Basics of Python
Duration
4 Weeks
About the Course
This certification course is designed to provide a thorough understanding of Python programming. It covers fundamental concepts, advanced topics, and practical applications to ensure proficiency in Python. The course includes hands-on projects, real-world examples, and exercises to solidify your knowledge.
Stage | Concepts | Tools | Topics |
1. Introduction | - What is Python? | - Python Interpreter | - Installing Python |
- Python vs Other Languages | - IDLE | - Writing and Running First Script | |
- Basic Syntax | - Python Basics | ||
2. Basics | - Variables | - IDLE | - Data Types |
- Data Types | - Jupyter Notebook | - Variables and Constants | |
- Operators | - VS Code | - Basic Operators | |
- Comments | - Comments and Documentation | ||
3. Control Structures | - Conditional Statements | - IDLE | - if, elif, else |
- Loops | - Jupyter Notebook | - for and while loops | |
- Break and Continue | - VS Code | - Nested Loops | |
- Loop Control Statements | |||
4. Functions | - Defining Functions | - IDLE | - Function Syntax |
- Arguments and Parameters | - Jupyter Notebook | - Default and Keyword Arguments | |
- Return Statement | - VS Code | - Scope and Lifetime of Variables | |
- Lambda Functions | - Lambda Expressions | ||
5. Data Structures | - Lists | - IDLE | - List Methods |
- Tuples | - Jupyter Notebook | - Tuple Operations | |
- Sets | - VS Code | - Set Operations | |
- Dictionaries | - Dictionary Methods | ||
- List Comprehensions | - Comprehensions | ||
6. Modules and Packages | - Importing Modules | - IDLE | - Standard Library |
- Creating Modules | - Jupyter Notebook | - Third-party Modules (pip) | |
- Packages | - VS Code | - Writing Your Own Modules and Packages | |
7. File Handling | - Opening Files | - IDLE | - Reading and Writing Files |
- Reading and Writing Files | - Jupyter Notebook | - File Methods | |
- Working with Directories | - VS Code | - Handling Exceptions | |
8. Exception Handling | - try, except, finally | - IDLE | - Types of Exceptions |
- Raising Exceptions | - Jupyter Notebook | - Handling Multiple Exceptions | |
- Custom Exceptions | - VS Code | - Custom Exception Classes | |
9. Object-Oriented | - Classes and Objects | - IDLE | - Defining Classes |
- Inheritance | - Jupyter Notebook | - Creating Objects | |
- Polymorphism | - VS Code | - Methods and Constructors | |
- Encapsulation | - Inheritance and Polymorphism | ||
- Abstract Classes | - Encapsulation and Data Hiding | ||
10. Advanced Topics | - Decorators | - IDLE | - Decorators |
- Generators | - Jupyter Notebook | - Generators | |
- Context Managers | - VS Code | - Context Managers | |
- Iterators | - Iterators | ||
11. Libraries and Frameworks | - NumPy, Pandas, Matplotlib | - Jupyter Notebook | - Data Analysis Libraries |
- Django, Flask | - Anaconda | - Web Frameworks | |
- Scikit-learn, TensorFlow | - PyCharm | - Machine Learning Libraries | |
12. Testing and Debugging | - Writing Tests | - Pytest | - Unit Testing |
- Debugging Techniques | - Unittest | - Debugging Strategies | |
- pdb | - Continuous Integration Tools | ||
13. Development Tools | - Virtual Environments | - venv, virtualenv | - Setting up Environments |
- Version Control | - Git, GitHub | - Basic Git Commands | |
- IDEs | - PyCharm, VS Code | - Using IDE Features |