Chapters (38)
- 0:34Introduction to Course
- 3:54Introduction to Google Colab
- 9:13Python Comments
- 14:39Variables and Constants
- 21:26Basic Data Types
- 33:06f-string
- 42:14User inputs
- 47:43Data Type Conversions
- 59:34Control Flow
- 1:19:34Functions
- 1:46:05Intro to Tabular Dataset
- 1:48:14Importing the libraries for tabular dataset
- 1:51:44Exploring the tabular dataset
- 2:08:55Creating First Visualization with barplot matplotlib
- 2:12:48Adding customization to barplot
- 2:31:26Creating bargraph using Seaborn
- 2:39:54Visusalizing outliers using boxplot
- 2:46:13Introducing subplots using matplotlib
- 2:53:57Line plots
- 3:05:04Pair plot and scatter plot
- 3:16:25Creating HR Diagram
- 3:49:18Downloading visualizations
- 3:54:44Understanding Images, pixels, grayscale and colors
- 4:07:44What are FITS file?
- 4:11:24Installing Astroquery
- 4:13:44SkyView Form - Virtual Telescope
- 4:19:12Visualize Andromeda galaxy
- 4:41:14Creating FITS file and testing
- 4:52:19Pixel Distribution
- 5:01:39MinMax Pixel Scaling
- 5:12:30Standard Scaling, Log Normalization, Square root normalization
- 5:22:34ZScaleInterval
- 5:43:39Convolution Operation - Why? Why? and Demonstration
- 5:50:13Gaussian Denoising
- 6:02:21Enhancing features with Meijering and Sato filter
- 6:11:12Corner Foerstner - What and How to use it in Python
- 6:19:21Multiscale Basic Features using skimage
- 6:30:02Conclusion
Show the creator's full description
Learn data analysis, data visualizations, and image processing techniques using real-world astronomical data. The course offers a practical, hands-on approach to simplifying complex concepts in data analysis, making it great for beginners.
Code: https://drive.google.com/drive/folders/1KufkfHYGUyQmqexkKjgGJZgWgeh69ENf?usp=sharing
✏️ Course developed by @Spartificial
Spartificial Website: https://spartificial.com/
❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)
⭐️ Contents ⭐️
⌨️ (0:00:34) Introduction to Course
⌨️ (0:03:54) Introduction to Google Colab
⌨️ (0:09:13) Python Comments
⌨️ (0:14:39) Variables and Constants
⌨️ (0:21:26) Basic Data Types
⌨️ (0:33:06) f-string
⌨️ (0:42:14) User inputs
⌨️ (0:47:43) Data Type Conversions
⌨️ (0:59:34) Control Flow
⌨️ (1:19:34) Functions
⌨️ (1:46:05) Intro to Tabular Dataset
⌨️ (1:48:14) Importing the libraries for tabular dataset
⌨️ (1:51:44) Exploring the tabular dataset
⌨️ (2:08:55) Creating First Visualization with barplot matplotlib
⌨️ (2:12:48) Adding customization to barplot
⌨️ (2:31:26) Creating bargraph using Seaborn
⌨️ (2:39:54) Visusalizing outliers using boxplot
⌨️ (2:46:13) Introducing subplots using matplotlib
⌨️ (2:53:57) Line plots
⌨️ (3:05:04) Pair plot and scatter plot
⌨️ (3:16:25) Creating HR Diagram
⌨️ (3:49:18) Downloading visualizations
⌨️ (3:54:44) Understanding Images, pixels, grayscale and colors
⌨️ (4:07:44) What are FITS file?
⌨️ (4:11:24) Installing Astroquery
⌨️ (4:13:44) SkyView Form - Virtual Telescope
⌨️ (4:19:12) Visualize Andromeda galaxy
⌨️ (4:41:14) Creating FITS file and testing
⌨️ (4:52:19) Pixel Distribution
⌨️ (5:01:39) MinMax Pixel Scaling
⌨️ (5:12:30) Standard Scaling, Log Normalization, Square root normalization
⌨️ (5:22:34) ZScaleInterval
⌨️ (5:43:39) Convolution Operation - Why? Why? and Demonstration
⌨️ (5:50:13) Gaussian Denoising
⌨️ (6:02:21) Enhancing features with Meijering and Sato filter
⌨️ (6:11:12) Corner Foerstner - What and How to use it in Python
⌨️ (6:19:21) Multiscale Basic Features using skimage
⌨️ (6:30:02) Conclusion
🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama
--
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