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Elementas #:
267550043
Python Data Analysis
78% of respondents would recommend this to a friend
Elementas #:
267550043
€ 70
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Produkto Aprašymas
- Learn how to apply powerful data analysis techniques with popular open source Python modulesAbout This BookLearn how to find, manipulate, and analyze data using PythonPerform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python codeAn easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projectsWho This Book Is ForThis book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.In DetailPython is a multi-paradigm programming language well suited for both object-oriented application development as well as functional design patterns. Python has become the language of choice for data scientists for data analysis, visualization, and machine learning. It will give you velocity and promote high productivity.This book will teach novices about data analysis with Python in the broadest sense possible, covering everything from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling. It focuses on a plethora of open source Python modules such as NumPy, SciPy, matplotlib, pandas, IPython, Cython, scikit-learn, and NLTK. In later chapters, the book covers topics such as data visualization, signal processing, and time-series analysis, databases, predictive analytics and machine learning. This book will turn you into an ace data analyst in no time.
| Publisher | Packt Publishing |
| Publication date | October 28, 2014 |
| Language | English |
| Print length | 348 pages |
| ISBN-10 | 1783553359 |
| ISBN-13 | 978-1783553358 |
| Item Weight | 1.35 pounds (610 grams) |
| Dimensions | 7.5 x 0.79 x 9.25 inches (19.1 x 2 x 23.5 cm) |
PRODUKTO APRAŠYMAS
Python Data Analysis
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