NumPy

NumPy

NumPy is a Python library for scientific computing. It provides fast and efficient multidimensional arrays, as well as a large collection of mathematical functions. In this skill tree, you'll learn how to use NumPy to perform basic operations on arrays of data.

27 Skills|4 Courses|6 Projects
Quick Start with NumPy
Quick Start with NumPy
Quick Start with NumPy
Quick Start with NumPy
Beginner
NumPyPython
This course will teach you the fundamentals of NumPy, a library that supports many mathematical operations.
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15 Labs
Your First NumPy Lab
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Array Attributes and Dtype
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NumPy Arrays and Data Types
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NumPy in Space
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NumPy Array Datatype Converter
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NumPy Array Operations
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NumPy Array Operation
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NumPy Slicing and Indexing
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Array Indexing and Slicing
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Efficient NumPy Array Multiplication Operations
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NumPy Shape Manipulation
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Make NumPy Array Your Shape
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NumPy File IO
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NumPy Advanced Topics
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NumPy Math Games
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NumPy Practice Labs
NumPy Practice Labs
Beginner
NumPy
This course contains lots of labs for NumPy, each lab is a small NumPy project with detailed guidance and solutions. You can practice your NumPy skills by completing these labs, improve your coding skills, and learn how to write clean and efficient code.
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Lab
NumPy Practice Challenges
NumPy Practice Challenges
Beginner
NumPy
This course contains lots of challenges for NumPy, each challenge is a small NumPy project with detailed instructions and solutions. You can practice your NumPy skills by solving these challenges, improve your problem-solving skills, and learn how to write clean and efficient code.
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Lab
100 NumPy Exercises
100 NumPy Exercises
Intermediate
NumPy
NumPy is an extension library for Python language, supporting operations of a large number of high-dimensional arrays and matrices. In addition, it also provides a large number of mathematical function libraries for array operations. Machine learning involves a lot of transformations and operations on arrays, which makes NumPy one of the essential tools.
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Lab
Unlock Your NumPy Skills
Completed 0
Locked 27