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- Level: Intermediate
- Duration: 01h 25m
- Release date: 2021-11-29
- Author: Terezija Semenski
- Provider: LinkedIn
NumPy Essential Training: 1 Foundations of NumPy
Description
Content
NumPy provides Python with an elegant syntax and powerful array processing library. NumPy is the most useful and most powerful library in Python when it comes to data science and machine learning. In this course, Terezija Semenski introduces the NumPy data structure for n-dimensional arrays, then continues by showing functions for creating and manipulating arrays, including indexing and slicing for extracting elements from arrays. She also details how to find unique elements and reverse an array, and describes functions and operators for performing computations with ndarray objects and functions for math and statistics.
- Introduction03m 30s
- Introduction01m 02s
- What you should know02m 28s
- 1. NumPy Overview and Introduction to Jupyter Notebook08m 56s
- Why should you use NumPy?02m 08s
- Python lists vs. NumPy arrays03m 19s
- Jupyter Notebook basics03m 29s
- 2. NumPy Array Types and Creating NumPy Arrays24m 12s
- Array types and conversions between types04m 25s
- Multidimensional arrays03m 07s
- Creating arrays from lists and other Python structures03m 36s
- Intrinsic NumPy array creation05m 33s
- Creating arrays filled with constant values04m 41s
- Finding the shape and size of an array02m 50s
- 3. Manipulate NumPy Arrays26m 02s
- Adding, removing, and sorting elements03m 23s
- Copies and views04m 32s
- Reshaping arrays05m 37s
- Indexing and slicing05m 43s
- Joining and splitting arrays06m 47s
- 4. Functions and Operations22m 19s
- Arithmetic operations and functions04m 01s
- Broadcasting04m 21s
- Aggregate functions04m 03s
- How to get unique items and counts03m 20s
- Transpose like operations03m 49s
- Reversing an array02m 45s
- Conclusion00m 49s
- Next steps00m 49s
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