Advanced Python Programming
Course Overview
Python is a high-level, general-purpose programming language that is widely used in a variety of fields, including web development, data science, scientific computing, and artificial intelligence. It is known for its simplicity, readability, and flexibility, making it an excellent language for beginners. Python has a large and active community, which means there are many resources available for learning and a wealth of third-party libraries that can be used to extend its functionality. Python also has a rich ecosystem of tools for development, testing, and deployment, making it a great choice for building and deploying applications. In addition to its versatility, Python has strong support for object-oriented programming, making it a popular choice for building scalable, maintainable software
Course Objectives
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Develop a basic understanding of the Python programming language and its syntax.
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Write Python programs using control structures, loops, and functions.
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Understand and use Python data types, such as lists, dictionaries, sets, and tuples.
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Use Python modules and libraries to expand the functionality of your programs.
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Understand and use object-oriented programming concepts in Python, such as classes, objects, inheritance, and polymorphism.
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Work with files and data in Python, including reading and writing files, parsing and processing data, and using regular expressions.
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Create simple web applications using the Flask framework.
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Use Python for data analysis and visualization using tools such as Pandas, Numpy, and Matplotlib.
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Understand and use advanced Python concepts such as decorators, generators, and asynchronous programming.
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Practice best practices in Python programming, including debugging, testing, and documentation.
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Develop a capstone project to demonstrate the skills and knowledge acquired in the course.
Course Outline
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Introduction to Python: history, features, and applications of Python.
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Python fundamentals: data types, operators, control structures, loops, and functions.
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Python data structures: lists, dictionaries, sets, and tuples.
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Python modules and libraries: using built-in and third-party modules, handling exceptions, and using the
import
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Object-oriented programming in Python: classes, objects, inheritance, and polymorphism.
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Working with files and data: reading and writing files, parsing and processing data, and using regular expressions.
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Web development with Python: creating web applications with the Flask framework and interacting with web APIs.
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Python for data analysis: using Pandas, Numpy, and Matplotlib for data manipulation, analysis, and visualization.
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Advanced Python concepts: decorators, generators, and asynchronous programming.
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Python best practices: debugging, testing, and documentation.
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Python projects: applying the concepts learned in a capstone project

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