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⌨️ Introduction to Course
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Classroom Contents
Python Data Analysis and Visualization Course – Astronomical Data
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- 1 ⌨️ Introduction to Course
- 2 ⌨️ Introduction to Google Colab
- 3 ⌨️ Python Comments
- 4 ⌨️ Variables and Constants
- 5 ⌨️ Basic Data Types
- 6 ⌨️ f-string
- 7 ⌨️ User inputs
- 8 ⌨️ Data Type Conversions
- 9 ⌨️ Control Flow
- 10 ⌨️ Functions
- 11 ⌨️ Intro to Tabular Dataset
- 12 ⌨️ Importing the libraries for tabular dataset
- 13 ⌨️ Exploring the tabular dataset
- 14 ⌨️ Creating First Visualization with barplot matplotlib
- 15 ⌨️ Adding customization to barplot
- 16 ⌨️ Creating bargraph using Seaborn
- 17 ⌨️ Visusalizing outliers using boxplot
- 18 ⌨️ Introducing subplots using matplotlib
- 19 ⌨️ Line plots
- 20 ⌨️ Pair plot and scatter plot
- 21 ⌨️ Creating HR Diagram
- 22 ⌨️ Downloading visualizations
- 23 ⌨️ Understanding Images, pixels, grayscale and colors
- 24 ⌨️ What are FITS file?
- 25 ⌨️ Installing Astroquery
- 26 ⌨️ SkyView Form - Virtual Telescope
- 27 ⌨️ Visualize Andromeda galaxy
- 28 ⌨️ Creating FITS file and testing
- 29 ⌨️ Pixel Distribution
- 30 ⌨️ MinMax Pixel Scaling
- 31 ⌨️ Standard Scaling, Log Normalization, Square root normalization
- 32 ⌨️ ZScaleInterval
- 33 ⌨️ Convolution Operation - Why? Why? and Demonstration
- 34 ⌨️ Gaussian Denoising
- 35 ⌨️ Enhancing features with Meijering and Sato filter
- 36 ⌨️ Corner Foerstner - What and How to use it in Python
- 37 ⌨️ Multiscale Basic Features using skimage
- 38 ⌨️ Conclusion
