Python Data Science: The Ultimate Guide on What You Need to Know to Work with Data Using Python

Explore the ultimate guide for Python data science and learn how to work with data the easy way.

Are you a novice or experienced programmer, and you’re looking for a deep-dive into the world of data science? Do you want to uncover the best ways to handle data using Python? Or are you in need of step-by-step advice to help you wrap your head around data sets, data wrangling and more? Then keep reading…

As a favorite of programmers across the globe, Python offers a powerful and practical solution for all of your data science needs. But with so much advice out there and so many confusing approaches, how can you find a down-to-earth, beginner’s introduction to this essential skill?

Breaking down the details of Python data science, this ultimate guide reveals how you can kickstart your skills as a programmer and benefit from the wide range of tools and libraries which Python offers you. From data aggregation and machine learning to how you can collect and manipulate data, this brilliant handbook arms you with the must-have knowledge for becoming a data science pro.

Here’s just a little of what you’ll find inside:

Why YOU Should Be Using Python For Data Science
A Simple Beginner’s Examination of The Basics of Using Python
The Amazing Ways The NumPy Library Can Help You With Data Science
How To Collect, Manipulate, Clean and Prepare Your Data
Practical Steps For Data Wrangling
Surprisingly Simple Ways To Visualize Your Data and Draw Meaningful Conclusions
And So Much More!

With bonus advice on machine learning, practical examples of Python data science in action, as well as how you can benefit from extra libraries including IPython, Jupyter, Scikit-Learn and TensorFlow, now even a complete beginner can begin their journey with Python and become a data scientist in no time.