Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming

By:

Dixit Rituraj

Publication details: BPB Publications 2022 IndiaDescription: 276ISBN:

9789355510655

Subject(s):

Data Analysis

DDC classification:

005.74015 DIX

Summary: An Absolute Beginner’s Guide to Learning Data Analysis Using Python, a Demanding Skill for Today Description 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. What you will learn ● Learn the fundamentals of core Python programming for data analysis. ● Master Python's most demanding data analysis and visualization libraries, including Pandas, NumPy, and Matplotlib. Who this book is for 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. Before diving into this book, working knowledge of Python is a definite plus. Table of 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 Hands-on Use Case 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

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Book	Main Library Analytics	Reference book	005.74015 DIX (Browse shelf(Opens below))	Available		119449

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An Absolute Beginner’s Guide to Learning Data Analysis Using Python, a Demanding Skill for Today
Description
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.
What you will learn
● Learn the fundamentals of core Python programming for data analysis.
● Master Python's most demanding data analysis and visualization libraries, including Pandas, NumPy, and Matplotlib.
Who this book is for
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.
Before diving into this book, working knowledge of Python is a definite plus.
Table of 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 Hands-on Use Case

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

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