Python Data Science: 3 Books in 1

Your Hands-On Guide to Data Analysis With Python Big data is an exciting field but how does one even begin to work with the permutations of data that is generated? There are a number of visualization tools Python provides you with but how do you squeeze the best out of it? Well, don't worry anymore! Python Data Science by author Travis Booth is going to walk you step by step through everything you need to know about this fascinating field. Whether you're a rank beginner or an expert looking for a challenging guide, this guide will have everything you need! Filled with tips and tricks about manipulating Python's vast visualization libraries along with expert advice on how to best approach this challenging subject, this is one guide you do not want to miss! Inside you will also learn all about Data manipulation and implications for statistics NumPy arrays and other manipulations Visualization techniques- beyond Matplotlib Regression models- linear and logistical Stemming and lemmatization and so much more!