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Data analysis with python : introducing numPy, pandas, matplotlib, and essential elements of python programming / by Rituraj Dixit

By: Material type: Computer fileComputer fileLanguage: English Publication details: London : BPB Publications, 2023Description: 1 online resource (278, pages) : color illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789355511034 (e-book)
Subject(s): LOC classification:
  • QA76.9  D64 2023
Online resources:
Contents:
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
Summary: 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.
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Holdings
Item type Current library Collection Call number Materials specified Status Notes Date due Barcode
Online E-Books Online E-Books Ladislao N. Diwa Memorial Library Multimedia Section Non-fiction OEBP QA76.9 D64 2023 (Browse shelf(Opens below)) Available PAV OEBP000440
Compact Discs Compact Discs Ladislao N. Diwa Memorial Library Multimedia Section Non-fiction EB QA76.9 D64 2023 (Browse shelf(Opens below)) Room use only PAV CD0001369

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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.

Fund 164 CE-Logic Purchased February 19, 2024 OEBP000440
P. Roderno PHP 1,938.00
2024-02-0124 2024-1-113

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