Watch Learn Python NumPy - #2 Indexing Video Tutorial


Tutorial Details & Info

Tutorial Title: Learn Python NumPy - #2 Indexing
Instructor / Channel: Derrick Sherrill
Lesson Runtime: 05:49 Minutes
Publish Date: May 14, 2019
Total Students / Views: 1,658 views

Follow step-by-step with Learn Python NumPy - #2 Indexing instructor Derrick Sherrill. This full video course has a total duration of 05:49 minutes with detailed practical demonstrations. Watch this video tutorial for free on any desktop PC, Mac, tablet, or smartphone.

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Course Description & Lesson Notes

Official Video Description:

Learn Python NumPy Tutorial series video #2. In this one we'll cover: - Indexing 1D NumPy Arrays - Indexing 2D NumPy Arrays - Slicing multiple variables out from an array #Python #NumPy #Tutorial THANKS SO MUCH FOR ALL THE CONTINUED SUPPORT! (1450+ SUBSCRIBERS!) Thank you all. Your support is really appreciated. Please let me know comments or suggestions for the videos. Your feedback, both positive and negative, makes the future videos better! Until next time! ***************************************************************** Code on GitHub: https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/Numpy_indexing.py Full code from this video: import numpy as np ListA = [0,1,2,3,4,5,6,7,8,9,10] ListB = [11,12,13,14,15,16,17,18,19,20,21] A = np.array(ListA, dtype=np.int32) print(A) # A[start:stop:step] print(A[::1]) ListC = [ListA,ListB] AB = np.array(ListC, dtype=np.int32) print(AB.shape) print(AB[1,2:4:1]) print(A[np.array([0,0,0,0,1,2,3])]) ***************************************************************** Code from this tutorial and all my others can be found on my GitHub: https://github.com/Derrick-Sherrill/DerrickSherrill.com Check out my website: https://www.derricksherrill.com/ If you liked the video - please hit the like button. It means more than you know. Thanks for watching!! Useful Links ----------------------------------------------------------------------------------------------------------------- Python Download: https://www.python.org/downloads/ (Remember Python 3 is the future!) I use Atom Text Editor for all my tutorials Atom Text Editor: https://atom.io/ Packages I often use in Python tutorials: -Pandas https://pandas.pydata.org/pandas-docs/stable/ -Numpy https://www.numpy.org/ -xlrd https://xlrd.readthedocs.io/en/latest/ -TensorFlow https://www.tensorflow.org/api_docs/python -Matplotlib https://matplotlib.org/ -Django Framework https://www.djangoproject.com/ -Beautiful Soup https://www.crummy.com/software/BeautifulSoup/ (Install through Terminal $pip3 install ....) Other Useful Services sometimes featured: -Amazon Web Services (AWS) https://aws.amazon.com/ -Microsoft Azure https://azure.microsoft.com/en-us/ -Google Cloud https://cloud.google.com/ -Juypter Notebooks https://jupyter.org/ Always looking for suggestions on what video to make next -- leave me a comment with your project! Happy Coding!

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Learn Python NumPy - #2 Indexing taught by Derrick Sherrill. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Learn Python NumPy - #2 Indexing.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Derrick Sherrill with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

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No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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