Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming (Record no. 98692)

MARC details
000 -LEADER
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
Holdings
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
    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

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