Numpy Library for data science (All in one)

Numpy Library for data science (All in one)

Description

  • Are you ready for the Data Science career?
  • Do you want to learn the Python Numpy from Scratch? or
  • Are you an experienced Data scientist and looking to improve your skills with Numpy!

In both cases, you are at the right place! The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Numpy library will be the right choice for youto take part in this world and create your own opportunities,

Numpy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Numpy aims to provide an array object that is up to 50x faster than traditional Python lists. The array object in Numpy is called ndarray , it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science.

In this course, we will open the door of the Data Science world and will move deeper. You will learn Numpy step by step with hands-on examples. Most importantly in Data Science, you should know how to use effectively the Numpy library. Because this library is limitless

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