Python For Data Analysis 2nd Edition (PDF) is the highly recommended book for the following reasons:
-This book has been written by Wes McKinney, who is the creator of the Pandas library.
-The author has explained all the concepts in a very simple language making it easy for anyone to understand.
-One of the best things about this book is that it covers everything from basic to advanced topics.
-This book is also available in paperback format which makes it easier for students who want to carry it around on their way home from school or work.
Python For Data Analysis 2nd Edition Pdf Download is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. 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.
About The Book Python For Data Analysis 2nd Edition Pdf Free Download
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the Python For Data Analysis 2nd Edition Wes Mckinney Pdf is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. In this python for data analysis pdf 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.
Data is the future. Businesses, governments, organizations, criminals—everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. 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. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.
Written by Wes McKinney, the main author of the pandas library, this Python For Data Analysis 2nd Edition Wes Mckinney Pdf is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing. A simple language has been used. Many examples have been given, both theoretically and programmatically. Screenshots showing program outputs have been added.
- Use the IPython interactive shell as your primary development environment
- Learn basic and advanced NumPy (Numerical Python) features
- Get started with data analysis tools in the pandas library
- Use high-performance tools to load, clean, transform, merge, and reshape data
- Create scatter plots and static or interactive visualizations with matplotlib
- Apply the pandas groupby facility to slice, dice, and summarize datasets
- Measure data by points in time, whether it’s specific instances, fixed periods, or intervals
- Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples
Table Of Contents
- New for the Second Edition
- Conventions Used in This Book
- Using Code Examples
- O’Reilly Safari
- How to Contact Us
- In Memoriam: John D. Hunter (1968–2012)
- Acknowledgments for the Second Edition (2017)
- Acknowledgments for the First Edition (2012)
- B.6 Conclusion
About The Author Python For Data Analysis 2nd Edition Wes Mckinney Pdf Free Download
Wes McKinney is a New York? based software developer and entrepreneur. After finishing his undergraduate degree in mathematics at MIT in 2007, he went on to do quantitative finance work at AQR Capital Management in Greenwich, CT. Frustrated by cumbersome data analysis tools, he learned Python and started building what would later become the pandas project. He’s now an active member of the Python data community and is an advocate for the use of Python in data analysis, finance, and statistical computing applications.
Wes was later the co-founder and CEO of Data Pad, whose technology assets and team were acquired by Cloudera in 2014. He has since become involved in big data technology, joining the Project Management Committees for the Apache Arrow and Apache Parquet projects in the Apache Software Foundation. In 2016, he joined Two Sigma Investments in New York City, where he continues working to make data analysis faster and easier through open source software.