Section outline

• Select section Day 1: Python Fundamentals (7 Hours)

  Day 1: Python Fundamentals (7 Hours)

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  Module 1: Introduction to Python (1 Hour)

  • What is Python?
  • Python's popularity & use cases.
  • Setting up the Python environment (Installation & IDE setup).
  • Writing your first Python program.

  Module 2: Basic Syntax & Data Types (2 Hours)

  • Python syntax & indentation.
  • Variables & data types (integers, floats, strings, booleans).
  • Basic input/output operations.
  • Type conversion & type checking.

  Module 3: Operators & Expressions (1 Hour)

  • Arithmetic, relational, logical, and assignment operators.
  • Operator precedence & associativity.
  • Working with expressions & basic math functions.

  Module 4: Control Flow (2 Hours)

  • Conditional statements: if, elif, else.
  • Loops: for and while loops.
  • Break, continue, and pass statements.

  Module 5: Working with Strings (1 Hour)

  • String operations & methods.
  • String formatting techniques.
  • Working with substrings & slicing.

  Hands-on Lab: Writing Python scripts for data processing.
• Select section Day 2: Data Structures, Functions & File Handling (7 Hours)

  Day 2: Data Structures, Functions & File Handling (7 Hours)

  Module 6: Data Structures (2 Hours)

  • Lists: Creating, accessing, slicing & modifying lists.
  • Tuples: Understanding immutable sequences.
  • Dictionaries: Key-value pairs, adding, modifying & deleting items.
  • Sets: Unique elements & set operations.

  Module 7: Functions & Modules (2 Hours)

  • Defining & calling functions.
  • Function arguments & return values.
  • Lambda functions & list comprehensions.
  • Importing & using modules.

  Module 8: Error Handling (1 Hour)

  • Types of errors in Python.
  • Using try, except, finally blocks.
  • Raising exceptions.

  Module 9: File Handling (1 Hour)

  • Reading from & writing to files.
  • Working with file paths.
  • File handling best practices.

  Module 10: Introduction to Python Libraries (1 Hour)

  • Overview of NumPy, Pandas, Matplotlib.
  • How to install & import libraries.
  • Brief overview of use cases for each library.

  Module 11: Final Project & Review (1 Hour)

  • Mini-project: Build a simple Python application (e.g., calculator, data manipulation task).
  • Review of key concepts & Q&A.
  • Next steps for further learning.