Disclaimer: I have been delivered a copy of the book before the publication。 I have read the book， and I have promised to write my honest opinions 100%。Overview:A complete Data Science and Visualization fest with high-level clarity and quality。 Even if you don't know to code， this book can teach you everything step by step from how a computer works to how an interactive app can be created on the back-end and front-end side。 And， an analytical mind for data visualization， interpretation， and mani Disclaimer: I have been delivered a copy of the book before the publication。 I have read the book， and I have promised to write my honest opinions 100%。Overview:A complete Data Science and Visualization fest with high-level clarity and quality。 Even if you don't know to code， this book can teach you everything step by step from how a computer works to how an interactive app can be created on the back-end and front-end side。 And， an analytical mind for data visualization， interpretation， and manipulation will be presented by Elias Dabbas。 Aggregating data while grouping the data samples， and giving the flexibility to change parameters with interactive Dash is a powerful skill that can be learned from this book。 I recommend everyone this journey that will start with a simple Pandas Data Frame and a simple HTML Element， and end by using machine learning for data sample clustering and visualization with Dash that shows every angle for data manipulation。What I Like:First of all， even if you do something wrong， you have all of the code。 You can check what the author tells in his book， and also what he has written in the code。 And， the author incentives you to write your own code to follow his lead。 In other ways， it is like learning in a classroom without being a classroom。Also， the book makes everything complex easy to understand。 Structures the different phases of coding and introduces every necessary concept to the reader。 Every section of the book completes a missing part for the full picture of data science and visualization in an interactive way。I have learned lots of new ways and methods of the Pandas library， and I have learned that creating a web app for the users is not so hard with a dash。It includes machine learning for clustering the samples， and it made me excited。 Because， this book shows the reader how to give a decision authority to a machine， even if you don't know anything， it will guide you for the necessary steps。The author provides ready-to-go Jupyter Notebook examples with different versions for every chapter。 Even if you can't implement the code blocks， still you can check the right code structure to understand。The author makes every concept easier to understand， and every coder from every level will find something new to learn from this book。What I Don't Like:In some of the code blocks， there were some minor errors， at the beginning section of the book。Some of the chapters are really longer than others， and it is a completely normal situation， but also if you have stuck for one of these chapters， it might stall you for a time。If you don't have enough time or if you give a longer break than 3 days to book， you will need to repeat some latest sections， and finding where were you at your Jupyter notebook might not be easy。Adding different code blocks from the book to your Jupyter Notebook might not be easy while reading an offline book， but also， the Author provides you ready-to-go Jupyter Notebook examples for every lecture。 And， having some numeric labels for code blocks from the Jupyter notebook examples to the code blocks of the book would make the following easier。What I Would Like To SeeThe book's name explains and defines itself perfectly。 So， the book has shown what it promised to me。 。。。more