Python Programming
Course Description:
Discover the power of programming with Python! This introductory course is designed to provide you with a solid foundation in Python programming concepts and practices. Whether you're a beginner with no coding experience or looking to expand your programming skills, this course will guide you through the essentials of Python. You'll learn how to write clean and efficient code, work with data, create functions, and even delve into the world of object-oriented programming. By the end of the course, you'll have the skills to create your own Python programs and applications, and you'll be ready to explore more advanced topics in the world of programming.
Introduction to programming concepts
Role of Python in modern software development
Setting up the development environment (IDEs, text editors, Python installation)
Writing and running your first Python program
Variables, data types, and basic operations
Input and output methods
Conditional statements (if, else, elif)
Loops (for, while) and loop control statements (break, continue)
Introduction to functions and their importance
Function parameters and arguments
Return values and scope of variables
Error handling and exceptions
Lists and their operations (slicing, indexing, list methods)
Tuples and their immutability
Sets and their unique properties
List comprehensions for concise data manipulation
Iterating over data structures
Dictionaries and their key-value pairs
Nested data structures and multi-dimensional lists
More about list comprehensions and generator expressions
Manipulating and transforming data using built-in functions
Reading and writing to files (text and binary modes)
Working with CSV and JSON formats
Introduction to modules and libraries
Using built-in modules (math, random, datetime)
Exploring external libraries using pip
Creating and organizing your own modules
Understanding OOP concepts (classes, objects, attributes, methods)
Constructors and destructors
Encapsulation and information hiding
Inheritance and subclasses
Polymorphism and method overriding
Abstract classes and interfaces
Python coding style and adhering to PEP 8 guidelines
List comprehensions and generator expressions for efficient coding
Decorators and context managers for enhanced functionality
Writing clean, maintainable, and modular code
Version control using Git and GitHub
Data manipulation using NumPy arrays
Data analysis and manipulation using Pandas DataFrames
Data visualization with Matplotlib and Seaborn
Introduction to Jupyter Notebooks for interactive coding
Basics of web development architecture
Setting up a Flask application
Creating routes and handling requests
Rendering templates and working with HTML/CSS
Introduction to databases with Flask-SQLAlchemy
Collaborative final project integrating various concepts learned
Code optimization, debugging, and error handling
Final project presentations and peer code reviews
Recap of course highlights and key takeaways
Course Objectives:
By the end of this program, students should be able to:
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Introduce Python Fundamentals: Provide a solid grasp of Python syntax, data types, and basic operations, enabling students to write functional code from scratch.
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Build Problem-Solving Skills: Cultivate logical thinking and problem-solving abilities through hands-on exercises and coding challenges.
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Develop Control Structures Mastery: Enable students to effectively use conditional statements and loops to control program flow and make informed decisions.
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Create Modular Code: Teach the importance of modular programming, encouraging students to write reusable and maintainable functions.
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Explore Data Structures: Familiarize students with essential data structures like lists, tuples, sets, and dictionaries, and guide them in selecting the appropriate structure for different tasks.
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Initiate Object-Oriented Thinking: Introduce the principles of object-oriented programming (OOP) to enable students to design and build more sophisticated applications.
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Enhance File Handling Skills: Equip students with the ability to read from and write to files, and guide them in using common data serialization formats like CSV and JSON.
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Navigate External Libraries: Introduce the concept of libraries and modules, empowering students to leverage existing code to extend their program's functionality.
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Harness Data Manipulation and Visualization: Provide hands-on experience with libraries like NumPy and Matplotlib, enabling students to analyze data and create compelling visualizations.
