NumPy Library
The Ultimate NumPy Tutorial for Data Science Beginners
What you’ll learn
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You will understand that NumPy – Numerical Python is used for scientific computing and data analysis
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You will get clarity that NumPy uses n-dimensional, homogenous object (ndarray)
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NumPy are fast, use less memory, are convenient and use vectorized code (Code does not contain explicit looping and indexing etc)
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You will learn how to create array’s in NumPy
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You will clearly understand the comparison between NumPy and standard python
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You will learn the structure of Arrays
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Indexing, Subsetting, Slicing and Iterating through Arrays
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Execution speed in NumPy and Standard Python Lists
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NumPy Arrays – Few Operations
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Basic mathematical operations/linear algebra operations/functions
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Playing with arrays using resize, reshape & stack creation
Requirements
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Basic experience with the Python programming language
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Strong knowledge of data types (strings, integers, floating points, booleans) etc
Who this course is for:
- Data analysts and business analysts
- Excel users looking to learn a more powerful software for data analysis
