Introduction to Numpy
Learn the basics of Numeric Python package used by all the Data Scientists.
About the course
NumPy is a Python library that stands for 'Numeric Python' or 'Numerical Python'. It is one of the very first libraries in Python that will effectively make your numerical computations easy and efficient.
Numpy contains all the necessary Mathematical and Logical operations that you can use while building models for your Data Science computations including-
Fourier transforms and routines for shape manipulation.
Operations related to linear algebra, random number generations and many more.
What will you learn
This course will teach you all the basics and fundamental of Numpy libraries and functions, manipulating arrays and many more.
Learning Numpy will help you handle elements and data in Python by allowing you to have powerful data structures, implementing multi-dimensional arrays and matrices while solving your Data Science problems.
At the end of this course, you will know the following things:
Arrays, Vectors and Matrices
Importing NumPy Library
Differentiate Python list and NumPy array
Create basic NumPy arrays and get attributes of an array
Adding and removing elements from an array
Reshaping an array
Indexing and Slicing an array
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