Python Essentials

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Python Essentials

Category: Programming

Duration: 30 Hrs

Introduce learners to core Python programming concepts, syntax, and data structures. By the end of the course, students will be able to write clean, functional Python code and build simple applications using real-world logic.

Course Modules

Description:

Kickstart your Python journey by understanding its history, strengths, and how to set up your coding environment.

Skills Learned:

  • Understand Python’s evolution and use cases
  • Install Python and configure IDEs like VS Code or Thonny
  • Write and run your first Python script
  • Grasp basic syntax, indentation, and comments

Description:

Learn how to store, manipulate, and evaluate data using Python’s built-in types and operators.

Skills Learned:

  • Declare variables and constants
  • Use data types: int, float, str, bool
  • Perform type casting and conversions
  • Apply arithmetic, logical, and comparison operators

Description:

Control the flow of your program using conditional logic and loops.

Skills Learned:

  • Write conditional statements: if, if-else, elif, nested if
  • Use loops: for, while
  • Apply loop control: break, continue, pass
  • Build decision-based programs

Description:

Encapsulate logic into reusable blocks and explore Python’s modular architecture.

Skills Learned:

  • Define and call functions
  • Use parameters, arguments, and return values
  • Understand scope and lifetime of variables
  • Import built-in and custom modules
  • Use math, random, and other standard libraries

Description:

Manipulate text and collections using Python’s powerful string and list features.

Skills Learned:

  • Use string methods: slicing, formatting, searching
  • Perform list operations: indexing, appending, removing
  • Apply list methods: sort(), reverse(), count()
  • Write list comprehensions for concise logic

Description:

Explore Python’s other core data structures and their unique properties.

Skills Learned:

  • Create and use tuples for immutable sequences
  • Perform set operations: union, intersection, difference
  • Use dictionaries for key-value storage
  • Apply dictionary methods: get(), items(), update()
  • Choose the right data structure for the task

Description:

Learn how to read from and write to files, enabling data persistence.

Skills Learned:

  • Open, read, write, and close text files
  • Use with statement for safe file handling
  • Work with CSV files using csv module
  • Handle file exceptions gracefully

Description:

Apply everything you’ve learned in a mini project. Showcase your understanding through code review and presentation.

Skills Learned:

  • Design and build a small Python application
  • Apply modular code and data structures
  • Demonstrate file handling and control logic
  • Present code with clarity and receive feedback