritance, polymorphism).
   • Defining classes and creating objects in Python.
   • Implementing inheritance, encapsulation, and polymorphism in Python classes.
9. Working with Modules and Packages
   • Creating and importing custom modules and packages.
   • Exploring built-in modules and using third-party libraries.
   • Installing and managing packages using package managers like pip.
10. Exception Handling and Debugging
    • Handling exceptions using try-except blocks.
    • Raising custom exceptions and exception chaining.
    • Debugging Python code using print statements, logging, and debugging tools.

Advanced Level:

11. Advanced Data Structures
    • Exploring advanced data structures like stacks, queues, heaps, and trees.
    • Implementing data structures and algorithms for specific tasks.
    • Analyzing the time and space complexity of algorithms.
12. Concurrency and Parallelism
    • Understanding concepts of concurrency and parallelism.
    • Exploring multithreading and multiprocessing in Python.
    • Using synchronization mechanisms like locks and semaphores.
13. Database Programming with Python
    • Connecting to databases using Python libraries (e.g., psycopg2 for PostgreSQL, pymysql for MySQL).
    • Executing SQL queries and transactions from Python.
    • Working with database APIs and ORMs (e.g., SQLAlchemy) for data manipulation.
14. Web Development with Python
    • Introduction to web frameworks like Flask or Django.
    • Building web applications using Python and web frameworks.
    • Implementing RESTful APIs, handling HTTP requests, and serving web content.
15. Data Science and Machine Learning
    • Introduction to data analysis libraries like NumPy, Pandas, and Matplotlib.
    • Exploring machine learning libraries like scikit-learn and TensorFlow.
    • Building machine learning models and performing data analysis tasks.
16. Deployment and DevOps
    • Packaging Python applications for deployment.
    • Setting up continuous integration and deployment pipelines.
    • Deploying Python applications to cloud platforms like AWS, Azure, or Google Cloud.