Python for Data Analysis: A Complete Step By Step From Intermediate to Advanced Guide for Python Coding, NumPy, Pandas for Data Analysis. Improve Your Skills Quickly by Log Dany

Author:Log, Dany [Log, Dany]
Language: eng
Format: epub
Published: 2020-01-19T16:00:00+00:00

Understanding More About NumPy

You will quickly find that outside of the standard Python library. The NumPy library is going to be one of the most used libraries in Python. Data science techniques and algorithms of all kinds are going to need work to be done by the matrices, large size arrays, and lots of numerical computation in order to look through their data and learn what is there. And NumPy is going to be able to take on this job in a seamless manner.

This library is really basic, but it is still going to be important when it comes to handling some of the scientific computing that we want to do with Python. Plus, it will not take that long working with data science and data analysis before you find that this is going to be the library that other data analysis libraries are going to be dependent on.

Some of the other major libraries are going to be dependent on the arrays in NumPy as their inputs and outputs. In addition to this, it is also going to provide some functions that are going to allow developers a way for developers to perform all of the basic and the advanced functions that they would like, whether we are talking about statistics or mathematics, especially when we are dealing with multi-dimensional arrays and matrices, without needing to use as many lines of codes to get it all done.

When we compare these arrays with the lists that we talked about earlier with Python, you will find that the arrays are going to be much faster. But Python lists do have an advantage over the arrays because they are more flexible as you are only able to store the same data type in each column when we are working with the arrays.

There are a few features that you are going to enjoy when it is time to work with the NumPy library. Some of the main features that you will enjoy the most will include:

The NumPy library is going to be a combination of Python and C language,

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