Publisher's Synopsis
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Then this book is perfect for your costumers will never stop to use this awesome guide!
You don't need a costly computer science degree, a genius mind, and a 1000-page textbook to learn Python's basics for Data Analysis.
This book, PYTHON FOR DATA ANALYSIS: A PRACTICAL GUIDE TO MANIPULATING, PROCESSING, CLEANING, AND CRUNCHING DATA SETS IN PYTHON. HOW TO EFFECTIVELY SOLVE A WIDE RANGE OF DATA ANALYSIS PROBLEMS, is a concise, step-by-step guide to Python for Data Analysis.
Many books about Pythons are theoretical and have little to no practical examples. This manual offers a plethora of simple illustrations and examples to underline core concepts and enhance your understanding. Loads of practice exercises are provided to make you learn fast, remember, and build a thorough understanding of the key concepts.
Are you ready to find out more?
Here's a short preview of what you will learn inside this book:
- Why Python for data analysis?
- Data analysis bases
- Python libraries and installation
- Python language basics, ipython and jupyter notebooks
- Built-in data structures, functions, and files
- Introduction to modeling libraries in Python
...And so much more!
This book will offer you a comprehensive explanation of Python for data analysis while not overpowering you with loads of information. Compared to other books, the examples' outputs are given, so you don't need to wait.
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