Data analysis with python : introducing numPy, pandas, matplotlib, and essential elements of python programming /
by Rituraj Dixit
- London : BPB Publications, 2023
- 1 online resource (278, pages) : color illustrations.
https://portal.igpublish.com/iglibrary/ is required to read this e-book.
Includes index
1. Introducing python -- 2. Environment setup for development -- 3. Operators and built-in data types -- 4. Conditional expressions in python -- 5. Loops in python -- 6. Functions and modules in python -- 7. Working with files I/O in python -- 8. Introducing data analysis -- 9. Introducing pandas -- 10. Introduction to NumPy -- 11. Introduction to Matplotlib --12. Connecting dots – step-by-step data analysis and hands-on use case
In an effort to provide content for beginners, the book ‘Data Analysis with Python’ provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.
Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.
Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python's built-in data analysis capabilities.
9789355511034 (e-book)
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