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

<span>An Absolute Beginner’s Guide to Learning Data Analysis Using Python, a Demanding Skill for Today</span><span> <br><br></span><span>Key Features</span><span><br>● Hands-on learning experience of Python's fundamentals.<br>● Covers various examples of how to code end-to-end data analysis with easy illustrations.<br>● An excellent starting point to begin your data analysis journey with Python programming.<br><br></span><span>Description</span><span><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, 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.<br><br></span><span>What you will learn</span><span><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>● Refresh your step-by-step data analysis process with live examples.<br>● Extend your expertise to include real-time data analysis and the creation of simple Python scripts.<br>● Work with external files such as Excel, CSV, and others to clean them up for further analysis.<br><br></span><span>Who this book is for</span><span><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><br></span><span>Table of Contents</span><span><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</span>