Working with Multidimensional Data Using NumPy

سرفصل های دوره

As working with huge numeric datasets becomes the norm, using the right tools and libraries to work with the data becomes very important. NumPy allows data analysts and data scientists to work with multi-dimensional data to solve these problems.

1. Course Overview

1. Course Overview

2. Exploring Multidimensional Data Using NumPy

01. Version Check

02. Module Overview

03. Prerequisites and Course Overview

04. Creating Arrays

05. Printing Arrays

06. Basic Array Operations

07. Universal Functions

08. Indexing and Slicing Arrays

09. Iterating Over Arrays

10. Reshaping Arrays

11. Splitting Arrays Horizontally and Vertically

12. Image Manipulation

13. Shallow Copies Using View

14. Deep Copies Using Copy

3. Complex Indexing Using NumPy

01. Module Overview

02. Indexing Arrays Using Arrays

03. Fancy Indexing with GDP Data

04. Indexing with Boolean Arrays

05. Arrays with Structured Data

06. Broadcasting

07. Broadcasting Scalars and Arrays

08. Automatic Reshaping

09. Stacking Arrays

10. Histograms

11. Miscellaneous Operations

4. Leveraging Other Python Libraries with NumPy

1. Module Overview

2. Working with Pandas

3. Working with SciPy

4. Vectorization

5. Summary and Further Study

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تولید کننده: PluralSight