PDF Ebook Mastering Pandas, by Femi Anthony
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Mastering Pandas, by Femi Anthony
PDF Ebook Mastering Pandas, by Femi Anthony
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Master the features and capabilities of pandas, a data analysis toolkit for Python
About This Book- Master and optimally utilize the capabilities of Pandas for data analysis using IPython a rich interactive environment for Python
- Understand data visualization by plotting data with matplotlib
- Learn predictive analytics and machine learning using pandas and scikit-learn in a pragmatic manner
This book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth.
What You Will Learn- Download, install, and set up Python, pandas, and related tools to perform data analysis for different operating environments
- Practice using IPython as an interactive environment for doing data analysis using pandas
- Master the core features of pandas used in data analysis
- Get to grips with the more advanced features of pandas
- Understand the basics of using matplotlib to plot data analysis results
- Analyze real-world datasets using pandas
- Acquire knowledge of using pandas for basic statistical analysis
Python is a ground breaking language for its simplicity and succinctness, allowing the user to achieve a great deal with a few lines of code, especially compared to other programming languages. The pandas brings these features of Python into the data analysis realm, by providing expressiveness, simplicity, and powerful capabilities for the task of data analysis. By mastering pandas, users will be able to do complex data analysis in a short period of time, as well as illustrate their findings using the rich visualization capabilities of related tools such as IPython and matplotlib.
This book is an in-depth guide to the use of pandas for data analysis, for either the seasoned data analysis practitioner or the novice user. It provides a basic introduction to the pandas framework, and takes users through the installation of the library and the IPython interactive environment. Thereafter, you will learn basic as well as advanced features, such as MultiIndexing, modifying data structures, and sampling data, which provide powerful capabilities for data analysis.
- Sales Rank: #2123786 in Books
- Published on: 2015-06-22
- Released on: 2015-06-22
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .82" w x 7.50" l, 1.38 pounds
- Binding: Paperback
- 352 pages
About the Author
Femi Anthony
Femi Anthony is a seasoned and knowledgeable software programmer, with over 15 years experience in a vast array of languages, including Perl, C, C++, Java, and Python. He has worked in both the Internet space and financial services space for many years and is now working for a well-known financial data company. He holds a bachelor's degree in mathematics with computer science from MIT and a master's degree from the University of Pennsylvania. His pet interests include data science, machine learning, and Python. Femi is working on a few side projects in these areas. His hobbies include reading, soccer, and road cycling. You can follow him at @dataphanatik, and for any queries, contact him at femibyte@gmail.com.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Solid Read
By tb
Femi's book is well organized, succinct, and easy to read. I love that he teaches both the theory as well as the python methodology. As someone with a math and programming background, I did notice some slight errors. However, nothing that detracted from the overall merit of the book. Definitely a solid read for someone trying to get into data science!
4 of 4 people found the following review helpful.
Great reference tool
By Anna
This book is brilliantly done. I own and have used quite a few Pandas for 'x', Python for 'x' titles that go through the basics of the tool, but leave the reader without a clear understanding of the theoretical basis. Mastering Pandas, however, provides the all the necessary context. I used it to level up my skillset quickly while taking a data science course, and I found it invaluable. R users will be delighted to find that there are detailed comparisons between R and Pandas--you can port your knowledge quickly from one context to the other. I gave Mastering Pandas 5 stars because I find that while working, I tend to have it open to use as a quick reference tool.
2 of 2 people found the following review helpful.
Highly Recommended
By Zeeshan
Femi brings his years of development experience with innate passion for programming to life with this book. A reader would truly enjoy learning from examples Femi is passionate about. This book is great for beginners and more experienced programmers alike. You should buy this book if you want to get started with data analysis using helpful tools Python programming language provides. Femi's also very helpful if you ever want to reach out to him. Hope this helps!
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