Core & Advance Python
Core & Advanced Python syllabus designed specifically for IT-based professional training.
Each section focuses on important industry-relevant concepts and can be used directly on your course webpage or brochure.
1. Python Fundamentals
- Introduction to Python and its applications in IT.
- Installing Python and setting up the development environment.
- Understanding Python syntax and coding standards.
- Working with variables and different data types.
- Type conversion and dynamic typing.
- Taking user input and displaying output.
- Writing clean and readable Python programs.
2. Operators and Decision Making
- Arithmetic, comparison, logical and assignment operators.
- Understanding operator precedence.
- Conditional statements using
if,elifandelse. - Nested conditional statements.
- Using conditional logic in real-world applications.
- Introduction to pattern matching using
match-case.
3. Loops and Iteration
- Understanding iterative programming concepts.
- Working with
forloops. - Working with
whileloops. - Using nested loops.
- Understanding
break,continueandpass. - Iterating through strings, lists, dictionaries and other collections.
- Solving practical programming problems using loops.
4. Python Data Structures
- Working with Lists and list operations.
- Understanding Tuples and immutable data.
- Using Sets for unique data management.
- Working with Dictionaries and key-value pairs.
- List, dictionary and set comprehensions.
- Sorting and searching data.
- Choosing the appropriate data structure for applications.
5. Functions and Modular Programming
- Creating and calling functions.
- Understanding parameters and arguments.
- Positional and keyword arguments.
- Default and variable-length arguments.
- Return statements and multiple return values.
- Lambda and anonymous functions.
- Creating reusable modules and packages.
6. Object-Oriented Programming
- Understanding classes and objects.
- Creating constructors using
__init__. - Instance and class variables.
- Implementing encapsulation.
- Understanding inheritance and code reuse.
- Method overriding and polymorphism.
- Using abstraction for application design.
7. Exception and Error Handling
- Understanding syntax, runtime and logical errors.
- Using
try,except,elseandfinally. - Handling multiple exceptions.
- Raising exceptions using
raise. - Creating custom exceptions.
- Implementing proper error handling in applications.
8. File Handling and Data Processing
- Reading and writing text files.
- Working with CSV files.
- Processing JSON data.
- Using context managers with
with. - Managing file paths and directories.
- Handling large files efficiently.
- Building practical data-processing programs.
9. Advanced Python Concepts
- Understanding iterators and generators.
- Using
yieldfor memory-efficient processing. - Working with decorators.
- Understanding closures.
- Using
*argsand**kwargs. - Introduction to regular expressions.
- Writing efficient and optimized Python code.
10. Database Programming with Python
- Introduction to relational databases.
- Connecting Python applications with MySQL.
- Performing CRUD operations.
- Executing parameterized SQL queries.
- Handling database transactions.
- Building database-driven applications.
- Introduction to ORM concepts.
11. Python for API Development
- Understanding REST APIs and HTTP methods.
- Working with JSON data.
- Sending API requests using Python.
- Using the
requestslibrary. - Handling API responses and errors.
- Creating APIs using Flask or FastAPI.
- Testing APIs using Postman.
12. Python Automation and Web Scraping
- Automating repetitive IT tasks.
- Working with operating system files.
- Using Python scripts for automation.
- Introduction to web scraping.
- Working with BeautifulSoup.
- Extracting and processing web data.
- Introduction to browser automation concepts.
13. Python Testing and Debugging
- Debugging Python applications.
- Using breakpoints and debugging tools.
- Introduction to unit testing.
- Writing test cases using
unittest. - Understanding test automation concepts.
- Logging application activities.
- Improving code reliability and maintainability.
13. Python Project Development
- Applying Core and Advanced Python concepts.
- Developing modular applications.
- Database integration with Python.
- API integration and data handling.
- Implementing authentication concepts.
- Following proper project structure.
- Developing an industry-oriented capstone project.
Key Skills You Will Gain
Core & Advanced Python Programming
Object-Oriented Programming
File & Database Handling
API Development & Integration
Automation & Web Scraping
Error Handling & Debugging
Software Testing Fundamentals
Industry-Oriented Python Project Development