First step towards Python's Numpy Library
Sub Category
- Programming Languages
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Objectives
- Python Numpy Library from Scratch
- Numpy Arrays - 1D, 2D, 3D, Zeros, Ones, Full Arrays etc
- Numpy Functions - Random, Linspace, Empty, Eye, Identity, Transpose, Diagonal Function etc
- Indexing in Numpy Arrays
- You can download each lecture video and source codes files
Pre Requisites
- Basic Python Programming knowledge, that you already have
- You can use any one of these - Jupyter Notebook or PyCharm or Google Colab etc.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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