Python for Data Analysis

A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython

• Author(s): Brady Ellison,
•    
• Pages: 149
• Language: en
• Categories: Computers / Languages / Python , Computers / Data Science / Data Analytics , Computers / Data Science / General , Computers / Data Science / Data Visualization , Computers / Data Science / Machine Learning , Computers / Data Science / Neural Networks , Computers / Optical Data Processing , Computers / Programming / Games , Computers / Programming / General , Computers / Programming / Object Oriented , Computers / Programming / Parallel , Juvenile Nonfiction / Computers / Coding & Programming , Young Adult Nonfiction / Computers / Coding & Programming , Computers / Programming / Microsoft , Computers / Artificial Intelligence / General , Computers / Artificial Intelligence / Natural Language Processing , Computers / Computer Architecture , Computers / Computer Engineering , Computers / General , Computers / Computer Science , Computers / Languages / General , Computers / Machine Theory , Young Adult Nonfiction / Computers / General , Computers / Programming / Open Source , Computers / System Administration / Backup & Recovery , Computers / Networking / General ,

Description:...

Ready to learn Data Science through Python language?

Python for Data Analysis is a step-by-step guide for beginners and dabblers-alike.

This book is designed to offer working knowledge of Python and data science and some of the tools required to apply that knowledge. It’s possible that you have little experience with or knowledge of data analysis and are interested in it. You might have some experience in coding. You may have worked with data before and want to use Python. We have made this book in a way that will be helpful to all these groups and more besides in varying ways. This can serve as an introduction to the most current tools and functions of those tools used by data scientists.

In this book You will learn:

Data Science/Analysis and its applications

IPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist’s ecosystem.

Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started.

NumPy - a powerful numerical library for Python. You will learn more about its advantages.

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