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Learn NumPy with 100+ hands-on live running coding examples and exercises
Updated on Sep, 2026
Programming, Data Science, Python
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Welcome to the NumPy Tutorial for Beginners by Studyopedia.
NumPy is an open-source Python library, that allows you to work with multi-dimensional arrays and matrices, with the mathematical functions operating on these arrays. It stands for Numerical Python and is written in Python and C. It is a Python library for numeric and scientific computing. It consists of multi-dimensional array objects. It is faster with less LOC.
Numpy allows you to perform various operations on Arrays, including
Array Arithmetic Operations
Array Statistical Operations
Installing NumPy with pip
Dimensions in NumPy Arrays
Initialize NumPy Arrays
NumPy Array Indexing
Reshape a NumPy array
Iterate NumPy Arrays
Joining NumPy Arrays
Search an Array for a value
Sorting NumPy Arrays
Axes in NumPy arrays
Intersection of NumPy Arrays
Difference between NumPy arrays
Arithmetic Operations on NumPy arrays
Scalar operations on NumPy arrays
Statistical Operations on NumPy arrays
Random module in NumPy
100+ live coding examples are covered to make each lesson easier for the students.
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