NumPy

Learn NumPy

Learn NumPy, the foundation of scientific computing in Python, with a structured learning path designed for beginners. This collection of hands-on NumPy courses provides a systematic way to master array operations, broadcasting, and numerical algorithms. Through practical exercises in a numerical analysis playground, develop real-world skills in efficient data manipulation and computation. This roadmap is ideal for anyone starting their journey in data science.

23 Skills|3 Courses|6 Projects
NumPy for Beginners
NumPy for Beginners

NumPy Courses

NumPy for Beginners

NumPy for Beginners

Beginner
NumPyPython
This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.
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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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Completed 0 of 15 Labs
100 NumPy Exercises

100 NumPy Exercises

Beginner
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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Completed 0 of 1 Lab

NumPy Projects

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User Reviews
" This is an exciting platform to learn practically and theoretically"
— Naresh Charak
" This seems like a fun way to learn to code kinda like w3 schools but with less text and also more interactivity"
— DAVID DIVVID