This book shows how to use Python for data analysis by exploring the different phases and methodologies used in data analysis and showing how to use modern libraries from the Python ecosystem to create efficient data pipelines. Avinash Navlani, Armando Fandango and Ivan Idris start with the essential statistical and data analysis fundamentals using Python. They go on to cover complex data analysis and modeling, data manipulation, data cleaning, and data visualization and also look at how to conduct time series analysis and signal processing using ARMA models.
Author: Avinash Navlani, Armando Fandango and Ivan Idris Publisher: Packt Date: February 2021 Pages: 478 ISBN: 978-1789955248 Print: 1789955246 Kindle: B0859CVGB4 Audience:Python developers Level: Intermediate Category: Python
- Explore data science and its various process models
- Perform data manipulation using NumPy and pandas for aggregating, cleaning, and handling missing values
- Create interactive visualizations using Matplotlib, Seaborn, and Bokeh
- Retrieve, process, and store data in a wide range of formats
- Understand data preprocessing and feature engineering using pandas and scikit-learn
- Perform time series analysis and signal processing using sunspot cycle data
- Analyze textual data and image data to perform advanced analysis
- Get up to speed with parallel computing using Dask
For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.
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The AWK Programming Language, 2nd Ed
Author: Alfred V. Aho, Brian W. Kernighan and Peter J. Weinberger Publisher: Addison-Wesley Pages: 240 ISBN: 978-0138269722 Print: 0138269726 Kindle: B0CCJ1N4X3 Audience: Developers interested in Awk Rating: 5 Reviewer: Kay Ewbank
The name Brian Kernighan among the authors of this updated classic raises [ ... ]
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Beginning Programming All-in-One For Dummies
Author: Wallace Wang Publisher: For Dummies Pages: 800 ISBN: 978-1119884408 Print: 1119884403 Kindle: B0B1BLY87B Audience: Novice programmers Rating: 3 Reviewer: Kay Ewbank
This is a collection of seven shorter books introducing key aspects of programming, but it fails through trying to cover too [ ... ]
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