[ FreeCourseWeb.com ] Python : Data Analysis with NumPy Library
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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz Language: English | VTT | Size: 1.23 GB | Duration: 3h 23m What you'll learn You will understand that NumPy - Numerical Python is used for scientific computing and data analysis You will get clarity that NumPy uses n-dimensional, homogenous object (ndarray) NumPy are fast, use less memory, are convenient and use vectorized code (Code does not contain explicit looping and indexing etc) You will learn how to create array's in NumPy You will clearly understand the comparison between NumPy and standard python You will learn the structure of Arrays Indexing, Subsetting, Slicing and Iterating through Arrays Execution speed in NumPy and Standard Python Lists NumPy Arrays - Few Operations Basic mathematical operations/linear algebra operations/functions Playing with arrays using resize, reshape & stack creation
Requirements Basic experience with the Python programming language Strong knowledge of data types (strings, integers, floating points, booleans) etc Description The Ultimate NumPy Tutorial for Data Science Beginners:
What is the NumPy library in Python?
NumPy stands for Numerical Python and is one of the most useful scientific libraries in Python programming. It provides support for large multidimensional array objects and various tools to work with them. Various other libraries like Pandas, Matplotlib, and Scikit-learn are built on top of this amazing library.
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