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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: Binder

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