This is the beginner Python NumPy exercises #3 and in this video, we walk through array attributes and accessing single elements in NumPy using array indexing using the NumPy library with python. This video follows the lectures ( • Useful Array Attributes of NumPy - Complet... and • NumPy Array Index to Access Single Element... ) so I suggest you watch the lectures first, then try to do exercises on your own before watching this video for the solutions. All python notebooks and links to the lecture video are above.
We start with simple exercises that cover NumPy array attributes like dtype and shape. We then move onto exercises of NumPy indexing and retrieving single elements using index syntax specific to NumPy.
Let me know if you have any questions and please offer feedback on how I can improve to help you better.
If you enjoyed this video, please throw in a like and subscribe to my channel. I’ll be posting a lot more videos on data science concepts that cover all things python and SQL.
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Watch the lecture before going through these practice exercises with me: • Useful Array Attributes of NumPy - Complet... and • NumPy Array Index to Access Single Element...
Follow along interactively with the python notebooks in this video!
Python notebook WITHOUT solutions used in the video: https://bit.ly/3dASHZM
Python notebook WITH solutions used in the video: https://bit.ly/3dMXnf5
Here’s help on how to run a python notebook using Google Colabs: https://bit.ly/2YXKR8o
Much of the content was adapted from the book and GitHub of Jake VanderPlas’s Python Data Science Handbook: https://jakevdp.github.io/PythonDataS...
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