This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
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- A strict βLearn by Doingβ approach with exclusive hands-on labs and no videos.
- Interactive online environments within the browser, with automated step-by-step checks.
- A structured content organization with the Skill Tree based learning system.
- A growing learning resource of 30 Skill Trees and over 6,000 Labs.
- The AI learning assistant Labby, built on ChatGPT, providing a conversational learning experience.
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| Index | Name | Difficulty | Practice |
|---|---|---|---|
| 01 | π Your First NumPy Lab | β ββ | Start Lab |
| 02 | π Array Attributes and Dtype | β ββ | Start Lab |
| 03 | π NumPy Arrays and Data Types | β ββ | Start Lab |
| 04 | π― NumPy in Space | β ββ | Start Challenge |
| 05 | π― NumPy Array Datatype Converter | β ββ | Start Challenge |
| 06 | π NumPy Array Operations | β ββ | Start Lab |
| 07 | π― NumPy Array Operation | β ββ | Start Challenge |
| 08 | π NumPy Slicing and Indexing | β ββ | Start Lab |
| 09 | π― Array Indexing and Slicing | β β β | Start Challenge |
| 10 | π Efficient NumPy Array Multiplication Operations | β ββ | Start Lab |
| 11 | π NumPy Shape Manipulation | β ββ | Start Lab |
| 12 | π― Make NumPy Array Your Shape | β ββ | Start Challenge |
| 13 | π NumPy File IO | β ββ | Start Lab |
| 14 | π NumPy Advanced Topics | β ββ | Start Lab |
| 15 | π― NumPy Math Games | β ββ | Start Challenge |

