Original PDF Ebook – Python Data Analysis – Second Edition2nd Edition – 9781787127487
Learn how to apply powerful data analysis techniques with popular open source Python modules_x000D_About This Book_x000D_
Find, manipulate, and analyze your data using the Python 3.5 libraries_x000D_
Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code_x000D_
An easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects._x000D_
Who This Book Is For_x000D_
This book is for programmers, scientists, and engineers who have the knowledge of Python and know the basics of data science. It is for those who wish to learn different data analysis methods using Python 3.5 and its libraries. This book contains all the basic ingredients you need to become an expert data analyst._x000D_
What You Will Learn_x000D_
Install open source Python modules such NumPy, SciPy, Pandas, stasmodels, scikit-learn,theano, keras, and tensorflow on various platforms_x000D_
Prepare and clean your data, and use it for exploratory analysis_x000D_
Manipulate your data with Pandas_x000D_
Retrieve and store your data from RDBMS, NoSQL, and distributed filesystems such as HDFS and HDF5_x000D_
Visualize your data with open source libraries such as matplotlib, bokeh, and plotly_x000D_
Learn about various machine learning methods such as supervised, unsupervised, probabilistic, and Bayesian_x000D_
Understand signal processing and time series data analysis_x000D_
Get to grips with graph processing and social network analysis
Reviews
There are no reviews yet.