Python Programming for Data Analysis
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Fulfillment optionsPython Programming for Data Analysis
After developing the key Python language features, the book moves on to third-party modules that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array data structures and memory usage. Then, the author moves onto Pandas and details its many features for data processing and alignment. Because strong visualizations are important for communicating data analysis, key modules such as Matplotlib are developed in detail, along with web-based options such as Bokeh, Holoviews, Altair, and Plotly.
The text is sprinkled with many tricks-of-the-trade that help avoid common pitfalls. The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.To get the most out of this book, open a Python interpreter and type along with the many code samples.
Details
- Publisher
- Springer International Publishing
- Author
- José Unpingco
- Format
- Paperback
- Published
- May 6, 2022
- ISBN-13
- 9783030689544
- Pages
- 263
- Printing
- Printed on demand
Python Programming for Data Analysis for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $52.79 | 12% off list |
| 50 – 99 | $52.19 | 13% off list |
| 100+ | $51.59 | 14% off list |
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