Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython (Programming Languages for Beginners)
Product ID: 365060132
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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. Get your copy now Review: Great Book for Quick Overview and some detail - The book delivers what's promised - a beginner/intermediate overview of some of the Python libraries for working with data. Multiple examples illustrate the methods and what you can do with them. Exactly what I wanted. Review: Disappointing - Looks like a self-published book which is OK, but was not very well organized and the descriptions were often rambling and incomplete. A few useful sections, but overall disappointing.
| Best Sellers Rank | #1,555,169 in Books ( See Top 100 in Books ) #609 in Natural Language Processing (Books) #1,096 in Introductory & Beginning Programming #12,997 in Computer Science (Books) |
| Customer Reviews | 4.1 out of 5 stars 39 Reviews |
J**O
Great Book for Quick Overview and some detail
The book delivers what's promised - a beginner/intermediate overview of some of the Python libraries for working with data. Multiple examples illustrate the methods and what you can do with them. Exactly what I wanted.
A**R
Disappointing
Looks like a self-published book which is OK, but was not very well organized and the descriptions were often rambling and incomplete. A few useful sections, but overall disappointing.
P**N
Missing Important topics
It lacks important content. Just don’t go by the book cover. The tables should be Improved for visibility also lacks basic formatting
M**E
Formulas return error prompts
I have previous experience with Python. I've bought python books before but wanted to see how useful it was for data analysis. This looked like a good buy. DO NOT, buy this book. 65 pages in, I spend half my time looking up commands on StackOverflow. There explanations of the commands you are learning is poor at best. It's $10 dollars for a reason. Look somewhere else if you want to take your first step in data analysis using Python.
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