Data Analysis with Python
eBook - ePub

Data Analysis with Python

Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming (English Edition)

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Data Analysis with Python

Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming (English Edition)

About this book

An Absolute Beginner's Guide to Learning Data Analysis Using Python, a Demanding Skill for Today

Key Features
? Hands-on learning experience of Python's fundamentals.
? Covers various examples of how to code end-to-end data analysis with easy illustrations.
? An excellent starting point to begin your data analysis journey with Python programming.

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, 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.

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.
? Refresh your step-by-step data analysis process with live examples.
? Extend your expertise to include real-time data analysis and the creation of simple Python scripts.
? Work with external files such as Excel, CSV, and others to clean them up for further analysis.

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

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Yes, you can access Data Analysis with Python by Rituraj Dixit in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Dedication Page
  5. About the Author
  6. About the Reviewer
  7. Acknowledgement
  8. Preface
  9. Errata
  10. Table of Contents
  11. 1. Introducing Python
  12. 2. Environment Setup for Development
  13. 3. Operators and Built-in Data Types
  14. 4. Conditional Expressions in Python
  15. 5. Loops in Python
  16. 6. Functions and Modules in Python
  17. 7. Working with Files I/O in Python
  18. 8. Introducing Data Analysis
  19. 9. Introducing Pandas
  20. 10. Introduction to NumPy
  21. 11. Introduction to Matplotlib
  22. 12. Connecting Dots – Step-by-step Data Analysis and Hands-on Use Case
  23. Index