NumPy Tutorial for Data Science
Learn about NumPy for Data Science. You'll learn: Convert Array to NumPy Array, NumPy Array, Indexing and Comparison, Selection and Copy, Mathematical Functions and Operations, Input and Output operations.
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Learn about NumPy for Data Science. You'll learn: Convert Array to NumPy Array, NumPy Array, Indexing and Comparison, Selection and Copy, Mathematical Functions and Operations, Input and Output operations.
Data Science is one of the most trending fields in Computer Science and it is expected to grow exponentially in the coming years.
NumPy is one of the most used Python libraries in the field of Data Science.
In this course, we would slide through the various functions and properties that the Numpy library has to offer us. The primary things that we are going to learn are :
Converting Simple Array to NumPy Array.
Generate a NumPy Array.
Methods used NumPyArrays.
Indexing and Comparison.
Selection and Copy.
Mathematical Functions and Operations.
Input and Output operations.
By the end of this course, you would be able to use the NumPy library with ease and perform various computing operations.
What you’ll learn
You will learn about one of the most widely used Python libraries namely NumPy.
I will teach everything right from the basics to advance level.
Are there any course requirements or prerequisites?
A fundamental knowledge of Python can be helpful.
But as such there are no prerequisites required .
Who this course is for:
Beginner developers who are interested in Python and want to specialize in the field of Data Science.
#NumPy #DataScience #Morioh #Python
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