Skip to content

readme.md

Latest commit

 

History

History
45 lines (28 loc) · 1.44 KB

readme.md

File metadata and controls

45 lines (28 loc) · 1.44 KB

Python Workbook Exercises

Welcome to the Python Workbook exercises! This repository contains step-by-step instructions to guide you through various Python and data science concepts using interactive Jupyter notebooks.

Exercises

Exercise 1: Astropy and FITS Files

This exercise introduces basic operations in Python for handling FITS files and astronomical data:

  • We will import essential libraries.
  • Load data from a FITS file (hst_results_nd.fits).
  • Perform basic data extraction and visualization of star distributions.
  • Explore concepts like extinction values, distance distributions, and color-magnitude diagrams (CMD).

File: Exercise1_workbook

PDF Instructions:Exercise1_workbook_pdf

Exercise 2: Advanced Plotting and Analysis

This second exercise focuses on advanced plotting techniques and data analysis:

  • We will work with external datasets.
  • Perform data manipulation and visualizations.
  • Explore advanced charting techniques like histograms, scatter plots, and heatmaps.

File: Exercise2_workbook

PDF Instructions:Exercise2_workbook_pdf

Requirements

To run these exercises, you will need the following Python libraries:

  • astropy
  • matplotlib
  • numpy
  • pandas
  • jupyter (for running the notebooks)

You can install all the dependencies using pip:

pip install astropy matplotlib numpy pandas jupyter