Curriculum
- 8 Sections
- 23 Lessons
- 10
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- Module 1: Python Basics3
- 1.1Understanding the fundamentals of the Python language, including variables, data types, operators, control flow, and functions.
- 1.2Learning about Python’s syntax and conventions for writing clean and readable code.
- 1.3Working with Python’s built-in data structures, such as lists, dictionaries, tuples, and sets.
- Module 2: Object-Oriented Programming (OOP) in Python3
- Module 3: Python Libraries and Frameworks3
- 3.1Exploring popular Python libraries and frameworks, such as NumPy, Pandas, Matplotlib, and TensorFlow.
- 3.2Leveraging these libraries to perform tasks such as data manipulation, scientific computing, data visualization, and machine learning.
- 3.3Understanding how to install and manage Python packages using tools like pip and virtual environments.
- Module 4: Web Development with Python3
- Module 5: Data Analysis and Visualization3
- Module 6: Testing and Debugging2
- Module 7: Deployment and Scalability3
- 7.1Understanding deployment options for Python applications, including local environments, virtual machines, and cloud platforms.
- 7.2Optimizing code and considering scalability and performance factors.
- 7.3Utilizing tools like Docker and Kubernetes for containerization and orchestration of Python applications.
- Module 8: Best Practices and Code Quality3
- 8.1Following coding standards and best practices, such as PEP 8, for writing clean, maintainable, and efficient Python code.
- 8.2Using version control systems like Git to manage code repositories and collaborate with other developers.
- 8.3Implementing code documentation and using code linters to ensure code quality.