Target Audience for 55284A: Introduction to Python

Course 55284A: Introduction to Python is designed for beginners seeking to gain fundamental skills in Python programming. Ideal for those entering the field of software development.

Target Audience for Course 55284A:

• Aspiring Programmers with little to no prior programming experience
• Students interested in learning programming and considering a career in IT
• Professionals seeking to transition into tech roles requiring scripting knowledge
• Data Analysts looking to add Python skills for data manipulation and analysis
• IT Professionals who need to automate tasks or processes with Python scripts
• Hobbyists and DIY enthusiasts interested in learning Python for personal projects
• System Administrators seeking to write or understand Python scripts for automation
• Entrepreneurs who want to understand the technical aspects of their tech projects
• Academic Researchers requiring programming skills for data processing and analysis
• Educators and Teachers aiming to incorporate Python programming into their curriculum

Learning Objectives - What you will Learn in this 55284A: Introduction to Python?

Introduction to the Course's Learning Outcomes and Concepts Covered

This course provides a comprehensive introduction to Python programming, covering basic syntax, data structures, flow control, file handling, and more to equip students with foundational Python skills.

Learning Objectives and Outcomes

• Understand and apply Python's basic syntax and script structure by writing and executing Python scripts.
• Create, manipulate, and understand Python variables, data types, and fundamental operators to perform calculations and process data.
• Define and use functions, including understanding scope, parameters, and return values to modularize code.
• Utilize Python's built-in and external modules to extend the functionality of Python scripts.
• Work with Python's string manipulation capabilities to format, search, and present text data effectively.
• Manage and operate on sequences, dictionaries, and sets to organize and process data collections.
• Implement flow control with conditional statements and loops to direct the execution flow of scripts.
• Set up and use virtual environments for project dependencies to ensure consistent execution across different systems.
• Employ regular expressions for pattern matching and text processing tasks.
• Perform file operations, including reading from and writing to files, and navigate the file system using os and os.path modules.
• Handle errors and exceptions gracefully to improve the reliability and user experience of Python applications.
• Work with dates and times using Python's time and datetime modules for time-sensitive script operations.
• Execute Python scripts from the command line, leveraging command-line arguments and paths to interact with the operating system.