Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming (Record no. 98692)
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000 -LEADER | |
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fixed length control field | 02621 a2200169 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240801b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789355510655 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.74015 |
Cutter | DIX |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Dixit Rituraj |
245 ## - TITLE STATEMENT | |
Title | Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | BPB Publications |
Date of publication, distribution, etc | 2022 |
Place of publication, distribution, etc | India |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 276 |
520 ## - Remark | |
Summary, etc | An Absolute Beginner’s Guide to Learning Data Analysis Using Python, a Demanding Skill for Today<br/>Description<br/>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.<br/><br/>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.<br/><br/>Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming.<br/>What you will learn<br/>● Learn the fundamentals of core Python programming for data analysis.<br/>● Master Python's most demanding data analysis and visualization libraries, including Pandas, NumPy, and Matplotlib.<br/>Who this book is for<br/>This book is intended to help and teach college students and data professionals about Python's data analysis capabilities while also allowing them to work with Python tools.<br/>Before diving into this book, working knowledge of Python is a definite plus.<br/>Table of Contents<br/>1. Introducing Python<br/>2. Environment Setup for Development<br/>3. Operators and Built-in Data Types<br/>4. Conditional Expressions in Python<br/>5. Loops in Python<br/>6. Functions and Modules in Python<br/>7. Working with Files I/O in Python<br/>8. Introducing Data Analysis<br/>9. Introducing Pandas<br/>10. Introduction to NumPy<br/>11. Introduction to Matplotlib<br/>12. Connecting Dots Step by step Data Analysis Hands-on Use Case<br/><br/>Source: https://www.amazon.in/Data-Analysis-Python-Introducing-Programming/dp/9355510659/ref=sr_1_1?crid=1G1RKBYMLCILR&dib=eyJ2IjoiMSJ9.8haireXSdn2rpV5cFj8zjg.2k_w_o1YDSe8WSaLYcWlqdkKDp_cWsVaYufCccgoUvM&dib_tag=se&keywords=9789355510655&qid=1722520630&sprefix=9789355518149%2Caps%2C419&sr=8-1 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Analysis |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | Business Analytics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Collection Type | Programme | Total Renewals | Full call number | Barcode | Date last seen | Date last borrowed | Cost, replacement price | Koha item type |
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Dewey Decimal Classification | Reference book | Main Library | Main Library | Analytics | 10/07/2024 | Shanti Book | 719.20 | Indian Book | 2 | 005.74015 DIX | 119449 | 24/03/2025 | 10/03/2025 | 899.00 | Book |