Python Data Science Handbook: Essential Tools for Working with Data
(By Jake VanderPlas)
Read Ebook | Size | 26 MB (26,085 KB) |
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| Downloaded | 654 times |
| Last checked | 13 Hour ago! |
| Author | Jake VanderPlas |
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.
With this handbook, you’ll learn how to use:
* IPython and Jupyter: provide computational environments for data scientists using Python
* NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python
* Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python
* Matplotlib: includes capabilities for a flexible range of data visualizations in Python
* Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms”
