Python for data science: A practical guide to master python programming and system administration. Discover the essentials of machine learning and artificial intelligent using python code

by Cooper Turner

When it comes to the locations and sources where a business can collect data there are quite a few options that are open to the business. Many businesses will hire data scientists to help them collect information from sources like social media, sensors, digital videos, and pictures, purchased transactions that they get from their customers and even from surveys that the customers may have taken.    Python is a well-known, high-level object-oriented programming language that is used by many software designers and data scientists across the globe. Python's syntax is simple and short. It is an open-source and versatile language that supports a large standard library. In the contemporary world, every business is focused on data security, management, and utility. All the renowned companies are playing with data through complex Python algorithms to store, manipulate, and process data to get useful information and to use it materially to benefit the business. Have you ever thought about Facebook pixels to re-target you on your profile page with the same product you viewed on an e-commerce website? Or Google's recommendations based on a place you visited previously? Nowadays, Android Speech Recognition and Apple Siri understand your speech signals with accuracy and respond to you accordingly. In all these high-tech products, there are algorithms and complex codes of machine language structured by Python. In this guide, you will have a privilege to learn about the There is so much that we are able to do when it comes to working with data science and all of the information that comes in our data.

157 pages, Paperback

Published February 14, 2020

Reviews

[Carrie · Rating 4 out of 5]

Very informative

I give it 4 stars. The book was very informative. I would recommend to students with an interest in this field.