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Explore Python Data Analysis and Visualization Course – Astronomical Data with 139,405 views, 3,901 likes, and 102 comments. Experience the impact of this video content that has captured audience attention.

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 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

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