• By the end of the course, participants will be equipped with the knowledge and hands-on experience to write, structure, and debug Python programs aligned with PCAP certification standards.
  • Gain in-depth understanding of Python fundamentals, including data types, variables, and operators.
  • Learn how Python executes code through scripts, the interpreter, and the execution model.
  • Understand control structures such as conditionals, loops, and comprehensions for efficient program flow.
  • Develop skills in creating reusable functions, managing scope, and using built-in libraries.
  • Work extensively with Python data structures—lists, tuples, sets, and dictionaries—to store and process data.
  • Apply object-oriented programming concepts including classes, objects, inheritance, and encapsulation.
  • Implement safe and structured error handling with exceptions and custom exception types.
  • Work with files to read, write, and manage data using proper handling techniques.
  • Explore essential Python libraries such as NumPy, pandas, and Matplotlib for data manipulation and visualization.
  • Learn debugging practices, testing concepts, and the unit test framework to ensure code quality.
  • Prepare effectively for the PCAP certification with exam-focused reviews, sample questions, and structured practice.

• Basic Computer Skills: Participants should be comfortable using a computer, navigating file systems, and working with basic software applications.
• Optional Familiarity with Programming Concepts: Awareness of concepts such as variables, data types, and simple control structures can be helpful but is not mandatory.

This training will equip you for the following job roles and career paths:

• Python Developer
• Software Engineer
• Data Analyst
• Web Developer
• Quality Assurance (QA) Engineer

Module 1: Introduction to Python

• Overview of Python programming language
• Installation and setup of Python environment
• Writing and running Python scripts
• Understanding the Python interpreter and execution model

Module 2: Python Basics

• Data types (integers, floats, strings, booleans)
• Variables and constants
• Operators (arithmetic, relational, logical)
• Input and output functions

Module 3: Control Structures

• Conditional statements (if, elif, else)
• Loops (for loops, while loops)
• Break and continue statements
• List comprehensions

Module 4: Functions in Python

• Defining and calling functions
• Function parameters and return values
• Scope of variables (local vs. global)
• Anonymous functions (lambda)
• Built-in functions and standard libraries

Module 5: Data Structures

• Lists, tuples, sets, and dictionaries
• Manipulating and iterating through data structures
• Understanding and using list methods
• Data structure comprehension

Module 6: Object-Oriented Programming (OOP)

• Introduction to OOP concepts
• Defining classes and creating objects
• Attributes and methods
• Inheritance and polymorphism
• Encapsulation and data hiding

Module 7: File Handling

• Reading from and writing to files
• Working with file objects
• Exception handling for file operations
• Using with statement for file operations

Module 8: Error Handling and Exceptions

• Understanding exceptions and error handling
• Using try, except, finally
• Raising exceptions
• Creating custom exceptions

Module 9: Working with Libraries and Frameworks

• Introduction to the Python Standard Library
• Overview of popular libraries (NumPy, pandas, Matplotlib)
• How to install and use third-party libraries with pip

Module 10: Testing and Debugging

• Understanding the importance of code testing
• Writing test cases and using the unittest framework
• Debugging techniques and tools
• Using print statements and logging for debugging

Module 11: Preparing for the PCAP Certification Exam

• Overview of the PCAP certification exam structure and requirements
• Review of key topics covered in the curriculum
• Sample questions and practice exams
• Tips for effective exam preparation and time management