🧮 Task 3 — NumPy, Pandas & Matplotlib

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📘Task Overview

This task focuses on mastering three of the most powerful Python libraries for data analysis and visualization:

• NumPy → Numerical computing and array manipulation
• Pandas → Data cleaning, transformation, and analysis
• Matplotlib → Data visualization and charting

You will work through a series of exercises (as described in the provided PDF guide) and complete them in a Jupyter Notebook (.ipynb).

Once finished, you’ll upload your work to your private GitHub repository under the RoboManipal2025 organization.

👉 One PDF guides will be provided:

• First Year Pdf

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⚙️ Setup Instructions

Before starting, ensure that Jupyter Notebook is installed and running correctly on your system.

🧩 Run the following commands in your command prompt

pip install notebook
jupyter notebook

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📤 Submission Instructions

• Complete all tasks in a single Jupyter Notebook file — e.g., Numpy_Pandas_Task.ipynb.

• Ensure your notebook runs cleanly from start to finish with no errors.

• Include all code, plots, and explanations inside the notebook.

• Push the following files to your private GitHub repository under RoboManipal2025:

  • Numpy_Pandas_Task.ipynb

• Follow the folder structure rule:

YourRepoName/
├── Task0/
│   └── (files for Task 0)
├── Task1/
│   └── (files for Task 1)
├── Task2/
│   ├── (files for Task 2)
├── Task3/
│   └── Numpy_Pandas_Task.ipynb

• Keep all Task 3 related files inside the Task3 folder.

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📚 Learning Resources

• Official Numpy Documentation
• W3Schools Numpy Tutorial
• GeeksforGeeks – NumPy Basics
• Numpy Tutorial Video
• Pandas Official Documentation
• W3Schools Pandas Tutorial
• Pandas Tutorial Video

📌 Deadline: 19th october, 11:59 pm