Python for Data Science: 2 Books in 1. A Practical Beginner’s Guide to learn Python Programming, introducing into Data Analytics, Machine learning, Web Development, with Hands-on Projects

THOMPSON, ERICK

ISBN 13: 9798554509728

Edité par Independently published, 2020

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Print on Demand. N° de réf. du vendeur I-9798554509728

Détails bibliographiques

Titre : Python for Data Science: 2 Books in 1. A ...

Éditeur : Independently published

Date d'édition : 2020

Reliure : Couverture souple

Etat : New

A propos de ce titre

Synopsis :

Are you looking for a crash course that will help you learn Python? Do you want to master data science using python? If yes, then keep reading!

Python is one of the most popular programming languages in the word in 2020 and specially for data science. Every day people use it to do cool things like Automation, they use it in Artificial Intelligence, Machine Learning, as well as Building Applications and Websites like Instagram and Dropbox. YouTube, Pinterest, and SurveyMonkey are all built on Python. So if you are looking for a trendy job, like data scientist, Python is for you.

This is a Python guide with 2 Books in 1:

• Python crash course
• Python for data analysis

Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language.

Moreover, data analysis plays a significant job in numerous parts of your regular day to day existence today. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best framework with regards to information examination.

Data Scientist is the most requested job of the 21^st century and Python is the most popular programming language of the 21^st century. So it’s pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry.

You needn't bother with an exhausting and costly reading material. This guide is the best one for every readers.

This guide covers:

• The world of data science technologies
• Application of machine learning
• Data scientist: the sexiest job in the 21^st century
• Learning Python from scratch
• Data analysis with Python                     
• NumPy for numerical data processing                   
• Data visualization with Python       
• Projects on Python

And much more! 

Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data, and Python is also the go-to choice for the creation of machine learning models and artificial intelligence.

Be it machine learning, data analytics, data processing, web development, enterprise software development or taking the photo of Blackhole: Python is everywhere. Beloved by the data scientists and new generation developers, Pyhton will eat the word!

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