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[ 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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