Presents case studies and instructions on how to solve data analysis problems using Python, in a book that explains how to: use the IPython shell and Jupyter notebook for exploratory computing; learn basic and advanced NumPy (Numerical ...
You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python.
Another important thing that readers should know is that this book is aimed at beginners, but it accommodates intermediate and more advanced programmers. I assume three types of readers would be interested in this book.
The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies.
You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python.
This second edition offers instructions for manipulating, processing, cleaning, and crunching datasets in Python.
Presents case studies and instructions on how to solve data analysis problems using Python.
This guide provides the necessary knowledge in a practical way. You will learn the steps of Data Analysis, how to implement them in Python, and the most important applications in the real world. Would you like to know more?
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This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
... Python Wes McKinney, cofounder and chief technology officer of Voltron Data, is an active member of the Python data community and an advocate for Python use in data analysis, finance, and statistical computing applications. A graduate ...
You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python.
This book will give you answers to these and more questions as it shows you how easy data analysis work can be with a platform that has built in data analysis tools and features to do all the heavy lifting.
Even if this is the first time you're hearing about Data Analysis and Python, you can still successfully learn everything this book offers.
This book covers: - Introduction to Python and data analysis - Python basics - Python history - Installing Python - Data analysis with Python - NumPy for numerical data processing - Data visualization with Python - Machine learning with ...
This is will help you boost your business and make it competitive for years to come, on the other hand, if you are an IT professional, you will acquire new Python skills that will help you step up in your career.
In this book we start with an introduction to data analysis using catering system as an example. We always strive to give python code for the concepts book because they give a practical understanding of the topic.