🐍 Python Tutorial — Workbook Series

This repository showcases my Python learning journey through a series of structured workbooks, each focusing on key programming concepts and applied exercises. The workbooks were developed to strengthen my understanding of fundamental and intermediate Python skills — from syntax and debugging to object-oriented programming.

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📘 Workbook 1 — Basics of Python

This workbook focuses on the foundational concepts of Python programming.
Each exercise contained intentional coding errors that were fixed and explained.
It covers:

• Identifying and correcting syntax and logic errors
• Variables, expressions, and statements
• Conditional execution
• Functions and basic program structure

Purpose: Build a strong foundation in debugging and logical problem-solving.

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📗 Workbook 2 — Strings and File Handling

This section introduces string manipulation and file operations.
The main exercises involve:

• Processing and parsing text files
• Extracting and computing values from specific patterns (e.g., spam confidence values)
• Performing average calculations and simple data analysis

Purpose: Strengthen text handling and file-reading skills essential for data processing.

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📙 Workbook 3 — Dictionaries and Text Processing

This workbook emphasizes data structures and parsing techniques.
The exercises focus on:

• Creating and managing dictionaries
• Iterating through key-value pairs
• Splitting strings into word lists
• Parsing and analyzing email data for timestamps and content

Purpose: Learn to represent, count, and organize data using dictionaries and loops.

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📒 Workbook 4 — Python Objects and OOP Concepts

This final workbook explores object-oriented programming (OOP) principles.
It covers:

• Understanding classes, objects, and instances
• Differentiating methods from functions, and attributes from variables
• Comparing procedural and object-oriented paradigms
• Discussing the advantages of using classes for modular code design

Purpose: Transition from procedural programming to object-oriented thinking for better code structure and reusability.

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📁 Repository Structure

Each workbook is organized into separate folders, with exercises and notebooks grouped by chapter:

• Workbook 1: Basic Syntax and Debugging
• Workbook 2: Strings and File Handling
• Workbook 3: Dictionaries and Text Parsing
• Workbook 4: Object-Oriented Programming

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👨‍💻 Author

John Rey Ortigas
BS Computer Science Student
📍 Focused on Data Science, Data Analysis, Software Engineering, Machine Learning and Intelligent Systems
🔗 GitHub Python Tutorial

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📜 Description

This repository documents my progression in learning Python — moving from foundational programming logic to structured, object-oriented code.
It demonstrates hands-on exercises, practical debugging, and project organization suitable for both academic and self-learning purposes.