Introductory Python Lectures

This repository contains Jupyter Notebooks and resources for learning Python basics, including variables, loops, file I/O, data analysis, and visualization. These notebooks are designed to be run using Binder or a local Jupyter Notebook environment.

Notebooks

• Day 1: Python Basics
  • Getting started with Python and Jupyter Notebooks.
  • Variables, data types, control flow, and functions.
• Day 2: File I/O and Data Analysis
  • Reading and writing files.
  • NumPy arrays and manipulations.
  • Data analysis with pandas and visualization with matplotlib.

Prerequisites

To run these notebooks locally, you need Python installed along with the following libraries:

• numpy
• pandas
• matplotlib

Running Notebooks

Option 1: Online with Binder

1. Click the Binder badge below to launch the notebooks in an online environment:

Option 2: Local Environment

1. Clone this repository.
2. Install dependencies using the command:

   pip install -r requirements.txt

3. Launch Jupyter Notebook:

   jupyter notebook