Python Programming Journey

📌 Overview

This repository documents my Python programming journey, covering foundational to intermediate concepts with a focus on data analytics applications.

The project demonstrates progressive learning from basic Python concepts to data manipulation, visualization, and time series analysis.

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📚 Topics Covered

• Basics of Python Programming
• List Demonstrations
• Dictionaries in Python
• Conditional Statements (if-else logic)
• Importing Data into Python Environment
• Data Cleaning in Python
• Data Manipulation in Python
• Data Visualization in Python
• Working with Time Series Data

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🎯 Purpose of This Project

The purpose of this repository is to:

• Build a strong foundation in Python programming
• Develop essential skills for data analytics
• Practice handling and analyzing real-world datasets
• Learn data cleaning, transformation, and visualization techniques

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🛠️ Tools & Libraries Used

• Python
• Pandas
• NumPy
• Matplotlib / Seaborn (for visualization)
• Jupyter Notebook / Python scripts

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🚀 Learning Outcome

By completing this journey, I have gained hands-on experience in:

• Writing Python programs from scratch
• Handling structured data
• Performing basic data analysis
• Creating visual insights from data
• Understanding time-based data patterns

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▶️ How to Run

1. Clone this repository
2. Open the project in VS Code or another Python IDE
3. Run the Python file using Python 3

python DA07_Python_Programming_Journey.py

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📌 Git Workflow (How to Update This Repo)

After making changes, use the following commands:

git status
git add .
git commit -m "Update README with project information"
git push

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👩‍💻 Author

Sabahat Naz
Python & Data Analytics Enthusiast
This project is part of my learning journey in data analytics.

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📌 Note

This repository will continue to evolve as I progress further in my data analytics learning journey.