55284A: Introduction to Python

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About Course

The 55284A: Introduction to Python course is a comprehensive training program designed to introduce learners to the world of Python programming. Covering a breadth of topics from the very basics of running Python and writing simple scripts to more advanced concepts like handling exceptions, working with dates and times, and running Python scripts from the command line, this course is structured to provide a strong foundation in Python.Throughout the modules, learners engage in lessons that include practical lab exercises, reinforcing their understanding of concepts like variables, functions, modules, and file processing. They will gain proficiency in flow control with conditional statements and loops, understand how to manipulate strings and work with iterables like sequences, dictionaries, and sets, and learn to utilize virtual environments for project isolation.By the end of the course, participants will have a solid grasp of Python that will serve as a platform for further learning and development in the language. Whether it’s for data analysis, web development, automation, or scientific computing, this course equips learners with the necessary skills to start creating their own Python programs and scripts effectively.

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What Will You Learn?

  • 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.