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Working with NumPy Libraries | Essentials of Data Visualization using Python
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#uniathena #onlinelearning #flexiblelearning #shortcourses #python #dataanalytics #datavisualization
NumPy is a Python library that is extensively used for advanced computations and data analysis. NumPy arrays are much faster and more memory-efficient than typical Python arrays, which makes them an ideal choice for handling large and complex datasets. This video lecture on working with the numpy libraries will take you through the basics of how to create multidimensional arrays, perform mathematical operations on arrays, index arrays, and extract data from sub-arrays.It will throw light on the operational aspects of manipulating arrays, including indexing, slicing, joining, sorting, splitting, and performing iterations. Professionals seeking to break their careers in data analytics or existing professionals who work with numerical data to perform complex calculations will find this lecture insightful.
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NumPy is a Python library that is extensively used for advanced computations and data analysis. NumPy arrays are much faster and more memory-efficient than typical Python arrays, which makes them an ideal choice for handling large and complex datasets. This video lecture on working with the numpy libraries will take you through the basics of how to create multidimensional arrays, perform mathematical operations on arrays, index arrays, and extract data from sub-arrays.It will throw light on the operational aspects of manipulating arrays, including indexing, slicing, joining, sorting, splitting, and performing iterations. Professionals seeking to break their careers in data analytics or existing professionals who work with numerical data to perform complex calculations will find this lecture insightful.
To stay updated, please follow our Social Media Pages:
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