NumPy Practice Questions

A concise, hands-on introduction to NumPy through daily exercises and solutions.

Overview

This folder contains a sequence of short lessons and coding exercises (DAY01..DAY10) designed to build practical NumPy skills: arrays, indexing, broadcasting, linear algebra, statistics, and performance patterns.

Structure

• DAY01..DAY10/: Daily exercises and solutions

Each DAY directory typically includes one or more Python scripts with example problems and solution code.

Prerequisites

• Python 3.8+ installed
• NumPy (install with pip install numpy)

Optional: create and activate a virtual environment before installing packages:

python -m venv .venv
.\.venv\Scripts\activate
pip install --upgrade pip
pip install numpy

Running the exercises

• Run a script directly with Python, for example:

python DAY03/solution.py

• Or run the examples from the repository root pointing to the desired file:

python NumPy101/DAY06/Solution3.py

Adjust filenames as needed — some files use different capitalization (e.g. Solution3.py).

Tests

There are no formal tests included here; to validate code, run scripts and experiment in an interactive REPL or notebook.

Contributing

• Add new exercises by creating a new DAYNN directory with a problem file and a solution file.
• Use clear file names and include short docstrings or comments explaining the intent of each exercise.

License

This collection is provided for learning purposes. Use and modify freely; include attribution if you redistribute.