Watch Learn Python NumPy - #1 Arrays & Data Types Video Tutorial

In this video we'll cover the basics of NumPy - How to create an array, what is a numpy array, How is a NumPy array different from a Python List, Why an array performs faster than a Python List. Footnote video #1 Python Lists for Beginners https://www.youtube.com/watch?v=Qexx6ed_598 Footnote Video #2 Python Data Types & Variables https://www.youtube.com/watch?v=bc4b8RqtW8k #Python #NumPy #LearnNumPyArrays Let me know your opinion on the footnote videos? Are they distracting or do you find they add value? If you have and questions or comments please let me know! Until next time. Thanks so much for the continued support! You guys are awesome. 1200+ Subscribers!! Your support means more than you know - Thank you!! ***************************************************************** Full code from this video: import numpy as np A = [1,2,3,4,5] B = [1.5,2.5,3.5] C = [1, 1.5, 2, 2.5, 3] print(type(C)) ArrayA = np.array(A, dtype=np.int32) ArrayB = np.array(B, dtype=np.float32) ArrayC = np.array(C) # bool, int, float, complex print(A) print(ArrayA) print(ArrayB) print(ArrayC) D = [[1,2],[3,4],[5,6],[7,8]] ArrayD = np.array(D, dtype=np.int32) print(ArrayD) print(ArrayD.shape) GitHub link for this script: https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/numpy_arrays.py ***************************************************************** 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!